Index (com.irurueta:irurueta-algebra 1.4.0-SNAPSHOT API)

A B C D E F G H I J L M N O P Q R S T U V W
All Classes and Interfaces|All Packages|Constant Field Values|Serialized Form

A

add(Complex) - Method in class com.irurueta.algebra.Complex: Adds provided complex into this instance
add(Complex, Complex) - Method in class com.irurueta.algebra.Complex: Adds this instance with provided complex value and stores the result in provided instance
add(Matrix) - Method in class com.irurueta.algebra.Matrix: Adds provided matrix to this instance.
add(Matrix, Matrix) - Method in class com.irurueta.algebra.Matrix: Adds another matrix to this matrix instance and stores the result in provided result matrix.
addAndReturnNew(Complex) - Method in class com.irurueta.algebra.Complex: Adds this instance to provided complex and returns the result as a new instance.
addAndReturnNew(Matrix) - Method in class com.irurueta.algebra.Matrix: Adds provided matrix to this instance and returns the result as a new matrix instance.
AlgebraException - Exception in com.irurueta.algebra: Base exception for all exception in the com.irurueta.algebra package
AlgebraException() - Constructor for exception com.irurueta.algebra.AlgebraException: Constructor
AlgebraException(String) - Constructor for exception com.irurueta.algebra.AlgebraException: Constructor with String containing message
AlgebraException(String, Throwable) - Constructor for exception com.irurueta.algebra.AlgebraException: Constructor with message and cause
AlgebraException(Throwable) - Constructor for exception com.irurueta.algebra.AlgebraException: Constructor with cause
angle(double[], double[]) - Static method in class com.irurueta.algebra.ArrayUtils: Computes the angle between two vectors.
ArrayUtils - Class in com.irurueta.algebra: Class containing utility methods for common operations with arrays of values.
ArrayUtils() - Constructor for class com.irurueta.algebra.ArrayUtils: Constructor.
ARTIFACT_ID_KEY - Static variable in class com.irurueta.algebra.BuildInfo: Key to obtain artifactId of this library from properties file.
artifactId - Variable in class com.irurueta.algebra.BuildInfo: ArtifactId of this library.

B

branch - Variable in class com.irurueta.algebra.BuildInfo: Build branch.
BRANCH_KEY - Static variable in class com.irurueta.algebra.BuildInfo: Key to obtain build branch from properties file.
buffer - Variable in class com.irurueta.algebra.Matrix: Array containing data of matrix.
BUILD_INFO_PROPERTIES - Static variable in class com.irurueta.algebra.BuildInfo: Location of properties file that contains build data.
BUILD_NUMBER_KEY - Static variable in class com.irurueta.algebra.BuildInfo: Key to obtain build number from properties file.
BUILD_TIMESTAMP_KEY - Static variable in class com.irurueta.algebra.BuildInfo: Key to obtain build timestamp from properties file.
BuildInfo - Class in com.irurueta.algebra: Contains build data of this library.
BuildInfo() - Constructor for class com.irurueta.algebra.BuildInfo: Constructor.
buildNumber - Variable in class com.irurueta.algebra.BuildInfo: Build number.
buildTimestamp - Variable in class com.irurueta.algebra.BuildInfo: Build timestamp.

C

cdf(double[]) - Method in class com.irurueta.statistics.MultivariateNormalDist: Evaluates the cumulative distribution function (c.d.f.) of a Gaussian distribution having current mean and covariance values.
cdf(double[], Matrix) - Method in class com.irurueta.statistics.MultivariateNormalDist: Evaluates the cumulative distribution function (c.d.f.) of a Gaussian distribution having current mean and covariance values.
CHOLESKY_DECOMPOSITION - Enum constant in enum class com.irurueta.algebra.DecomposerType: Defines Cholesky decomposition, which decomposes a square symmetric and positive definite matrix into a triangular factor (L) and its transposed (L').
CholeskyDecomposer - Class in com.irurueta.algebra: This class allows decomposition of matrices using Cholesky decomposition, which consists on retrieving a lower or upper triangular matrix so that input matrix can be decomposed as: A = L * L' = R' * R, where A is provided input matrix, L is a lower triangular matrix and R is an upper triangular matrix.
CholeskyDecomposer() - Constructor for class com.irurueta.algebra.CholeskyDecomposer: Constructor of this class.
CholeskyDecomposer(Matrix) - Constructor for class com.irurueta.algebra.CholeskyDecomposer: Constructor of this class.
clone() - Method in class com.irurueta.algebra.Complex: Makes a copy of this instance having the same real and imaginary parts.
clone() - Method in class com.irurueta.algebra.Matrix: Returns a new matrix instance containing the same data as this instance.
columnIndex - Variable in class com.irurueta.algebra.Matrix: Array used for indexing column start positions within buffer.
columns - Variable in class com.irurueta.algebra.Matrix: Number of matrix columns.
com.irurueta.algebra - package com.irurueta.algebra: This package contains classes related to algebra, such as Matrix class to contains matrices data and simple operations or Complex to handle computations with Complex numbers.
com.irurueta.statistics - package com.irurueta.statistics
commit - Variable in class com.irurueta.algebra.BuildInfo: Build commit.
COMMIT_KEY - Static variable in class com.irurueta.algebra.BuildInfo: Key to obtain build commit from properties file.
Complex - Class in com.irurueta.algebra: Class defining a Complex number having real and imaginary parts.
Complex() - Constructor for class com.irurueta.algebra.Complex: Constructor.
Complex(double) - Constructor for class com.irurueta.algebra.Complex: Creates new Complex number having provided real value and an imaginary part equal to zero.
Complex(double, double) - Constructor for class com.irurueta.algebra.Complex: Creates new Complex number having provided real and imaginary parts.
Complex(Complex) - Constructor for class com.irurueta.algebra.Complex: Creates new Complex number by copying provided value.
cond(Matrix) - Static method in class com.irurueta.algebra.Utils: Computes condition number of provided matrix.
conjugate() - Method in class com.irurueta.algebra.Complex: Changes this instance into its complex conjugate.
conjugate(Complex) - Method in class com.irurueta.algebra.Complex: Computes the complex conjugate of this instance and stores the result into provided complex instance.
conjugateAndReturnNew() - Method in class com.irurueta.algebra.Complex: Computes the complex conjugate of this instance and returns the result as a new instance.
copyFrom(Complex) - Method in class com.irurueta.algebra.Complex: Copies provided value into current instance.
copyFrom(Matrix) - Method in class com.irurueta.algebra.Matrix: Copies the contents of provided matrix into this instance.
copyTo(Matrix) - Method in class com.irurueta.algebra.Matrix: Copies this matrix data into provided matrix.
cov - Variable in class com.irurueta.statistics.MultivariateNormalDist: Covariance of Gaussian distribution.
covariance - Variable in class com.irurueta.statistics.MultivariateGaussianRandomizer: Covariance matrix.
covBasis - Variable in class com.irurueta.statistics.MultivariateNormalDist: Basis in which the covariance matrix is expressed.
create() - Static method in class com.irurueta.algebra.NormComputer: Factory method.
create(NormType) - Static method in class com.irurueta.algebra.NormComputer: Factory method.
createWithGaussianRandomValues(int, int, double, double) - Static method in class com.irurueta.algebra.Matrix: Creates new matrix instance using provided size and containing gaussian/normal distributed random values with provided median and standard deviation.
createWithGaussianRandomValues(int, int, double, double, Random) - Static method in class com.irurueta.algebra.Matrix: Creates new matrix instance using provided size and containing gaussian/normal distributed random values with provided median and standard deviation and using provided random generator
createWithUniformRandomValues(int, int, double, double) - Static method in class com.irurueta.algebra.Matrix: Creates new matrix instance using provided size and containing uniformly distributed random values with provided range.
createWithUniformRandomValues(int, int, double, double, Random) - Static method in class com.irurueta.algebra.Matrix: Creates new matrix instance using provided size and containing uniformly distributed random values with provided range and using provided random generator
crossProduct(double[], double[]) - Static method in class com.irurueta.algebra.Utils: Computes the cross product of two vectors of length 3 The cross product of two vectors a and b is denoted as 'axb' or 'a^b', resulting in a perpendicular vector to both a and b vectors.
crossProduct(double[], double[], double[]) - Static method in class com.irurueta.algebra.Utils: Computes the cross product of two vectors of length 3 The cross product of two vectors a and b is denoted as 'axb' or 'a^b', resulting in a perpendicular vector to both a and b vectors.
crossProduct(double[], double[], double[], Matrix, Matrix) - Static method in class com.irurueta.algebra.Utils: Computes the cross product of two vectors of length 3 The cross product of two vectors a and b is denoted as 'axb' or 'a^b', resulting in a perpendicular vector to both a and b vectors.
crossProduct(double[], double[], Matrix, Matrix) - Static method in class com.irurueta.algebra.Utils: Computes the cross product of two vectors of length 3 The cross product of two vectors a and b is denoted as 'axb' or 'a^b', resulting in a perpendicular vector to both a and b vectors.
crossProduct(double[], Matrix) - Static method in class com.irurueta.algebra.Utils: Computes the cross product of one vector of length 3 and N vectors of length 3.
crossProduct(double[], Matrix, Matrix) - Static method in class com.irurueta.algebra.Utils: Computes the cross product of one vector of length 3 and N vectors of length 3.

D

decompose() - Method in class com.irurueta.algebra.CholeskyDecomposer: This method computes Cholesky matrix decomposition, which consists on factoring provided input matrix whenever it is square, symmetric and positive definite into a lower triangulator factor such that it follows next expression: A = L * L' where A is input matrix and L is lower triangular factor (L' is its transposed).
decompose() - Method in class com.irurueta.algebra.Decomposer: This method computes matrix decomposition for each decomposer type.
decompose() - Method in class com.irurueta.algebra.EconomyQRDecomposer: This method computes QR matrix decomposition, which consists on factoring provided input matrix into an orthogonal matrix (Q) and an upper triangular matrix (R).
decompose() - Method in class com.irurueta.algebra.LUDecomposer: This method computes LU matrix decomposition, which consists on retrieving two triangular matrices (Lower triangular and Upper triangular) as a decomposition of provided input matrix.
decompose() - Method in class com.irurueta.algebra.QRDecomposer: This method computes LU matrix decomposition, which consists on retrieving two triangular matrices (Lower triangular and Upper triangular) as a decomposition of provided input matrix.
decompose() - Method in class com.irurueta.algebra.RQDecomposer: This method computes RQ matrix decomposition, which consists on factoring provided input matrix into an upper triangular matrix (R) and an orthogonal matrix (Q).
decompose() - Method in class com.irurueta.algebra.SingularValueDecomposer: This method computes Singular Value matrix decomposition, which consists on factoring provided input matrix into three factors consisting of 2 unary matrices and 1 diagonal matrix containing singular values, following next expression: A = U * S * V'.
Decomposer - Class in com.irurueta.algebra
Decomposer() - Constructor for class com.irurueta.algebra.Decomposer: Constructor of this class.
Decomposer(Matrix) - Constructor for class com.irurueta.algebra.Decomposer: Constructor of this class.
DecomposerException - Exception in com.irurueta.algebra: Exception raised when some decomposer algorithm fails.
DecomposerException() - Constructor for exception com.irurueta.algebra.DecomposerException: Constructor
DecomposerException(String) - Constructor for exception com.irurueta.algebra.DecomposerException: Constructor with String containing message
DecomposerException(String, Throwable) - Constructor for exception com.irurueta.algebra.DecomposerException: Constructor with message and cause
DecomposerException(Throwable) - Constructor for exception com.irurueta.algebra.DecomposerException: Constructor with cause
DecomposerType - Enum Class in com.irurueta.algebra: Enumerator indicating the possible methods available for matrix decomposition.
DecomposerType() - Constructor for enum class com.irurueta.algebra.DecomposerType
DEFAULT_MAX_ITERS - Static variable in class com.irurueta.algebra.SingularValueDecomposer: Constant defining default number of iterations to obtain convergence on singular value estimation.
DEFAULT_NORM_TYPE - Static variable in class com.irurueta.algebra.NormComputer: Constant defining default norm type to be used.
DEFAULT_ORTHOGONAL_THRESHOLD - Static variable in class com.irurueta.algebra.Utils: Constant defining the default threshold to determine whether a matrix is orthonormal or not.
DEFAULT_ROUND_ERROR - Static variable in class com.irurueta.algebra.EconomyQRDecomposer: Constant defining default round error when determining full rank of matrices.
DEFAULT_ROUND_ERROR - Static variable in class com.irurueta.algebra.LUDecomposer: Constant defining default round error when determining singularity of matrices.
DEFAULT_ROUND_ERROR - Static variable in class com.irurueta.algebra.QRDecomposer: Constant defining default round error when determining full rank of matrices.
DEFAULT_SYMMETRIC_THRESHOLD - Static variable in class com.irurueta.algebra.Utils: Constant defining the default threshold to compare the different content of one matrix to check whether is symmetric.
DEFAULT_USE_COLUMN_ORDER - Static variable in class com.irurueta.algebra.Matrix: Constant defining the default order in which values are stored in a matrix.
det(Matrix) - Static method in class com.irurueta.algebra.Utils: Computes determinant of provided matrix.
determinant() - Method in class com.irurueta.algebra.LUDecomposer: Returns determinant of provided input matrix using LU decomposition as means to obtain it.
diagonal(double[]) - Static method in class com.irurueta.algebra.Matrix: Creates a diagonal matrix having all the elements in provided array in its diagonal and the remaining elements equal to zero.
diagonal(double[], Matrix) - Static method in class com.irurueta.algebra.Matrix: Makes provided result matrix a diagonal matrix containing provided elements in the diagonal.
divide(Complex) - Method in class com.irurueta.algebra.Complex: Divides this instance by provided complex.
divide(Complex, Complex) - Method in class com.irurueta.algebra.Complex: Divides this instance by provided instance and stores the result in provided instance.
divideAndReturnNew(Complex) - Method in class com.irurueta.algebra.Complex: Divides this instance by provided instance and returns the result as a new instance.
dotProduct(double[], double[]) - Static method in class com.irurueta.algebra.ArrayUtils: Computes the dot product of provided arrays as the sum of the product of the elements of both arrays.
dotProduct(double[], double[]) - Static method in class com.irurueta.algebra.Utils: Computes the dot product of provided arrays as the sum of the product of the elements of both arrays.
dotProduct(double[], double[], Matrix, Matrix) - Static method in class com.irurueta.algebra.ArrayUtils: Computes the dot product of provided arrays as the sum of the product of the elements of both arrays.
dotProduct(double[], double[], Matrix, Matrix) - Static method in class com.irurueta.algebra.Utils: Computes the dot product of provided arrays as the sum of the product of the elements of both arrays.
dotProduct(Complex[], Complex[]) - Static method in class com.irurueta.algebra.ArrayUtils: Computes the dot product of provided arrays as the sum of the product of the elements of both arrays
dotProduct(Matrix, Matrix) - Static method in class com.irurueta.algebra.Utils: Computes the dot product of provided matrices, as the sum of the product of the elements on both matrices, assuming that both represent column vectors.
dotProduct(Matrix, Matrix, Matrix, Matrix) - Static method in class com.irurueta.algebra.Utils: Computes the dot product of provided matrices, as the sum of the product of the elements on both matrices, assuming that both represent column vectors.

E

EconomyQRDecomposer - Class in com.irurueta.algebra: This decomposer computes economy QR decomposition, which is faster than typical QR decomposition.
EconomyQRDecomposer() - Constructor for class com.irurueta.algebra.EconomyQRDecomposer: Constructor of this class.
EconomyQRDecomposer(Matrix) - Constructor for class com.irurueta.algebra.EconomyQRDecomposer: Constructor of this class.
elementByElementProduct(Matrix) - Method in class com.irurueta.algebra.Matrix: Computes element by element product (i.e.
elementByElementProduct(Matrix, Matrix) - Method in class com.irurueta.algebra.Matrix: Computes element by element product (i.e.
elementByElementProductAndReturnNew(Matrix) - Method in class com.irurueta.algebra.Matrix: Computes element by element product (i.e.
eps - Variable in class com.irurueta.algebra.SingularValueDecomposer: Contains epsilon value, which indicates an estimation of numerical precision given by this machine.
EPS - Static variable in class com.irurueta.algebra.SingularValueDecomposer: Constant defining machine precision.
EPSILON - Static variable in class com.irurueta.algebra.Utils: Constant defining machine precision
equals(Complex, double) - Method in class com.irurueta.algebra.Complex: Determines whether two Complex objects are equal or not up to a certain level of tolerance in both their real and imaginary parts.
equals(Matrix) - Method in class com.irurueta.algebra.Matrix: Checks if provided matrix has exactly the same contents as this matrix instance.
equals(Matrix, double) - Method in class com.irurueta.algebra.Matrix: Checks if provided matrix has contents similar to this matrix by checking that all values have a maximum difference equal to provided threshold and same size.
equals(Object) - Method in class com.irurueta.algebra.Complex: Determines whether two Complex objects are equal or not.
equals(Object) - Method in class com.irurueta.algebra.Matrix: Checks if provided object is a Matrix instance having exactly the same contents as this matrix instance.
evaluate(double[], double[], Matrix) - Method in interface com.irurueta.statistics.MultivariateNormalDist.JacobianEvaluator: Evaluates multivariate point

F

fillWithGaussianRandomValues(double, double, Matrix) - Static method in class com.irurueta.algebra.Matrix: Fills provided matrix with random Gaussian values with provided mean and standard deviation
fillWithGaussianRandomValues(double, double, Random, Matrix) - Static method in class com.irurueta.algebra.Matrix: Fills provided matrix with random Gaussian values with provided mean and standard deviation.
fillWithUniformRandomValues(double, double, Matrix) - Static method in class com.irurueta.algebra.Matrix: Fills provided matrix with random uniform values ranging from minValue to maxValue.
fillWithUniformRandomValues(double, double, Random, Matrix) - Static method in class com.irurueta.algebra.Matrix: Fills provided matrix with random uniform values ranging from minValue to maxValue.
FROBENIUS_NORM - Enum constant in enum class com.irurueta.algebra.NormType: Defines Frobenius norm type.
FrobeniusNormComputer - Class in com.irurueta.algebra: Class in charge of computing Frobenius norms of vectors and matrices.
FrobeniusNormComputer() - Constructor for class com.irurueta.algebra.FrobeniusNormComputer: Constructor of this class.
fromArray(double[]) - Method in class com.irurueta.algebra.Matrix: Copies elements of array into this instance using column order.
fromArray(double[], boolean) - Method in class com.irurueta.algebra.Matrix: Copies elements of array into this instance using provided order.

G

GaussJordanElimination - Class in com.irurueta.algebra: Computes Gauss-Jordan elimination for provided matrix using full pivoting, which provides greater stability.
GaussJordanElimination() - Constructor for class com.irurueta.algebra.GaussJordanElimination: Constructor.
getArtifactId() - Method in class com.irurueta.algebra.BuildInfo: Obtains artifactId of this library.
getBranch() - Method in class com.irurueta.algebra.BuildInfo: Obtains build branch.
getBuffer() - Method in class com.irurueta.algebra.Matrix: Returns current matrix internal buffer of data.
getBuildNumber() - Method in class com.irurueta.algebra.BuildInfo: Obtains build number.
getBuildTimestamp() - Method in class com.irurueta.algebra.BuildInfo: Obtains build timestamp.
getColumns() - Method in class com.irurueta.algebra.Matrix: Returns number of columns in matrix.
getCommit() - Method in class com.irurueta.algebra.BuildInfo: Obtains build commit.
getConditionNumber() - Method in class com.irurueta.algebra.SingularValueDecomposer: Returns the condition number of provided input matrix found after decomposition.
getCovariance() - Method in class com.irurueta.statistics.MultivariateGaussianRandomizer: Returns covariance to be used for Gaussian random value generation.
getCovariance() - Method in class com.irurueta.statistics.MultivariateNormalDist: Gets matrix containing covariance of this multivariate Gaussian distribution.
getCovariance(Matrix) - Method in class com.irurueta.statistics.MultivariateNormalDist: Gets matrix containing covariance of this multivariate Gaussian distribution.
getCovarianceBasis() - Method in class com.irurueta.statistics.MultivariateNormalDist: Basis containing on each column the direction of each variance in the multidimensional Gaussian distribution, which is obtained from provided covariance matrix.
getDecomposerType() - Method in class com.irurueta.algebra.CholeskyDecomposer: Returns decomposer type corresponding to Cholesky decomposition.
getDecomposerType() - Method in class com.irurueta.algebra.Decomposer: Returns decomposer type of this instance.
getDecomposerType() - Method in class com.irurueta.algebra.EconomyQRDecomposer: Returns decomposer type corresponding to Economy QR decomposition.
getDecomposerType() - Method in class com.irurueta.algebra.LUDecomposer: Returns decomposer type corresponding to LU decomposition
getDecomposerType() - Method in class com.irurueta.algebra.QRDecomposer: Returns decomposer type corresponding to QR decomposition.
getDecomposerType() - Method in class com.irurueta.algebra.RQDecomposer: Returns decomposer type corresponding to RQ decomposition.
getDecomposerType() - Method in class com.irurueta.algebra.SingularValueDecomposer: Returns decomposer type corresponding to Singular Value decomposition.
getElementAt(int, int) - Method in class com.irurueta.algebra.Matrix: Obtains element in matrix located at position (row and column).
getElementAtIndex(int) - Method in class com.irurueta.algebra.Matrix: Obtains element in matrix located at provided index value using the order specified by DEFAULT_USE_COLUMN_ORDER.
getElementAtIndex(int, boolean) - Method in class com.irurueta.algebra.Matrix: Obtain element in matrix located at provided index value using provided order (either column or row order).
getGroupId() - Method in class com.irurueta.algebra.BuildInfo: Obtains groupId of this library.
getH() - Method in class com.irurueta.algebra.EconomyQRDecomposer: Returns the Householder vectors.
getH(Matrix) - Method in class com.irurueta.algebra.EconomyQRDecomposer: Computes the Householder vectors and store them in provided matrix.
getImaginary() - Method in class com.irurueta.algebra.Complex: Returns imaginary part of complex number.
getIndex(int, int) - Method in class com.irurueta.algebra.Matrix: Returns index within internal buffer corresponding to provided row and column positions.
getInputMatrix() - Method in class com.irurueta.algebra.Decomposer: Returns a reference to input matrix to be decomposed.
getInstance() - Static method in class com.irurueta.algebra.BuildInfo: Obtains singleton instance.
getL() - Method in class com.irurueta.algebra.CholeskyDecomposer: Returns Cholesky matrix factor corresponding to a Lower triangular matrix following this expression: A = L * L'.
getL() - Method in class com.irurueta.algebra.LUDecomposer: Returns a new matrix instance containing the pivot corrected Lower triangular matrix resulting from LU decomposition for provided input matrix.
getL(Matrix) - Method in class com.irurueta.algebra.LUDecomposer: Fills provided matrix instance with the pivot corrected Lower triangular matrix resulting from LU decomposition for provided input matrix.
getMaxIterations() - Method in class com.irurueta.algebra.SingularValueDecomposer: Returns maximum number of iterations to be done in order to obtain convergence of singular values when computing input matrix Singular Value Decomposition.
getMean() - Method in class com.irurueta.statistics.MultivariateGaussianRandomizer: Returns mean value to be used for Gaussian random value generation.
getMean() - Method in class com.irurueta.statistics.MultivariateNormalDist: Gets array containing mean of this multivariate Gaussian distribution.
getModulus() - Method in class com.irurueta.algebra.Complex: Returns modulus of current complex number, which is equal to the length of the vector formed by the real and imaginary parts.
getNegligibleSingularValueThreshold() - Method in class com.irurueta.algebra.SingularValueDecomposer: Returns threshold to be used for determining whether a singular value is negligible or not.
getNorm(double[]) - Method in class com.irurueta.algebra.FrobeniusNormComputer: Computes norm of provided array.
getNorm(double[]) - Method in class com.irurueta.algebra.InfinityNormComputer: Computes norm of provided array.
getNorm(double[]) - Method in class com.irurueta.algebra.NormComputer: Computes norm of provided array.
getNorm(double[]) - Method in class com.irurueta.algebra.OneNormComputer: Computes norm of provided array.
getNorm(double[], Matrix) - Method in class com.irurueta.algebra.NormComputer: Computes norm of provided array and stores the jacobian into provided instance.
getNorm(Matrix) - Method in class com.irurueta.algebra.FrobeniusNormComputer: Computes norm of provided matrix.
getNorm(Matrix) - Method in class com.irurueta.algebra.InfinityNormComputer: Computes norm of provided matrix.
getNorm(Matrix) - Method in class com.irurueta.algebra.NormComputer: Computes norm of provided matrix.
getNorm(Matrix) - Method in class com.irurueta.algebra.OneNormComputer: Computes norm of provided matrix.
getNorm2() - Method in class com.irurueta.algebra.SingularValueDecomposer: Returns the 2-norm of provided input matrix, which is equal to the highest singular value found after decomposition.
getNormType() - Method in class com.irurueta.algebra.FrobeniusNormComputer: Returns norm type being used by this class.
getNormType() - Method in class com.irurueta.algebra.InfinityNormComputer: Returns norm type being used by this class.
getNormType() - Method in class com.irurueta.algebra.NormComputer: Returns norm type being used by this class.
getNormType() - Method in class com.irurueta.algebra.OneNormComputer: Returns norm type being used by this class.
getNullity() - Method in class com.irurueta.algebra.SingularValueDecomposer: Returns effective numerical matrix nullity.
getNullity(double) - Method in class com.irurueta.algebra.SingularValueDecomposer: Returns effective numerical matrix nullity.
getNullspace() - Method in class com.irurueta.algebra.SingularValueDecomposer: Returns matrix containing null-space of provided input matrix, which spans a subspace of dimension equal to the nullity of input matrix.
getNullspace(double) - Method in class com.irurueta.algebra.SingularValueDecomposer: Returns matrix containing null-space of provided input matrix, which spans a subspace of dimension equal to the nullity of input matrix.
getNullspace(double, Matrix) - Method in class com.irurueta.algebra.SingularValueDecomposer: Sets into provided matrix null-space of provided input matrix, which spans a subspace of dimension equal to the nullity of input matrix.
getNullspace(Matrix) - Method in class com.irurueta.algebra.SingularValueDecomposer: Sets into provided matrix null-space of provided input matrix, which spans a subspace of dimension equal to the nullity of input matrix.
getNumberOfVariables() - Method in interface com.irurueta.statistics.MultivariateNormalDist.JacobianEvaluator: Number of variables in output of evaluated function.
getPhase() - Method in class com.irurueta.algebra.Complex: Returns phase of current complex number, in radians.
getPivot() - Method in class com.irurueta.algebra.LUDecomposer: Returns pivot permutation vector.
getPivottedL() - Method in class com.irurueta.algebra.LUDecomposer: Returns a new matrix instance containing the Lower triangular matrix resulting from LU decomposition before correcting any possible pivots.
getPivottedL(Matrix) - Method in class com.irurueta.algebra.LUDecomposer: Fills provided matrix instance with the Lower triangular matrix resulting from LU decomposition before correcting any possible pivots.
getQ() - Method in class com.irurueta.algebra.EconomyQRDecomposer: Return the economy-sized orthogonal factor matrix.
getQ() - Method in class com.irurueta.algebra.QRDecomposer: Returns the economy-sized orthogonal factor matrix.
getQ() - Method in class com.irurueta.algebra.RQDecomposer: Returns the economy-sized orthogonal factor matrix.
getQ(Matrix) - Method in class com.irurueta.algebra.EconomyQRDecomposer: Computes the economy-sized orthogonal factor matrix and stores it into provided matrix.
getR() - Method in class com.irurueta.algebra.CholeskyDecomposer: Returns Cholesky matrix factor corresponding to an upper triangular matrix following this expression: A = R' * R.
getR() - Method in class com.irurueta.algebra.EconomyQRDecomposer: Return upper triangular factor matrix.
getR() - Method in class com.irurueta.algebra.QRDecomposer: Returns upper triangular factor matrix.
getR() - Method in class com.irurueta.algebra.RQDecomposer: Returns upper triangular factor matrix.
getR(Matrix) - Method in class com.irurueta.algebra.EconomyQRDecomposer: Computes upper triangular factor matrix and stores it into provided matrix.
getRange() - Method in class com.irurueta.algebra.SingularValueDecomposer: Return matrix containing Range space of provided input matrix, which spans a subspace of dimension equal to the rank of input matrix.
getRange(double) - Method in class com.irurueta.algebra.SingularValueDecomposer: Returns matrix containing Range space of provided input matrix, which spans a subspace of dimension equal to the rank of input matrix.
getRange(double, Matrix) - Method in class com.irurueta.algebra.SingularValueDecomposer: Sets into provided range matrix the Range space of provided input matrix, which spans a subspace of dimension equal to the rank of input matrix.
getRange(Matrix) - Method in class com.irurueta.algebra.SingularValueDecomposer: Sets into provided range matrix the Range space of provided input matrix, which spans a subspace of dimension equal to the rank of input matrix.
getRank() - Method in class com.irurueta.algebra.SingularValueDecomposer: Returns effective numerical matrix rank.
getRank(double) - Method in class com.irurueta.algebra.SingularValueDecomposer: Returns effective numerical matrix rank.
getReal() - Method in class com.irurueta.algebra.Complex: Returns real part of complex number.
getReciprocalConditionNumber() - Method in class com.irurueta.algebra.SingularValueDecomposer: Returns the inverse of the condition number, i.e. 1.0 / condition number.
getRows() - Method in class com.irurueta.algebra.Matrix: Returns number of rows in matrix.
getSingularValues() - Method in class com.irurueta.algebra.SingularValueDecomposer: Returns a new vector instance containing all singular values after decomposition.
getSubmatrix(int, int, int, int) - Method in class com.irurueta.algebra.Matrix: Obtains a sub-matrix of current matrix instance.
getSubmatrix(int, int, int, int, Matrix) - Method in class com.irurueta.algebra.Matrix: Obtains a sub-matrix of current matrix instance.
getSubmatrixAsArray(int, int, int, int) - Method in class com.irurueta.algebra.Matrix: Obtains sub-matrix of current matrix instance as an array of values using DEFAULT_USE_COLUMN_ORDER.
getSubmatrixAsArray(int, int, int, int, boolean) - Method in class com.irurueta.algebra.Matrix: Obtains sub-matrix of current matrix instance as an array of values using provided order.
getSubmatrixAsArray(int, int, int, int, boolean, double[]) - Method in class com.irurueta.algebra.Matrix: Retrieves a sub-matrix of current matrix instance as an array of values using provided column order and storing the result in provided array.
getSubmatrixAsArray(int, int, int, int, double[]) - Method in class com.irurueta.algebra.Matrix: Retrieves a sub-matrix of current matrix instance as an array of values using column order and storing the result in provided array.
getU() - Method in class com.irurueta.algebra.LUDecomposer: Returns a new matrix instance containing the Upper triangular matrix resulting from LU decomposition for provided input matrix.
getU() - Method in class com.irurueta.algebra.SingularValueDecomposer: Returns a new matrix instance containing the left singular vector (U factor) from Singular Value matrix decomposition, which consists on decomposing a matrix using the following expression: A = U * S * V'.
getU(Matrix) - Method in class com.irurueta.algebra.LUDecomposer: Fills provided matrix instance with the Upper triangular matrix resulting from LU decomposition for provided input matrix.
getV() - Method in class com.irurueta.algebra.SingularValueDecomposer: Returns a new matrix instance containing the right singular vectors (V factor) from Singular Value matrix decomposition, which consists on decomposing a matrix using the following expression: A = U * S * V', Where A is provided input matrix of size m-by-n and V' denotes the transpose/conjugate of V, which is an n-by-n unary matrix for m < n.
getVariances() - Method in class com.irurueta.statistics.MultivariateNormalDist: Array containing the amount of variance on each direction of the basis of the covariance in the multidimensional Gaussian distribution.
getVersion() - Method in class com.irurueta.algebra.BuildInfo: Obtains version of this library.
getW() - Method in class com.irurueta.algebra.SingularValueDecomposer: Returns a new diagonal matrix instance containing all singular values on its diagonal after Singular Value matrix decomposition, which consists on decomposing a matrix using the following expression: A = U * S * V'.
getW(Matrix) - Method in class com.irurueta.algebra.SingularValueDecomposer: Copies diagonal matrix into provided instance containing all singular values on its diagonal after Singular Value matrix decomposition, which consists on decomposing a matrix using the following expression: A = U * S * V'.
GROUP_ID_KEY - Static variable in class com.irurueta.algebra.BuildInfo: Key to obtain groupID of this library from properties file.
groupId - Variable in class com.irurueta.algebra.BuildInfo: GroupId of this library.

H

hashCode() - Method in class com.irurueta.algebra.Complex: Computes the hashcode of this instance.
hashCode() - Method in class com.irurueta.algebra.Matrix: Computes and returns hash code for this instance.

I

identity(int, int) - Static method in class com.irurueta.algebra.Matrix: Creates and returns a new matrix instance having all the elements on the diagonal equal to one and the remaining ones equal to zero.
identity(Matrix) - Static method in class com.irurueta.algebra.Matrix: Sets values into provided matrix to make it an identity matrix (all elements in the diagonal equal to one, and remaining elements to zero).
imaginary - Variable in class com.irurueta.algebra.Complex: Imaginary part of the complex number.
INFINITY_NORM - Enum constant in enum class com.irurueta.algebra.NormType: Defines Infinity norm type, which is the maximum row sum on a matrix.
InfinityNormComputer - Class in com.irurueta.algebra: Class in charge of computing infinity norms of vectors and matrices.
InfinityNormComputer() - Constructor for class com.irurueta.algebra.InfinityNormComputer: Constructor of this class.
initialize(double) - Method in class com.irurueta.algebra.Matrix: Sets the contents of this matrix to provided value in all of its elements
inputMatrix - Variable in class com.irurueta.algebra.Decomposer: Reference to input matrix to be decomposed.
internalAdd(Matrix, Matrix) - Method in class com.irurueta.algebra.Matrix: Method to internally add two matrices.
internalDecompose() - Method in class com.irurueta.algebra.SingularValueDecomposer: This method is called internally by decompose(), and actually computes Singular Value Decomposition.
internalDecomposer - Variable in class com.irurueta.algebra.RQDecomposer: Internal QR decomposer used behind the scenes to compute RQ decomposition.
internalElementByElementProduct(Matrix, Matrix) - Method in class com.irurueta.algebra.Matrix: Method to internally compute element by element product of two matrices.
internalGetNullspace(int, double, Matrix) - Method in class com.irurueta.algebra.SingularValueDecomposer: Internal method to copy null-space vector values into provided matrix.
internalGetRange(int, double, Matrix) - Method in class com.irurueta.algebra.SingularValueDecomposer: Internal method to copy range space vector values into provided matrix.
internalGetSubmatrix(int, int, int, int, Matrix) - Method in class com.irurueta.algebra.Matrix: Internal method to retrieve a sub-matrix of current matrix instance.
internalGetSubmatrixAsArray(int, int, int, int, boolean, double[]) - Method in class com.irurueta.algebra.Matrix: Internal method to retrieve a sub-matrix of current matrix instance as an array of values using provided column order and storing the result in provided array.
internalMultiply(Matrix, double[], int[]) - Method in class com.irurueta.algebra.Matrix: Method to internally multiply two matrices.
internalMultiply(Matrix, Matrix) - Method in class com.irurueta.algebra.Matrix: Method to internally multiply two matrices.
internalMultiplyByScalar(double[], double, double[]) - Static method in class com.irurueta.algebra.ArrayUtils: Internal method that multiplied by scalar provided input array without comparing length of input array and result array.
internalMultiplyByScalar(Complex[], double, Complex[]) - Static method in class com.irurueta.algebra.ArrayUtils: Internal method that multiplied by scalar provided input array without comparing length of input array and result array.
internalMultiplyKronecker(Matrix, double[], int[]) - Method in class com.irurueta.algebra.Matrix: Method to internally compute the Kronecker product between two matrices.
internalMultiplyKronecker(Matrix, Matrix) - Method in class com.irurueta.algebra.Matrix: Method to internally compute the Kronecker product between two matrices.
internalRandom - Variable in class com.irurueta.statistics.MultivariateGaussianRandomizer: Instance in charge of generating pseudo-random values.
internalResize(int, int) - Method in class com.irurueta.algebra.Matrix: Method used internally to remove matrix contents and resizing it.
internalSkewMatrix(Matrix, Matrix, boolean) - Static method in class com.irurueta.algebra.Utils: Internal method to compute skew matrix
internalSubtract(double[], double[], double[]) - Static method in class com.irurueta.algebra.ArrayUtils: Subtracts provided operands arrays and stores the result in provided result array (i.e. result = firstOperand - secondOperand).
internalSubtract(Complex[], Complex[], Complex[]) - Static method in class com.irurueta.algebra.ArrayUtils: Subtracts provided operands arrays and stores the result in provided result array (i.e. result = firstOperand - secondOperand).
internalSubtract(Matrix, Matrix) - Method in class com.irurueta.algebra.Matrix: Method to internally subtract two matrices.
internalSum(double[], double[], double[]) - Static method in class com.irurueta.algebra.ArrayUtils: Sums provided operands arrays and stores the result in provided result array (i.e. result = firstOperand + secondOperand).
internalSum(Complex[], Complex[], Complex[]) - Static method in class com.irurueta.algebra.ArrayUtils: Sums provided operands arrays and stores the result in provided result array (i.e. result = firstOperand + secondOperand).
internalTranspose(double[], int[]) - Method in class com.irurueta.algebra.Matrix: Method to internally compute matrix transposition.
internalTranspose(Matrix) - Method in class com.irurueta.algebra.Matrix: Method to internally compute matrix transposition.
InvalidCovarianceMatrixException - Exception in com.irurueta.statistics: Exception thrown when providing an invalid covariance matrix.
InvalidCovarianceMatrixException() - Constructor for exception com.irurueta.statistics.InvalidCovarianceMatrixException: Constructor.
InvalidCovarianceMatrixException(String) - Constructor for exception com.irurueta.statistics.InvalidCovarianceMatrixException: Constructor with String containing message.
InvalidCovarianceMatrixException(String, Throwable) - Constructor for exception com.irurueta.statistics.InvalidCovarianceMatrixException: Constructor with message and cause.
InvalidCovarianceMatrixException(Throwable) - Constructor for exception com.irurueta.statistics.InvalidCovarianceMatrixException: Constructor with cause.
invcdf(double) - Method in class com.irurueta.statistics.MultivariateNormalDist: Evaluates the inverse cumulative distribution function of a multivariate Gaussian distribution for current mean and covariance values and provided probability value.
invcdf(double[]) - Method in class com.irurueta.statistics.MultivariateNormalDist: Evaluates the inverse cumulative distribution function of a multivariate Gaussian distribution for current mean and covariance values and provided probability values for each dimension of the multivariate Gaussian distribution.
invcdf(double[], double[]) - Method in class com.irurueta.statistics.MultivariateNormalDist: Evaluates the inverse cumulative distribution function of a multivariate Gaussian distribution for current mean and covariance values and provided probability values for each dimension of the multivariate Gaussian distribution.
invcdf(double[], double[], Matrix) - Method in class com.irurueta.statistics.MultivariateNormalDist: Evaluates the inverse cumulative distribution function of a multivariate Gaussian distribution for current mean and covariance values and provided probability values for each dimension of the multivariate Gaussian distribution.
invcdf(double[], Matrix) - Method in class com.irurueta.statistics.MultivariateNormalDist: Evaluates the inverse cumulative distribution function of a multivariate Gaussian distribution for current mean and covariance values and provided probability values for each dimension of the multivariate Gaussian distribution.
invcdf(double, double[]) - Method in class com.irurueta.statistics.MultivariateNormalDist: Evaluates the inverse cumulative distribution function of a multivariate Gaussian distribution for current mean and covariance values and provided probability value.
invcdf(double, double[], Matrix) - Method in class com.irurueta.statistics.MultivariateNormalDist: Evaluates the inverse cumulative distribution function of a multivariate Gaussian distribution for current mean and covariance values and provided probability value.
invcdf(double, Matrix) - Method in class com.irurueta.statistics.MultivariateNormalDist: Evaluates the inverse cumulative distribution function of a multivariate Gaussian distribution for current mean and covariance values and provided probability value.
inverse(double[]) - Static method in class com.irurueta.algebra.Utils: Computes array pseudo-inverse considering it as a column matrix.
inverse(double[], Matrix) - Static method in class com.irurueta.algebra.Utils: Computes array pseudo-inverse considering it as a column matrix and stores the result in provided result matrix.
inverse(Matrix) - Static method in class com.irurueta.algebra.GaussJordanElimination: Computes inverse of matrix "a".
inverse(Matrix) - Static method in class com.irurueta.algebra.Utils: Computes matrix inverse if provided matrix is squared, or pseudo-inverse otherwise.
inverse(Matrix, Matrix) - Static method in class com.irurueta.algebra.Utils: Computes matrix inverse if provided matrix is squared, or pseudo-inverse otherwise and stores the result in provided result matrix.
isDecompositionAvailable() - Method in class com.irurueta.algebra.CholeskyDecomposer: Returns boolean indicating whether decomposition has been computed and results can be retrieved.
isDecompositionAvailable() - Method in class com.irurueta.algebra.Decomposer: Returns boolean indicating whether decomposition has been computed and results can be retrieved.
isDecompositionAvailable() - Method in class com.irurueta.algebra.EconomyQRDecomposer: Returns boolean indicating whether decomposition has been computed and results can be retrieved.
isDecompositionAvailable() - Method in class com.irurueta.algebra.LUDecomposer: Returns boolean indicating whether decomposition has been computed and results can be retrieved.
isDecompositionAvailable() - Method in class com.irurueta.algebra.QRDecomposer: Returns boolean indicating whether decomposition has been computed and results can be retrieved.
isDecompositionAvailable() - Method in class com.irurueta.algebra.RQDecomposer: Returns boolean indicating whether decomposition has been computed and results can be retrieved.
isDecompositionAvailable() - Method in class com.irurueta.algebra.SingularValueDecomposer: Returns boolean indicating whether decomposition has been computed and results can be retrieved.
isFullRank() - Method in class com.irurueta.algebra.EconomyQRDecomposer: Returns boolean indicating whether provided input matrix has full rank or not.
isFullRank() - Method in class com.irurueta.algebra.QRDecomposer: Returns boolean indicating whether provided input matrix has full rank or not.
isFullRank(double) - Method in class com.irurueta.algebra.EconomyQRDecomposer: Returns boolean indicating whether provided input matrix has full rank or not.
isFullRank(double) - Method in class com.irurueta.algebra.QRDecomposer: Returns boolean indicating whether provided input matrix has full rank or not.
isLocked() - Method in class com.irurueta.algebra.Decomposer: Returns boolean indicating whether this instance is locked or not.
isOrthogonal(Matrix) - Static method in class com.irurueta.algebra.Utils: Checks if the matrix is orthogonal (its transpose is its inverse).
isOrthogonal(Matrix, double) - Static method in class com.irurueta.algebra.Utils: Checks if the matrix is orthogonal (its transpose is its inverse).
isOrthonormal(Matrix) - Static method in class com.irurueta.algebra.Utils: Checks if the matrix is orthonormal up to DEFAULT_ORTHOGONAL_THRESHOLD (it is orthogonal and its Frobenius norm is one)
isOrthonormal(Matrix, double) - Static method in class com.irurueta.algebra.Utils: Checks if the matrix is orthonormal (it is orthogonal and its Frobenius norm is one)
isReady() - Method in class com.irurueta.algebra.Decomposer: Returns boolean indicating whether this instance is ready for decomposition computation.
isReady() - Method in class com.irurueta.statistics.MultivariateNormalDist: Indicates whether this instance is ready for any computation, false otherwise.
isSingular() - Method in class com.irurueta.algebra.LUDecomposer: Return boolean indicating whether provided input matrix is singular or not after computing LU decomposition.
isSingular(double) - Method in class com.irurueta.algebra.LUDecomposer: Return boolean indicating whether provided input matrix is singular or not after computing LU decomposition.
isSPD() - Method in class com.irurueta.algebra.CholeskyDecomposer: Returns boolean indicating whether provided input matrix is Symmetric Positive Definite or not.
isSymmetric(Matrix) - Static method in class com.irurueta.algebra.Utils: Check if the matrix is symmetric.
isSymmetric(Matrix, double) - Static method in class com.irurueta.algebra.Utils: Check if the matrix is symmetric.
isValidCovariance(Matrix) - Static method in class com.irurueta.statistics.MultivariateNormalDist: Indicates whether provided matrix is a valid covariance matrix.

J

jointProbability(double[]) - Static method in class com.irurueta.statistics.MultivariateNormalDist: Computes the joint probability of all probabilities provided in the array.

L

l - Variable in class com.irurueta.statistics.MultivariateGaussianRandomizer: Lower triangular Cholesky decomposition of covariance matrix.
locked - Variable in class com.irurueta.algebra.Decomposer: Member indicating whether this decomposer instance is locked or not.
LockedException - Exception in com.irurueta.algebra
LockedException() - Constructor for exception com.irurueta.algebra.LockedException: Constructor.
LockedException(String) - Constructor for exception com.irurueta.algebra.LockedException: Constructor with String containing message.
LockedException(String, Throwable) - Constructor for exception com.irurueta.algebra.LockedException: Constructor with message and cause.
LockedException(Throwable) - Constructor for exception com.irurueta.algebra.LockedException: Constructor with cause.
LOGGER - Static variable in class com.irurueta.algebra.BuildInfo: This class logger.
lu - Variable in class com.irurueta.algebra.LUDecomposer: Internal matrix containing results of decomposition.
LU_DECOMPOSITION - Enum constant in enum class com.irurueta.algebra.DecomposerType: Defines LU decomposition, which decomposes a matrix into upper (U) and lower (L) triangular matrices.
LUDecomposer - Class in com.irurueta.algebra: This class allows decomposition of matrices using LU decomposition, which consists on retrieving two triangular matrices (lower triangular and upper triangular) as a decomposition of provided input matrix.
LUDecomposer() - Constructor for class com.irurueta.algebra.LUDecomposer: Constructor of this class.
LUDecomposer(Matrix) - Constructor for class com.irurueta.algebra.LUDecomposer: Constructor of this class.

M

mahalanobisDistance(double[]) - Method in class com.irurueta.statistics.MultivariateNormalDist: Computes the Mahalanobis distance of provided multivariate pot x for current mean and covariance values.
Matrix - Class in com.irurueta.algebra: Defines a matrix of numerical data.
Matrix(int, int) - Constructor for class com.irurueta.algebra.Matrix: Constructor of this class.
Matrix(Matrix) - Constructor for class com.irurueta.algebra.Matrix: Copy constructor.
max(double[]) - Static method in class com.irurueta.algebra.ArrayUtils: Finds the maximum value into provided array.
max(double[], int[]) - Static method in class com.irurueta.algebra.ArrayUtils: Finds the maximum value into provided array.
maxIters - Variable in class com.irurueta.algebra.SingularValueDecomposer: Member containing maximum number of iterations to obtain convergence of singular values estimation.
mean - Variable in class com.irurueta.statistics.MultivariateGaussianRandomizer: Contains mean values to be used for random value generation.
min(double[]) - Static method in class com.irurueta.algebra.ArrayUtils: Finds the minimum value into provided array.
min(double[], int[]) - Static method in class com.irurueta.algebra.ArrayUtils: Finds the minimum value into provided array.
MIN_ITERS - Static variable in class com.irurueta.algebra.SingularValueDecomposer: Constant defining minimum number of iterations allowed to obtain convergence on singular value estimation.
MIN_ROUND_ERROR - Static variable in class com.irurueta.algebra.EconomyQRDecomposer: Constant defining minimum allowed round error value when determining full rank of matrices.
MIN_ROUND_ERROR - Static variable in class com.irurueta.algebra.LUDecomposer: Constant defining minimum allowed round error value when determining singularity of matrices.
MIN_ROUND_ERROR - Static variable in class com.irurueta.algebra.QRDecomposer: Constant defining minimum allowed round error value when determining full rank of matrices.
MIN_THRESH - Static variable in class com.irurueta.algebra.SingularValueDecomposer: Constant defining minimum allowed value as threshold to determine whether a singular value is negligible or not.
MIN_THRESHOLD - Static variable in class com.irurueta.algebra.Utils: Constant defining minimum allowed threshold
minMax(double[], double[], int[]) - Static method in class com.irurueta.algebra.ArrayUtils: Finds the minimum and maximum values into provided array and finds their positions.
mu - Variable in class com.irurueta.statistics.MultivariateNormalDist: Mean value of Gaussian distribution.
multiply(Complex) - Method in class com.irurueta.algebra.Complex: Multiplies provided complex with this instance.
multiply(Complex, Complex) - Method in class com.irurueta.algebra.Complex: Multiplies this instance with provided instance and stores the result in provided instance.
multiply(Matrix) - Method in class com.irurueta.algebra.Matrix: Multiplies this matrix with provided matrix.
multiply(Matrix, Matrix) - Method in class com.irurueta.algebra.Matrix: Multiplies another matrix to this matrix instance and stores the result in provided result matrix.
multiplyAndReturnNew(Complex) - Method in class com.irurueta.algebra.Complex: Multiplies provided instance with this instance and returns the result as a new instance.
multiplyAndReturnNew(Matrix) - Method in class com.irurueta.algebra.Matrix: Multiplies this matrix with provided matrix and returns the result as a new instance.
multiplyByScalar(double) - Method in class com.irurueta.algebra.Complex: Multiplies this instance by provided scalar
multiplyByScalar(double) - Method in class com.irurueta.algebra.Matrix: Computes product by scalar of this instance multiplying all its elements by provided scalar value and returning the result as a new instance.
multiplyByScalar(double[], double, double[]) - Static method in class com.irurueta.algebra.ArrayUtils: Multiplies values in provided input array by provided scalar value and stores the result in provided result array.
multiplyByScalar(double, Complex) - Method in class com.irurueta.algebra.Complex: Multiplies this instance by provided scalar value (multiplying both real and imaginary parts by provided value) and stores the result in provided complex instance.
multiplyByScalar(double, Matrix) - Method in class com.irurueta.algebra.Matrix: Computes product by scalar of this instance multiplying all its elements by provided scalar value and storing the results in provided result matrix.
multiplyByScalar(Complex[], double, Complex[]) - Static method in class com.irurueta.algebra.ArrayUtils: Multiplies values in provided input array by provided scalar value and stores the result in provided result array.
multiplyByScalarAndReturnNew(double) - Method in class com.irurueta.algebra.Complex: Multiplies this instance by provided scalar value (multiplying both real and imaginary parts by provided value) and returns the result as a new instance.
multiplyByScalarAndReturnNew(double) - Method in class com.irurueta.algebra.Matrix: Computes product by scalar of this instance multiplying all its elements by provided scalar value and returning the result as a new instance.
multiplyByScalarAndReturnNew(double[], double) - Static method in class com.irurueta.algebra.ArrayUtils: Multiplies values in provided array by provided scalar value and returns the result in a new array.
multiplyByScalarAndReturnNew(Complex[], double) - Static method in class com.irurueta.algebra.ArrayUtils: Multiplies values in provided array by provided scalar value and returns the result in a new array.
multiplyKronecker(Matrix) - Method in class com.irurueta.algebra.Matrix: Computes the Kronecker product of this matrix with provided matrix and updates this matrix with the result of the multiplication.
multiplyKronecker(Matrix, Matrix) - Method in class com.irurueta.algebra.Matrix: Computes the Kronecker product with provided matrix and stores the result in provided result matrix.
multiplyKroneckerAndReturnNew(Matrix) - Method in class com.irurueta.algebra.Matrix: Computes the Kronecker product with provided matrix and returns the result as a new instance.
MultivariateGaussianRandomizer - Class in com.irurueta.statistics: Generates pseudo-random values following a multivariate Gaussian distribution having the specified mean and covariance.
MultivariateGaussianRandomizer() - Constructor for class com.irurueta.statistics.MultivariateGaussianRandomizer: Constructor.
MultivariateGaussianRandomizer(double[], Matrix) - Constructor for class com.irurueta.statistics.MultivariateGaussianRandomizer: Constructor.
MultivariateGaussianRandomizer(Random) - Constructor for class com.irurueta.statistics.MultivariateGaussianRandomizer: Constructor.
MultivariateGaussianRandomizer(Random, double[], Matrix) - Constructor for class com.irurueta.statistics.MultivariateGaussianRandomizer: Constructor.
MultivariateNormalDist - Class in com.irurueta.statistics: Contains methods to work with multivariate normal (i.e.
MultivariateNormalDist() - Constructor for class com.irurueta.statistics.MultivariateNormalDist: Constructor.
MultivariateNormalDist(double[], Matrix) - Constructor for class com.irurueta.statistics.MultivariateNormalDist: Constructor.
MultivariateNormalDist(double[], Matrix, boolean) - Constructor for class com.irurueta.statistics.MultivariateNormalDist: Constructor.
MultivariateNormalDist(int) - Constructor for class com.irurueta.statistics.MultivariateNormalDist: Constructor.
MultivariateNormalDist.JacobianEvaluator - Interface in com.irurueta.statistics: Interface to evaluate a multivariate function at multivariate point x to obtain multivariate result y and its corresponding jacobian at point x.

N

newFromArray(double[]) - Static method in class com.irurueta.algebra.Matrix: Instantiates new matrix from array using DEFAULT_USE_COLUMN_ORDER
newFromArray(double[], boolean) - Static method in class com.irurueta.algebra.Matrix: Instantiates new matrix from array using either column or row order
next() - Method in class com.irurueta.statistics.MultivariateGaussianRandomizer: Generate next set of multivariate Gaussian random values having current mean and covariance of this instance.
next(double[]) - Method in class com.irurueta.statistics.MultivariateGaussianRandomizer: Generate next set of multivariate Gaussian random values having current mean and covariance of this instance.
NoConvergenceException - Exception in com.irurueta.algebra: Exception thrown if some decomposer algorithm cannot converge
NoConvergenceException() - Constructor for exception com.irurueta.algebra.NoConvergenceException: Constructor.
NoConvergenceException(String) - Constructor for exception com.irurueta.algebra.NoConvergenceException: Constructor with String containing message.
NoConvergenceException(String, Throwable) - Constructor for exception com.irurueta.algebra.NoConvergenceException: Constructor with message and cause.
NoConvergenceException(Throwable) - Constructor for exception com.irurueta.algebra.NoConvergenceException: Constructor with cause.
NonSymmetricPositiveDefiniteMatrixException - Exception in com.irurueta.algebra: Exception thrown when requiring symmetric positive definite matrices.
NonSymmetricPositiveDefiniteMatrixException() - Constructor for exception com.irurueta.algebra.NonSymmetricPositiveDefiniteMatrixException: Constructor.
NonSymmetricPositiveDefiniteMatrixException(String) - Constructor for exception com.irurueta.algebra.NonSymmetricPositiveDefiniteMatrixException: Constructor with String containing message.
NonSymmetricPositiveDefiniteMatrixException(String, Throwable) - Constructor for exception com.irurueta.algebra.NonSymmetricPositiveDefiniteMatrixException: Constructor with message and cause.
NonSymmetricPositiveDefiniteMatrixException(Throwable) - Constructor for exception com.irurueta.algebra.NonSymmetricPositiveDefiniteMatrixException: Constructor with cause.
norm(double[]) - Static method in class com.irurueta.algebra.FrobeniusNormComputer: Computes norm of provided array.
norm(double[]) - Static method in class com.irurueta.algebra.InfinityNormComputer: Computes norm of provided array.
norm(double[]) - Static method in class com.irurueta.algebra.OneNormComputer: Computes norm of provided array.
norm(double[], Matrix) - Static method in class com.irurueta.algebra.FrobeniusNormComputer: Computes norm of provided array and stores the jacobian into provided instance.
norm(double[], Matrix) - Static method in class com.irurueta.algebra.InfinityNormComputer: Computes norm of provided array and stores the jacobian into provided instance.
norm(double[], Matrix) - Static method in class com.irurueta.algebra.OneNormComputer: Computes norm of provided array and stores the jacobian into provided instance.
norm(Matrix) - Static method in class com.irurueta.algebra.FrobeniusNormComputer: Computes norm of provided matrix.
norm(Matrix) - Static method in class com.irurueta.algebra.InfinityNormComputer: Computes norm of provided matrix.
norm(Matrix) - Static method in class com.irurueta.algebra.OneNormComputer: Computes norm of provided matrix.
norm1(double[]) - Static method in class com.irurueta.algebra.Utils: Computes one norm of provided input matrix.
norm1(Matrix) - Static method in class com.irurueta.algebra.Utils: Computes one norm of provided input matrix.
norm2(double[]) - Static method in class com.irurueta.algebra.Utils: Computes two norm of provided input array.
norm2(Matrix) - Static method in class com.irurueta.algebra.Utils: Computes two norm of provided input matrix.
normalize(double[]) - Static method in class com.irurueta.algebra.ArrayUtils: Normalizes provided array and updates its values.
normalize(double[], double[]) - Static method in class com.irurueta.algebra.ArrayUtils: Normalizes provided array.
normalize(double[], double[], Matrix) - Static method in class com.irurueta.algebra.ArrayUtils: Normalizes provided array and computes corresponding jacobian.
normalize(double[], Matrix) - Static method in class com.irurueta.algebra.ArrayUtils: Normalizes provided array, updates its values and computes corresponding jacobian.
normalizeAndReturnNew(double[]) - Static method in class com.irurueta.algebra.ArrayUtils: Normalizes provided array.
normalizeAndReturnNew(double[], Matrix) - Static method in class com.irurueta.algebra.ArrayUtils: Normalizes provided array and computes corresponding jacobian.
NormComputer - Class in com.irurueta.algebra: Class in charge of computing norms of arrays and matrices.
NormComputer() - Constructor for class com.irurueta.algebra.NormComputer: Constructor of this class.
normF(double[]) - Static method in class com.irurueta.algebra.Utils: Computes Frobenius norm of provided array.
normF(Matrix) - Static method in class com.irurueta.algebra.Utils: Computes Frobenius norm of provided input matrix.
normInf(double[]) - Static method in class com.irurueta.algebra.Utils: Computes infinity norm of provided input matrix.
normInf(Matrix) - Static method in class com.irurueta.algebra.Utils: Computes infinity norm of provided input matrix.
NormType - Enum Class in com.irurueta.algebra: Enumerator defining all possible ways of computing norms for matrices and arrays.
NormType() - Constructor for enum class com.irurueta.algebra.NormType
NotAvailableException - Exception in com.irurueta.algebra: Exception raised when attempting to retrieve something that is not yet available.
NotAvailableException() - Constructor for exception com.irurueta.algebra.NotAvailableException: Constructor.
NotAvailableException(String) - Constructor for exception com.irurueta.algebra.NotAvailableException: Constructor with String containing message.
NotAvailableException(String, Throwable) - Constructor for exception com.irurueta.algebra.NotAvailableException: Constructor with message and cause.
NotAvailableException(Throwable) - Constructor for exception com.irurueta.algebra.NotAvailableException: Constructor with cause.
NotReadyException - Exception in com.irurueta.algebra: Exception raised when attempting to do an action when something is not ready.
NotReadyException() - Constructor for exception com.irurueta.algebra.NotReadyException: Constructor.
NotReadyException(String) - Constructor for exception com.irurueta.algebra.NotReadyException: Constructor with String containing message.
NotReadyException(String, Throwable) - Constructor for exception com.irurueta.algebra.NotReadyException: Constructor with message and cause.
NotReadyException(Throwable) - Constructor for exception com.irurueta.algebra.NotReadyException: Constructor with cause.

O

ONE_NORM - Enum constant in enum class com.irurueta.algebra.NormType: Defines one norm, which is the maximum column sum on a matrix.
OneNormComputer - Class in com.irurueta.algebra: Class in charge of computing one norms of arrays and matrices.
OneNormComputer() - Constructor for class com.irurueta.algebra.OneNormComputer: Constructor of this class.

P

p(double[]) - Method in class com.irurueta.statistics.MultivariateNormalDist: Evaluates the probability density function (p.d.f.) of a multivariate Gaussian distribution having current mean and covariance at point x.
piv - Variable in class com.irurueta.algebra.LUDecomposer: Internal array containing pivotings after decomposition.
pivSign - Variable in class com.irurueta.algebra.LUDecomposer: Member containing pivot sign after decomposition.
pow(double) - Method in class com.irurueta.algebra.Complex: Computes the power of this instance by provided exponent
pow(double, Complex) - Method in class com.irurueta.algebra.Complex: Computes the power of this instance by provided exponent and stores the result in provided instance.
powAndReturnNew(double) - Method in class com.irurueta.algebra.Complex: Computes the power of this instance by provided exponent and returns the result as a new instance.
process(Matrix, double[]) - Static method in class com.irurueta.algebra.GaussJordanElimination: Computes Gauss-Jordan elimination by attempting to solve linear system of equations a * x = b.
process(Matrix, Matrix) - Static method in class com.irurueta.algebra.GaussJordanElimination: Computes Gauss-Jordan elimination by attempting to solve linear system of equations a * x = b.
processCovariance() - Method in class com.irurueta.statistics.MultivariateNormalDist: Processes current covariance by decomposing it into a basis and its corresponding variances if needed.
propagate(MultivariateNormalDist.JacobianEvaluator, double[], Matrix) - Static method in class com.irurueta.statistics.MultivariateNormalDist: Evaluates the Jacobian and a multivariate function at a certain mean point and computes the non-linear propagation of Gaussian uncertainty through such function at such point.
propagate(MultivariateNormalDist.JacobianEvaluator, double[], Matrix, MultivariateNormalDist) - Static method in class com.irurueta.statistics.MultivariateNormalDist: Evaluates the Jacobian and a multivariate function at a certain mean point and computes the non-linear propagation of Gaussian uncertainty through such function at such point.
propagate(MultivariateNormalDist.JacobianEvaluator, MultivariateNormalDist) - Static method in class com.irurueta.statistics.MultivariateNormalDist: Evaluates the Jacobian and a multivariate function at a certain mean point and computes the non-linear propagation of Gaussian uncertainty through such function at such point.
propagate(MultivariateNormalDist.JacobianEvaluator, MultivariateNormalDist, MultivariateNormalDist) - Static method in class com.irurueta.statistics.MultivariateNormalDist: Evaluates the Jacobian and a multivariate function at a certain mean point and computes the non-linear propagation of Gaussian uncertainty through such function at such point.
propagateThisDistribution(MultivariateNormalDist.JacobianEvaluator) - Method in class com.irurueta.statistics.MultivariateNormalDist: Evaluates the Jacobian and a multivariate function at the mean point of this distribution and computes the non-linear propagation of Gaussian uncertainty through such function at such point.
propagateThisDistribution(MultivariateNormalDist.JacobianEvaluator, MultivariateNormalDist) - Method in class com.irurueta.statistics.MultivariateNormalDist: Evaluates the Jacobian and a multivariate function at the mean point of this distribution and computes the non-linear propagation of Gaussian uncertainty through such function at such point.
pseudoInverse(double[]) - Static method in class com.irurueta.algebra.Utils: Computes Moore-Penrose pseudo-inverse of provided array considering it as a column matrix.
pseudoInverse(Matrix) - Static method in class com.irurueta.algebra.Utils: Computes Moore-Penrose pseudo-inverse of provided matrix.
pythag(double, double) - Method in class com.irurueta.algebra.SingularValueDecomposer: Computes norm of a vector of 2 components 'a' and 'b' as sqrt(pow(a, 2.0) + pow(b, 2.0)) without destructive underflow or overflow, that is when a or b are close to maximum or minimum values allowed by machine precision, computing the previous expression might lead to highly inaccurate results.

Q

q - Variable in class com.irurueta.algebra.QRDecomposer: Internal matrix containing Q factor.
qr - Variable in class com.irurueta.algebra.EconomyQRDecomposer: Internal matrix containing results of decomposition.
QR_DECOMPOSITION - Enum constant in enum class com.irurueta.algebra.DecomposerType: Defines QR decomposition, which decomposes a matrix into an orthogonal matrix (Q) and an upper triangular matrix (R).
QR_ECONOMY_DECOMPOSITION - Enum constant in enum class com.irurueta.algebra.DecomposerType: Defines Economy QR decomposition, which is a faster version of QR decomposition.
QRDecomposer - Class in com.irurueta.algebra: This decomposer computes QR decomposition, which consists on factoring provided input matrix into an orthogonal matrix (Q) and an upper triangular matrix (R).
QRDecomposer() - Constructor for class com.irurueta.algebra.QRDecomposer: Constructor of this class.
QRDecomposer(Matrix) - Constructor for class com.irurueta.algebra.QRDecomposer: Constructor of this class.

R

r - Variable in class com.irurueta.algebra.CholeskyDecomposer: Internal storage of Cholesky decomposition for provided input matrix.
r - Variable in class com.irurueta.algebra.QRDecomposer: Internal matrix containing R factor.
rank(Matrix) - Static method in class com.irurueta.algebra.Utils: Computes rank of provided matrix.
RankDeficientMatrixException - Exception in com.irurueta.algebra: Exception thrown when a matrix does not have full rank.
RankDeficientMatrixException() - Constructor for exception com.irurueta.algebra.RankDeficientMatrixException: Constructor
RankDeficientMatrixException(String) - Constructor for exception com.irurueta.algebra.RankDeficientMatrixException: Constructor with String containing message.
RankDeficientMatrixException(String, Throwable) - Constructor for exception com.irurueta.algebra.RankDeficientMatrixException: Constructor with message and cause.
RankDeficientMatrixException(Throwable) - Constructor for exception com.irurueta.algebra.RankDeficientMatrixException: Constructor with cause.
rDiag - Variable in class com.irurueta.algebra.EconomyQRDecomposer: Internal array containing diagonal of R.
real - Variable in class com.irurueta.algebra.Complex: Real part of the complex number.
reference - Static variable in class com.irurueta.algebra.BuildInfo: Singleton stored in a soft reference (to keep it cached in memory unless memory is claimed).
reorder() - Method in class com.irurueta.algebra.SingularValueDecomposer: Reorders singular values from maximal to minimal, and also reorders columns and rows of U and V to ensure that Singular Value Decomposition still remains valid.
reset(int, int, double) - Method in class com.irurueta.algebra.Matrix: Resets current instance by removing its contents, resizing it to provided size and setting all its elements to provided value.
resize(int, int) - Method in class com.irurueta.algebra.Matrix: Resizes current instance by removing its contents and resizing it to provided size.
reverse(double[]) - Static method in class com.irurueta.algebra.ArrayUtils: Reverses provided array.
reverse(double[], double[]) - Static method in class com.irurueta.algebra.ArrayUtils: Reverses the order of elements in the array.
reverse(Complex[]) - Static method in class com.irurueta.algebra.ArrayUtils: Reverses provided array.
reverse(Complex[], Complex[]) - Static method in class com.irurueta.algebra.ArrayUtils: Reverses the order of elements in the array.
reverseAndReturnNew(double[]) - Static method in class com.irurueta.algebra.ArrayUtils: Returns a new array containing provided array having its elements in reversed order.
reverseAndReturnNew(Complex[]) - Static method in class com.irurueta.algebra.ArrayUtils: Returns a new array containing provided array having its elements in reversed order.
rows - Variable in class com.irurueta.algebra.Matrix: Number of matrix rows.
RQ_DECOMPOSITION - Enum constant in enum class com.irurueta.algebra.DecomposerType: Defines RQ decomposition, which decomposes a matrix into an upper diagonal matrix (R) and an orthogonal matrix (Q).
RQDecomposer - Class in com.irurueta.algebra: This decomposer computes RQ decomposition, which consists on factoring provided input matrix into an upper triangular matrix (R) and an orthogonal matrix (Q).
RQDecomposer() - Constructor for class com.irurueta.algebra.RQDecomposer: Constructor of this class.
RQDecomposer(Matrix) - Constructor for class com.irurueta.algebra.RQDecomposer: Constructor of this class.

S

schurc(Matrix, int, boolean, boolean, Matrix) - Static method in class com.irurueta.algebra.Utils: Computes the Schur complement of a symmetric matrix.
schurc(Matrix, int, boolean, boolean, Matrix, Matrix) - Static method in class com.irurueta.algebra.Utils: Computes the Schur complement of a symmetric matrix.
schurc(Matrix, int, boolean, Matrix) - Static method in class com.irurueta.algebra.Utils: Computes the Schur complement of a symmetric matrix, returning always the full Schur complement.
schurc(Matrix, int, boolean, Matrix, Matrix) - Static method in class com.irurueta.algebra.Utils: Computes the Schur complement of a symmetric matrix, returning always the full Schur complement.
schurc(Matrix, int, Matrix) - Static method in class com.irurueta.algebra.Utils: Computes the Schur complement of the sub-matrix A within a symmetric matrix, returning always the full Schur complement.
schurc(Matrix, int, Matrix, Matrix) - Static method in class com.irurueta.algebra.Utils: Computes the Schur complement of the sub-matrix A within a symmetric matrix, returning always the full Schur complement.
schurcAndReturnNew(Matrix, int) - Static method in class com.irurueta.algebra.Utils: Computes the Schur complement of the sub-matrix A within a symmetric matrix, returning always the full Schur complement.
schurcAndReturnNew(Matrix, int, boolean) - Static method in class com.irurueta.algebra.Utils: Computes the Schur complement of a symmetric matrix, returning always the full Schur complement.
schurcAndReturnNew(Matrix, int, boolean, boolean) - Static method in class com.irurueta.algebra.Utils: Computes the Schur complement of a symmetric matrix.
schurcAndReturnNew(Matrix, int, boolean, boolean, Matrix) - Static method in class com.irurueta.algebra.Utils: Computes the Schur complement of a symmetric matrix.
schurcAndReturnNew(Matrix, int, boolean, Matrix) - Static method in class com.irurueta.algebra.Utils: Computes the Schur complement of a symmetric matrix, returning always the full Schur complement.
schurcAndReturnNew(Matrix, int, Matrix) - Static method in class com.irurueta.algebra.Utils: Computes the Schur complement of the sub-matrix A within a symmetric matrix, returning always the full Schur complement.
setCovariance(Matrix) - Method in class com.irurueta.statistics.MultivariateNormalDist: Sets covariance of this multivariate Gaussian distribution.
setCovariance(Matrix, boolean) - Method in class com.irurueta.statistics.MultivariateNormalDist: Sets covariance of this multivariate Gaussian distribution.
setElementAt(int, int, double) - Method in class com.irurueta.algebra.Matrix: Sets element in matrix located at provided position (row and column).
setElementAtIndex(int, double) - Method in class com.irurueta.algebra.Matrix: Sets element in matrix located at provided index using the order specified by DEFAULT_USE_COLUMN_ORDER.
setElementAtIndex(int, double, boolean) - Method in class com.irurueta.algebra.Matrix: Sets element in matrix located at provided index using provided order (either column or row order).
setImaginary(double) - Method in class com.irurueta.algebra.Complex: Sets imaginary part of complex number.
setInputMatrix(Matrix) - Method in class com.irurueta.algebra.CholeskyDecomposer: Sets reference to input matrix to be decomposed.
setInputMatrix(Matrix) - Method in class com.irurueta.algebra.Decomposer: Sets reference to input matrix to be decomposed.
setInputMatrix(Matrix) - Method in class com.irurueta.algebra.EconomyQRDecomposer: Sets reference to input matrix to be decomposed.
setInputMatrix(Matrix) - Method in class com.irurueta.algebra.LUDecomposer: Sets reference to input matrix to be decomposed.
setInputMatrix(Matrix) - Method in class com.irurueta.algebra.QRDecomposer: Sets reference to input matrix to be decomposed.
setInputMatrix(Matrix) - Method in class com.irurueta.algebra.RQDecomposer: Sets reference to input matrix to be decomposed.
setInputMatrix(Matrix) - Method in class com.irurueta.algebra.SingularValueDecomposer: Sets reference to input matrix to be decomposed.
setMaxIterations(int) - Method in class com.irurueta.algebra.SingularValueDecomposer: SSets maximum number of iterations to be done in order to obtain convergence of singular values when computing input matrix Singular Value Decomposition.
setMean(double[]) - Method in class com.irurueta.statistics.MultivariateNormalDist: Sets mean of this multivariate Gaussian distribution.
setMeanAndCovariance(double[], Matrix) - Method in class com.irurueta.statistics.MultivariateGaussianRandomizer: Sets mean and covariance to generate multivariate Gaussian random values.
setMeanAndCovariance(double[], Matrix) - Method in class com.irurueta.statistics.MultivariateNormalDist: Sets mean and covariance of this multivariate Gaussian distribution.
setMeanAndCovariance(double[], Matrix, boolean) - Method in class com.irurueta.statistics.MultivariateNormalDist: Sets mean and covariance of this multivariate Gaussian distribution.
setModulusAndPhase(double, double) - Method in class com.irurueta.algebra.Complex: Sets both modulus and phase of this complex number.
setNegligibleSingularValueThreshold(double) - Method in class com.irurueta.algebra.SingularValueDecomposer: Sets threshold to be used to determine whether a singular value is negligible or not.
setReal(double) - Method in class com.irurueta.algebra.Complex: Sets real part of complex number.
setRealAndImaginary(double, double) - Method in class com.irurueta.algebra.Complex: Sets both real and imaginary parts of this complex number.
setSubmatrix(int, int, int, int, double) - Method in class com.irurueta.algebra.Matrix: Sets elements in provided region to provided value.
setSubmatrix(int, int, int, int, double[]) - Method in class com.irurueta.algebra.Matrix: Copies elements from provided array into this matrix at provided location.
setSubmatrix(int, int, int, int, double[], boolean) - Method in class com.irurueta.algebra.Matrix: Copies elements from provided array into this matrix at provided location.
setSubmatrix(int, int, int, int, double[], int, int) - Method in class com.irurueta.algebra.Matrix: Copies elements from provided array into this matrix at provided location.
setSubmatrix(int, int, int, int, double[], int, int, boolean) - Method in class com.irurueta.algebra.Matrix: Copies elements from provided array into this matrix at provided location.
setSubmatrix(int, int, int, int, Matrix) - Method in class com.irurueta.algebra.Matrix: Copies elements from provided sub-matrix into this matrix at provided location.
setSubmatrix(int, int, int, int, Matrix, int, int, int, int) - Method in class com.irurueta.algebra.Matrix: Copies elements from provided sub-matrix into this matrix at provided location
sign(double, double) - Method in class com.irurueta.algebra.SingularValueDecomposer: Returns a or -a depending on b sign.
sing - Variable in class com.irurueta.algebra.QRDecomposer: Boolean indicating whether decomposed matrix is singular.
SINGULAR_VALUE_DECOMPOSITION - Enum constant in enum class com.irurueta.algebra.DecomposerType: Defines Singular Value Decomposition, which decomposes any rectangular matrix into 2 unary matrices (U, V) and 1 diagonal matrix containing singular values (D).
SingularMatrixException - Exception in com.irurueta.algebra: Exception thrown when a singular matrix is used.
SingularMatrixException() - Constructor for exception com.irurueta.algebra.SingularMatrixException: Constructor.
SingularMatrixException(String) - Constructor for exception com.irurueta.algebra.SingularMatrixException: Constructor with String containing message.
SingularMatrixException(String, Throwable) - Constructor for exception com.irurueta.algebra.SingularMatrixException: Constructor with message and cause.
SingularMatrixException(Throwable) - Constructor for exception com.irurueta.algebra.SingularMatrixException: Constructor with cause.
SingularValueDecomposer - Class in com.irurueta.algebra: Computes Singular Value matrix decomposition, which consists on factoring provided input matrix into three factors consisting of 2 unary matrices and 1 diagonal matrix containing singular values, following next expression: A = U * S * V'.
SingularValueDecomposer() - Constructor for class com.irurueta.algebra.SingularValueDecomposer: Constructor of this class.
SingularValueDecomposer(int) - Constructor for class com.irurueta.algebra.SingularValueDecomposer: Constructor of this class.
SingularValueDecomposer(Matrix) - Constructor for class com.irurueta.algebra.SingularValueDecomposer: Constructor of this class.
SingularValueDecomposer(Matrix, int) - Constructor for class com.irurueta.algebra.SingularValueDecomposer: Constructor of this class.
skewMatrix(double[]) - Static method in class com.irurueta.algebra.Utils: Computes the skew-symmetric matrix of provided vector of length 3.
skewMatrix(double[], Matrix) - Static method in class com.irurueta.algebra.Utils: Computes the skew-symmetric matrix of provided vector of length 3 and stores the result in provided matrix.
skewMatrix(double[], Matrix, Matrix) - Static method in class com.irurueta.algebra.Utils: Computes the skew-symmetric matrix of provided vector of length 3 and stores the result in provided matrix.
skewMatrix(Matrix) - Static method in class com.irurueta.algebra.Utils: Computes the skew-symmetric matrix of provided matrix of size 3x1 or 13.
skewMatrix(Matrix, Matrix) - Static method in class com.irurueta.algebra.Utils: Computes the skew-symmetric matrix of provided matrix of size 3x1 or 13.
skewMatrix(Matrix, Matrix, Matrix) - Static method in class com.irurueta.algebra.Utils: Computes the skew-symmetric matrix of provided matrix of size 3x1 or 13.
solve(double[]) - Method in class com.irurueta.algebra.SingularValueDecomposer: Solves a linear system of equations of the following form: A * X = B using the pseudo-inverse to find the least squares solution.
solve(double[], double) - Method in class com.irurueta.algebra.SingularValueDecomposer: Solves a linear system of equations of the following form: A * X = B using the pseudo-inverse to find the least squares solution.
solve(double[], double[]) - Method in class com.irurueta.algebra.SingularValueDecomposer: Solves a linear system of equations of the following form: A * X = B using the pseudo-inverse to find the least squares solution.
solve(double[], double, double[]) - Method in class com.irurueta.algebra.SingularValueDecomposer: Solves a linear system of equations of the following form: A * X = B using the pseudo-inverse to find the least squares solution.
solve(Matrix) - Method in class com.irurueta.algebra.CholeskyDecomposer: Solves a linear system of equations of the following form: A * X = B.
solve(Matrix) - Method in class com.irurueta.algebra.EconomyQRDecomposer: Solves a linear system of equations of the following form: A * X = B, where A is the input matrix provided for QR decomposition, X is the solution to the system of equations, and B is the parameters vector/matrix.
solve(Matrix) - Method in class com.irurueta.algebra.LUDecomposer: Solves a linear system of equations of the following form: A * X = B.
solve(Matrix) - Method in class com.irurueta.algebra.QRDecomposer: Solves a linear system of equations of the following form: A * X = B.
solve(Matrix) - Method in class com.irurueta.algebra.SingularValueDecomposer: Solves a linear system of equations of the following form: A * X = B using the pseudo-inverse to find the least squares solution.
solve(Matrix, double) - Method in class com.irurueta.algebra.EconomyQRDecomposer: Solves a linear system of equations of the following form: A * X = B, where A is the input matrix provided for QR decomposition, X is the solution to the system of equations, and B is the parameters vector/matrix.
solve(Matrix, double) - Method in class com.irurueta.algebra.LUDecomposer: Solves a linear system of equations of the following form: A * X = B.
solve(Matrix, double) - Method in class com.irurueta.algebra.QRDecomposer: Solves a linear system of equations of the following form: A * X = B.
solve(Matrix, double) - Method in class com.irurueta.algebra.SingularValueDecomposer: Solves a linear system of equations of the following form: A * X = B using the pseudo-inverse to find the least squares solution.
solve(Matrix, double[]) - Static method in class com.irurueta.algebra.Utils: Solves a linear system of equations of the form: m * x = b.
solve(Matrix, double[], double[]) - Static method in class com.irurueta.algebra.Utils: Solves a linear system of equations of the form m * x = b, where b is assumed to be the parameters column vector, x is the returned matrix containing the solution and m is the matrix of the linear system of equations.
solve(Matrix, double, Matrix) - Method in class com.irurueta.algebra.EconomyQRDecomposer: Solves a linear system of equations of the following form: A * X = B, where A is the input matrix provided for QR decomposition, X is the solution to the system of equations, and B is the parameters vector/matrix.
solve(Matrix, double, Matrix) - Method in class com.irurueta.algebra.LUDecomposer: Solves a linear system of equations of the following form: A * X = B.
solve(Matrix, double, Matrix) - Method in class com.irurueta.algebra.QRDecomposer: Solves a linear system of equations of the following form: A * X = B.
solve(Matrix, double, Matrix) - Method in class com.irurueta.algebra.SingularValueDecomposer: Solves a linear system of equations of the following form: A * X = B using the pseudo-inverse to find the least squares solution.
solve(Matrix, Matrix) - Method in class com.irurueta.algebra.CholeskyDecomposer: Solves a linear system of equations of the following form: A * X = B.
solve(Matrix, Matrix) - Method in class com.irurueta.algebra.EconomyQRDecomposer: Solves a linear system of equations of the following form: A * X = B, where A is the input matrix provided for QR decomposition, X is the solution to the system of equations, and B is the parameters vector/matrix.
solve(Matrix, Matrix) - Method in class com.irurueta.algebra.LUDecomposer: Solves a linear system of equations of the following form: A * X = B.
solve(Matrix, Matrix) - Method in class com.irurueta.algebra.QRDecomposer: Solves a linear system of equations of the following form: A * X = B.
solve(Matrix, Matrix) - Method in class com.irurueta.algebra.SingularValueDecomposer: Solves a linear system of equations of the following form: A * X = B using the pseudo-inverse to find the least squares solution.
solve(Matrix, Matrix) - Static method in class com.irurueta.algebra.Utils: Solves a linear system of equations of the form: m * x = b.
solve(Matrix, Matrix, Matrix) - Static method in class com.irurueta.algebra.Utils: Solves a linear system of equations of the form: m * x = b.
spd - Variable in class com.irurueta.algebra.CholeskyDecomposer: Boolean indicating whether provided input matrix is symmetric and positive definite.
sqrt() - Method in class com.irurueta.algebra.Complex: Computes the squared root of this instance
sqrt(double[]) - Static method in class com.irurueta.algebra.ArrayUtils: Updates provided array by setting on each element its squared root.
sqrt(double[], double[]) - Static method in class com.irurueta.algebra.ArrayUtils: Computes the squared root of each element of provided array and sets the result into provided result array.
sqrt(Complex) - Method in class com.irurueta.algebra.Complex: Computes the squared root of this instance and returns the result as a new instance.
sqrtAndReturnNew() - Method in class com.irurueta.algebra.Complex: Computes the squared root of this instance and returns the result as a new instance.
sqrtAndReturnNew(double[]) - Static method in class com.irurueta.algebra.ArrayUtils: Computes the squared root of each element of provided array and returns the result as a new array.
squaredMahalanobisDistance(double[]) - Method in class com.irurueta.statistics.MultivariateNormalDist: Computes the squared Mahalanobis distance of provided multivariate pot x for current mean and covariance values.
subtract(double[], double[], double[]) - Static method in class com.irurueta.algebra.ArrayUtils: Subtracts provided operands arrays and stores the result in provided result array (i.e. result = firstOperand - secondOperand).
subtract(Complex) - Method in class com.irurueta.algebra.Complex: Subtracts provided complex from this instance.
subtract(Complex[], Complex[], Complex[]) - Static method in class com.irurueta.algebra.ArrayUtils: Subtracts provided operands arrays and stores the result in provided result array (i.e. result = firstOperand - secondOperand).
subtract(Complex, Complex) - Method in class com.irurueta.algebra.Complex: Subtracts provided instance from this instance and stores the result in provided instance.
subtract(Matrix) - Method in class com.irurueta.algebra.Matrix: Subtracts provided matrix from this instance.
subtract(Matrix, Matrix) - Method in class com.irurueta.algebra.Matrix: Subtracts another matrix from this matrix instance and stores the result in provided result matrix.
subtractAndReturnNew(double[], double[]) - Static method in class com.irurueta.algebra.ArrayUtils: Subtracts provided operands and returns the result as a new array instance.
subtractAndReturnNew(Complex) - Method in class com.irurueta.algebra.Complex: Subtracts provided instance from this instance and returns the result as a new instance
subtractAndReturnNew(Complex[], Complex[]) - Static method in class com.irurueta.algebra.ArrayUtils: Subtracts provided operands and returns the result as a new array instance.
subtractAndReturnNew(Matrix) - Method in class com.irurueta.algebra.Matrix: Subtracts provided matrix from this instance and returns the result as a new matrix instance.
sum(double[], double[], double[]) - Static method in class com.irurueta.algebra.ArrayUtils: Sums provided operands arrays and stores the result in provided result array (i.e. result = firstOperand + secondOperand).
sum(Complex[], Complex[], Complex[]) - Static method in class com.irurueta.algebra.ArrayUtils: Sums provided operands arrays and stores the result in provided result array (i.e. result = firstOperand + secondOperand).
sumAndReturnNew(double[], double[]) - Static method in class com.irurueta.algebra.ArrayUtils: Sums provided operands and returns the result as a new array instance.
sumAndReturnNew(Complex[], Complex[]) - Static method in class com.irurueta.algebra.ArrayUtils: Sums provided operands and returns the result as a new array instance.
swap(double[], double[], int, int) - Static method in class com.irurueta.algebra.GaussJordanElimination: Swaps values in arrays at provided positions
symmetrize() - Method in class com.irurueta.algebra.Matrix: Symmetrizes this instance and updates it with computed value.
symmetrize(Matrix) - Method in class com.irurueta.algebra.Matrix: Symmetrizes this instance and stores the result into provided instance.
symmetrizeAndReturnNew() - Method in class com.irurueta.algebra.Matrix: Symmetrizes this instance and returns the result as a new matrix instance.

T

TIMESTAMP_FORMAT - Static variable in class com.irurueta.algebra.BuildInfo: Format for build timestamp.
toArray() - Method in class com.irurueta.algebra.Matrix: Returns the contents of the matrix as an array of values using DEFAULT_USE_COLUMN_ORDER to pick elements.
toArray(boolean) - Method in class com.irurueta.algebra.Matrix: Returns the contents of the matrix as an array of values using provided order to pick elements.
toArray(double[]) - Method in class com.irurueta.algebra.Matrix: Copies the contents of the matrix to an array of values using column order.
toArray(double[], boolean) - Method in class com.irurueta.algebra.Matrix: Copies the contents of the matrix to an array of values using provided order to pick elements.
trace(Matrix) - Static method in class com.irurueta.algebra.Utils: Computes trace of provided matrix.
transpose() - Method in class com.irurueta.algebra.Matrix: Transposes current matrix.
transpose(Matrix) - Method in class com.irurueta.algebra.Matrix: Transposes current matrix and stores result in provided matrix.
transposeAndReturnNew() - Method in class com.irurueta.algebra.Matrix: Transposes current matrix and returns result as a new instance.
tsh - Variable in class com.irurueta.algebra.SingularValueDecomposer: Contains threshold used to determine whether a singular value can be neglected or not due to numerical precision errors.

U

u - Variable in class com.irurueta.algebra.SingularValueDecomposer: Internal storage of U.
Utils - Class in com.irurueta.algebra: This class contains a series of helper statistics methods that can be used to perform most typical operations in matrix algebra.
Utils() - Constructor for class com.irurueta.algebra.Utils: Constructor.

V

v - Variable in class com.irurueta.algebra.SingularValueDecomposer: Internal storage of V.
valueOf(String) - Static method in enum class com.irurueta.algebra.DecomposerType: Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class com.irurueta.algebra.NormType: Returns the enum constant of this class with the specified name.
values() - Static method in enum class com.irurueta.algebra.DecomposerType: Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class com.irurueta.algebra.NormType: Returns an array containing the constants of this enum class, in the order they are declared.
variances - Variable in class com.irurueta.statistics.MultivariateNormalDist: Variances on each direction of the basis.
version - Variable in class com.irurueta.algebra.BuildInfo: Version of this library.
VERSION_KEY - Static variable in class com.irurueta.algebra.BuildInfo: Key to obtain version of this library from properties file.

W

w - Variable in class com.irurueta.algebra.SingularValueDecomposer: Internal storage of singular values.
WrongSizeException - Exception in com.irurueta.algebra: Exception thrown when using matrices having wrong size.
WrongSizeException() - Constructor for exception com.irurueta.algebra.WrongSizeException: Constructor.
WrongSizeException(String) - Constructor for exception com.irurueta.algebra.WrongSizeException: Constructor with String containing message.
WrongSizeException(String, Throwable) - Constructor for exception com.irurueta.algebra.WrongSizeException: Constructor with message and cause.
WrongSizeException(Throwable) - Constructor for exception com.irurueta.algebra.WrongSizeException: Constructor with cause.

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