Uses of Class
com.irurueta.numerical.fitting.Fitter

Packages that use Fitter

Package	Description
com.irurueta.numerical.fitting

Uses of Fitter in com.irurueta.numerical.fitting

Subclasses of Fitter in com.irurueta.numerical.fitting

Modifier and Type	Class	Description
class	LevenbergMarquardtMultiDimensionFitter	Fits provided data (x, y) to a generic non-linear function using Levenberg-Marquardt iterative algorithm.
class	LevenbergMarquardtMultiVariateFitter	Fits provided data (x, y) to a generic non-linear function using Levenberg-Marquardt iterative algorithm.
class	LevenbergMarquardtSingleDimensionFitter	Fits provided data (x,y) to a generic non-linear function using Levenberg-Marquardt iterative algorithm.
class	MultiDimensionFitter	Base class to fit a multi dimension function y = f(x1, x2, ...) by using provided data (x, y)
class	MultiDimensionLinearFitter	Base class to fit provided multidimensional data (x1, x2, ..., y1, y2, ...)
class	MultiVariateFitter	Base class to fit a multi variate function [y1, y2, ...] = f([x1, x2, ...])
class	SimpleSingleDimensionLinearFitter	Fits provided data (x,y) to a function made of a linear combination of functions used as a basis (i.e. f(x) = a * f0(x) + b * f1(x) + ...).
class	SingleDimensionFitter	Base class to fit a single dimension function y = f(x) by using provided data (x, y)
class	SingleDimensionLinearFitter	Base class to fit provided data (x,y) to a function made of a linear combination of functions used as a basis (i.e. f(x) = a * f0(x) + b * f1(x) + ...).
class	StraightLineFitter	Fits provided data (x,y) to a straight line following equation y = a + b*x, estimates parameters a and b their variances, covariance and their chi square value.
class	SvdMultiDimensionLinearFitter	Fits provided data (x,y) to a function made of a linear combination of functions used as a basis (i.e. f(x1, x2, ...) = a * f0(x1, x2, ...) + b * f1(x1, x2, ...) + ...).
class	SvdSingleDimensionLinearFitter	Fits provided data (x,y) to a function made of a linear combination of functions used as a basis (i.e. f(x) = a * f0(x) + b * f1(x) + ...).