Package com.irurueta.numerical.fitting
package com.irurueta.numerical.fitting
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ClassDescriptionBase class for function fitters used to estimate function parameters along with their covariance matrix and chi square valueRaised when a fitter fails to fit a function to provided data.Fits provided data (x, y) to a generic non-linear function using Levenberg-Marquardt iterative algorithm.Interface to evaluate non-linear multidimensional functions.Fits provided data (x, y) to a generic non-linear function using Levenberg-Marquardt iterative algorithm.Interface to evaluate non-linear multi variate and multidimensional functions.Fits provided data (x,y) to a generic non-linear function using Levenberg-Marquardt iterative algorithm.Interface to evaluate non-linear single dimensional functions.Interface to evaluate linear multidimensional functions f(x1, x2, ...) = a * f0(x1, x2, ...) + b * f1(x1, x2, ...) + ...Interface to evaluate linear single dimensional functions f(x) = a * f0(x) + b * f1(x) + ...Base class to fit a multi dimension function y = f(x1, x2, ...) by using provided data (x, y)Base class to fit provided multidimensional data (x1, x2, ..., y1, y2, ...) to a function made of a linear combination of functions used as a basis (i.e.Base class to fit a multi variate function [y1, y2, ...] = f([x1, x2, ...]) by using provided data (x, y).Fits provided data (x,y) to a function made of a linear combination of functions used as a basis (i.e.Base class to fit a single dimension function y = f(x) by using provided data (x, y)Base class to fit provided data (x,y) to a function made of a linear combination of functions used as a basis (i.e.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.Fits provided data (x,y) to a function made of a linear combination of functions used as a basis (i.e.Fits provided data (x,y) to a function made of a linear combination of functions used as a basis (i.e.