C E F G I L M N O P R S U

C

calculateDerivative(int, double[]) - Method in class org.orangepalantir.leastsquares.fitters.LinearFitter

Given a set of parameters, and inputs, calculates the derivative of the k'th parameter d/d a_k (F) The function is linear in parameters eg: f(x) = params[0]* f0(x) + params[1]*f1(x) + ...

calculateDerivative(int, double[], double[]) - Method in class org.orangepalantir.leastsquares.fitters.MarquardtFitter

Given a set of parameters, and inputs, calculates the derivative of the k'th parameter d/d a_k (F)

calculateDerivatives() - Method in class org.orangepalantir.leastsquares.fitters.LinearFitter

Creates an array of derivatives since each one is used 3x's

calculateDerivatives() - Method in class org.orangepalantir.leastsquares.fitters.MarquardtFitter

Creates an array of derivatives since each one is used 3x's

calculateDerivatives() - Method in class org.orangepalantir.leastsquares.fitters.NonLinearSolver

calculateErrors() - Method in interface org.orangepalantir.leastsquares.Fitter

calculateErrors() - Method in class org.orangepalantir.leastsquares.fitters.LinearFitter

returns the cumulative error for current values

calculateErrors() - Method in class org.orangepalantir.leastsquares.fitters.MarquardtFitter

returns the cumulative error for current values

calculateErrors() - Method in class org.orangepalantir.leastsquares.fitters.NonLinearSolver

returns the cumulative error for current values

calculateSecondDerivative(int, int, double[], double[]) - Method in class org.orangepalantir.leastsquares.fitters.MarquardtFitter

NOT USED.

createAlphaMatrix() - Method in class org.orangepalantir.leastsquares.fitters.LinearFitter

createAlphaPrimeMatrix() - Method in class org.orangepalantir.leastsquares.fitters.MarquardtFitter

createBetaMatrix() - Method in class org.orangepalantir.leastsquares.fitters.LinearFitter

createBetaMatrix() - Method in class org.orangepalantir.leastsquares.fitters.MarquardtFitter

E

evaluate(double[], double[]) - Method in interface org.orangepalantir.leastsquares.Function

Returns the functions evaluated at the specific parameter set

evaluate(double[], double[]) - Method in class org.orangepalantir.leastsquares.functions.ExponentialFunction

evaluate(double[], double[]) - Method in class org.orangepalantir.leastsquares.functions.LinearFunction

evaluatePolynomial(double[], double) - Static method in class org.orangepalantir.filters.SavitzyGolayFilter

Evaluates a polynomial where: p(x) = poly[0] * x**m + poly[1] * x**(m-1) + ...

evaluatePolynomial(double[], double, int) - Static method in class org.orangepalantir.filters.SavitzyGolayFilter

Evaluates derivative of polynomial where with: p(x) = poly[0] * x**m + poly[1] * x**(m-1) + ...

ExponentialFunction - Class in org.orangepalantir.leastsquares.functions

Created by msmith on 2/26/14.

ExponentialFunction() - Constructor for class org.orangepalantir.leastsquares.functions.ExponentialFunction

F

filter(float[], double[], int, int) - Method in class org.orangepalantir.filters.SavitzyGolayFilter

Calculates one point in the data, similar to one step of a convolution.

filter(double[], double[], int, int) - Method in class org.orangepalantir.filters.SavitzyGolayFilter

Calculates one point in the data, similar to one step of a convolution.

filterData(double[]) - Method in class org.orangepalantir.filters.SavitzyGolayFilter

filters the data by assuming the ends are reflected.

filterData(float[]) - Method in class org.orangepalantir.filters.SavitzyGolayFilter

filters the data by assuming the ends are reflected.

fitData() - Method in interface org.orangepalantir.leastsquares.Fitter

fitData() - Method in class org.orangepalantir.leastsquares.fitters.LinearFitter

Main routine, call this and the Parameters are iterated one time because the equations are assumed to be linear in parameter space.

fitData() - Method in class org.orangepalantir.leastsquares.fitters.MarquardtFitter

Main routine, call this and the Parameters are iterated until it is finished.

fitData() - Method in class org.orangepalantir.leastsquares.fitters.NonLinearSolver

Main routine, call this and the Parameters are iterated until it is finished.

Fitter - Interface in org.orangepalantir.leastsquares

Function - Interface in org.orangepalantir.leastsquares

G

getCovarianceMatrix() - Method in class org.orangepalantir.leastsquares.fitters.LinearFitter

getKernel(int, int) - Static method in class org.orangepalantir.filters.SavitzyGolayFilter

Creates a 2-d Kernel for using a savitzky-golay filter in 2-d.

getNInputs() - Method in interface org.orangepalantir.leastsquares.Function

getNInputs() - Method in class org.orangepalantir.leastsquares.functions.ExponentialFunction

getNInputs() - Method in class org.orangepalantir.leastsquares.functions.LinearFunction

getNParameters() - Method in interface org.orangepalantir.leastsquares.Function

getNParameters() - Method in class org.orangepalantir.leastsquares.functions.ExponentialFunction

getNParameters() - Method in class org.orangepalantir.leastsquares.functions.LinearFunction

getParameters() - Method in interface org.orangepalantir.leastsquares.Fitter

getParameters() - Method in class org.orangepalantir.leastsquares.fitters.LinearFitter

Gets the current set of parameters values.

getParameters() - Method in class org.orangepalantir.leastsquares.fitters.MarquardtFitter

Gets the current set of parameters values.

getParameters() - Method in class org.orangepalantir.leastsquares.fitters.NonLinearSolver

Gets the current set of parameters values.

getUncertainty() - Method in interface org.orangepalantir.leastsquares.Fitter

getUncertainty() - Method in class org.orangepalantir.leastsquares.fitters.LinearFitter

Get an uncertainty value, similar to the way gnuplot does it.

getUncertainty() - Method in class org.orangepalantir.leastsquares.fitters.MarquardtFitter

getUncertainty() - Method in class org.orangepalantir.leastsquares.fitters.NonLinearSolver

I

initializeWorkspace() - Method in class org.orangepalantir.leastsquares.fitters.LinearFitter

initializeWorkspace() - Method in class org.orangepalantir.leastsquares.fitters.MarquardtFitter

initializeWorkspace() - Method in class org.orangepalantir.leastsquares.fitters.NonLinearSolver

iterateValues() - Method in class org.orangepalantir.leastsquares.fitters.LinearFitter

Takes the current error, and the current parameter set and calculates the changes, then returns the maximum changed value

iterateValues() - Method in class org.orangepalantir.leastsquares.fitters.MarquardtFitter

Takes the current error, and the current parameter set and calculates the changes, then returns the maximum changed value

iterateValues() - Method in class org.orangepalantir.leastsquares.fitters.NonLinearSolver

Takes the current error, and the current parameter set and calculates the changes, then returns the maximum changed value

iterateValuesB() - Method in class org.orangepalantir.leastsquares.fitters.NonLinearSolver

ITERATIONS - Variable in class org.orangepalantir.leastsquares.fitters.MarquardtFitter

L

LinearFitter - Class in org.orangepalantir.leastsquares.fitters

for solving linear least squares fit of f(x:A) = z with sets of x,z data points.

LinearFitter(Function) - Constructor for class org.orangepalantir.leastsquares.fitters.LinearFitter

LinearFunction - Class in org.orangepalantir.leastsquares.functions

Generic linear function, with an offset.

LinearFunction(int) - Constructor for class org.orangepalantir.leastsquares.functions.LinearFunction

M

main(String[]) - Static method in class org.orangepalantir.leastsquares.examples.ParabolaExample

MarquardtFitter - Class in org.orangepalantir.leastsquares.fitters

MarquardtFitter(Function) - Constructor for class org.orangepalantir.leastsquares.fitters.MarquardtFitter

N

NonLinearSolver - Class in org.orangepalantir.leastsquares.fitters

NonLinearSolver(Function) - Constructor for class org.orangepalantir.leastsquares.fitters.NonLinearSolver

O

org.orangepalantir.filters - package org.orangepalantir.filters

org.orangepalantir.leastsquares - package org.orangepalantir.leastsquares

org.orangepalantir.leastsquares.examples - package org.orangepalantir.leastsquares.examples

org.orangepalantir.leastsquares.fitters - package org.orangepalantir.leastsquares.fitters

org.orangepalantir.leastsquares.functions - package org.orangepalantir.leastsquares.functions

P

ParabolaExample - Class in org.orangepalantir.leastsquares.examples

Created by msmith on 3/7/16.

ParabolaExample() - Constructor for class org.orangepalantir.leastsquares.examples.ParabolaExample

pfact(int, int) - Static method in class org.orangepalantir.filters.SavitzyGolayFilter

Partial factorial,

printMatrix() - Method in class org.orangepalantir.leastsquares.fitters.LinearFitter

printMatrix() - Method in class org.orangepalantir.leastsquares.fitters.MarquardtFitter

for stack traces

R

rFilter(double[], double[], int, int) - Method in class org.orangepalantir.filters.SavitzyGolayFilter

Calculates one point in the data, similar to one step of a convolution.

rFilter(float[], double[], int, int) - Method in class org.orangepalantir.filters.SavitzyGolayFilter

Calculates one point in the data, similar to one step of a convolution.

S

SavitzkyGolayCoefficients(int, int, int) - Static method in class org.orangepalantir.filters.SavitzyGolayFilter

Creates the array of coefficients for using a least squares polynomial fit of the data.

SavitzkyGolayCoefficients(int, int, int, int) - Static method in class org.orangepalantir.filters.SavitzyGolayFilter

Creates the array of coefficients for using a least squares polynomial fit of the data.

SavitzyGolayFilter - Class in org.orangepalantir.filters

Class implements the Savitzy-Golay filter.

SavitzyGolayFilter(int, int, int) - Constructor for class org.orangepalantir.filters.SavitzyGolayFilter

Prepares the filter coefficients

SavitzyGolayFilter(int, int, int, int) - Constructor for class org.orangepalantir.filters.SavitzyGolayFilter

Prepares the filter coefficients

setData(double[][], double[]) - Method in interface org.orangepalantir.leastsquares.Fitter

setData(double[][], double[]) - Method in class org.orangepalantir.leastsquares.fitters.LinearFitter

Sets the values of of the original data points that are going to be fit.

setData(double[][], double[]) - Method in class org.orangepalantir.leastsquares.fitters.MarquardtFitter

Sets the values of of the original data points that are going to be fit.

setData(double[][], double[]) - Method in class org.orangepalantir.leastsquares.fitters.NonLinearSolver

Sets the values of of the original data points that are going to be fit.

setMinChange(double) - Method in class org.orangepalantir.leastsquares.fitters.NonLinearSolver

When the parameters change less than the change parameter the program will stop iterating

setMinError(double) - Method in class org.orangepalantir.leastsquares.fitters.NonLinearSolver

setParameters(double[]) - Method in interface org.orangepalantir.leastsquares.Fitter

setParameters(double[]) - Method in class org.orangepalantir.leastsquares.fitters.LinearFitter

setParameters(double[]) - Method in class org.orangepalantir.leastsquares.fitters.MarquardtFitter

setParameters(double[]) - Method in class org.orangepalantir.leastsquares.fitters.NonLinearSolver

setStepSize(double) - Method in class org.orangepalantir.leastsquares.fitters.NonLinearSolver

U

updateLambda(double) - Method in class org.orangepalantir.leastsquares.fitters.MarquardtFitter

C E F G I L M N O P R S U