datan

Class LsqLin

java.lang.Object

datan.LsqLin

public final class LsqLin
extends java.lang.Object

A class porforming the least-squares fit of a linear function to a set of data.

Author:

Siegmund Brandt.

Constructor Summary

Constructors

Constructor and Description
LsqLin(DatanVector t, DatanVector c, DatanVector deltay, DatanMatrix a)

Method Summary

Methods

Modifier and Type	Method and Description
double	getChiSquare()
DatanMatrix	getCovarianceMatrix()
DatanVector	getResult()
boolean	hasConverged()

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

LsqLin

public LsqLin(DatanVector t,
      DatanVector c,
      DatanVector deltay,
      DatanMatrix a)

Parameters:

t - vector, the elements of which are the controlled variables t_i

c - vector, the elements c_i = y_i + a0_i of which are the s=ums of the measurements y_i and the constant terms a0_i.

a - matrix of coefficients.

deltay - vector of measurement errors.

Method Detail

getResult

public DatanVector getResult()

Returns:

the vector of fitted unknowns.

getCovarianceMatrix

public DatanMatrix getCovarianceMatrix()

Returns:

the covariance matrix of the polynomial coefficients.

getChiSquare

public double getChiSquare()

Returns:

the value of the minimum function.

hasConverged

public boolean hasConverged()

Returns:

true if iteration successful, false otherwise.