datan

Class MinCov

java.lang.Object

datan.MinCov

public final class MinCov
extends java.lang.Object

A class determining the covariance matrix / confidence matrix for a set of parameters determined by minimization.

Author:

Siegmund Brandt.

Constructor Summary

Constructors

Constructor and Description
MinCov(DatanVector x0, DatanUserFunction muf)
MinCov(DatanVector x0, int[] list, DatanUserFunction muf)

Method Summary

Methods

Modifier and Type	Method and Description
DatanMatrix	getCovarianceMatrix(double fact)

Methods inherited from class java.lang.Object

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

Constructor Detail

MinCov

public MinCov(DatanVector x0,
      int[] list,
      DatanUserFunction muf)

Parameters:

x0 - position of minimum.

list - array containing the elements of a list specifying which of the n variables are fixed (list element = 0) and which are adjustable (list element = 1).

muf - user function which must be an extension of the abstract class DatanUserFunction.

MinCov

public MinCov(DatanVector x0,
      DatanUserFunction muf)

Parameters:

x0 - position of minimum (all elements of list are set to 1).

muf - user function which must be an extension of the abstract class DatanUserFunction.

Method Detail

getCovarianceMatrix

public DatanMatrix getCovarianceMatrix(double fact)

Parameters:

fact - factor by which covariance matrix is multiplied to yield condidence matrix to a given confidence level.

Returns:

the covarariance matrix / confidence matrix.