com.itemanalysis.psychometrics.optimization

Class QNMinimizer.Record

java.lang.Object

com.itemanalysis.psychometrics.optimization.QNMinimizer.Record

Enclosing class:

QNMinimizer

public class QNMinimizer.Record
extends java.lang.Object

The Record class is used to collect information about the function value over a series of iterations. This information is used to determine convergence, and to (attempt to) ensure numerical errors are not an issue. It can also be used for plotting the results of the optimization routine.

Author:

akleeman

Constructor Summary

Constructors

Constructor and Description
Record(boolean beQuiet, Function monitor, double tolerance)
Record(boolean beQuiet, Function monitor, double tolerance, double eps)
Record(boolean beQuiet, Function monitor, double tolerance, java.io.PrintWriter output)

Method Summary

Modifier and Type	Method and Description
void	add(double val, double[] grad, double[] x, int fevals, double evalScore)
double[]	getBest()
double	howLong() Return the time in seconds since this class was created.
void	monitorX(double[] x)
void	setEPS(double eps)
void	setTOL(double tolerance)
void	shutUp()
void	start(double val, double[] grad)
void	start(double val, double[] grad, double[] x)
QNMinimizer.eState	toContinue() This function checks for convergence through first order optimality, numerical convergence (i.e., zero numerical gradientAt), and also by checking the average improvement.

Methods inherited from class java.lang.Object

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

Constructor Detail

Record

public Record(boolean beQuiet,
              Function monitor,
              double tolerance)

Record

public Record(boolean beQuiet,
              Function monitor,
              double tolerance,
              java.io.PrintWriter output)

Record

public Record(boolean beQuiet,
              Function monitor,
              double tolerance,
              double eps)

Method Detail

setEPS

public void setEPS(double eps)

setTOL

public void setTOL(double tolerance)

start

public void start(double val,
                  double[] grad)

shutUp

public void shutUp()

start

public void start(double val,
                  double[] grad,
                  double[] x)

add

public void add(double val,
                double[] grad,
                double[] x,
                int fevals,
                double evalScore)

monitorX

public void monitorX(double[] x)

toContinue

public QNMinimizer.eState toContinue()

This function checks for convergence through first order optimality, numerical convergence (i.e., zero numerical gradientAt), and also by checking the average improvement.

Returns:

A value of the enumeration type

eState

which tells the state of the optimization routine indicating whether the routine should terminate, and if so why.

howLong

public double howLong()

Return the time in seconds since this class was created.

Returns:

The time in seconds since this class was created.

getBest

public double[] getBest()