Package gov.nih.mipav.model.algorithms

Class NMSimplex

java.lang.Object

gov.nih.mipav.model.algorithms.NMSimplex

public abstract class NMSimplex
extends Object

Example public class Objfunc implements Objfun { public double evalObjfun(double x[]){ return (100*(x[1]-x[0]*x[0])*(x[1]-x[0]*x[0])+(1.0-x[0])*(1.0-x[0])); } } public class Constraint implements Constraints { double round2(double num, int precision) { double rnum; int tnum; rnum = num*Math.pow(10,precision); tnum = (int)(rnum invalid input: '<' 0 ? rnum-0.5 : rnum + 0.5); rnum = tnum/Math.pow(10,precision); return rnum; } public void getConstrainedValues(double x[], int n) { // round to 2 decimal places int i; for (i=0; iinvalid input: '<'n; i++) { x[i] = round2(x[i],2); } } } public class Testfun { public static void main(String[] args) throws IOException { double start[] = {-1.2,1.0}; int dim = 2; double eps = 1.0e-4; double scale = 1.0; boolean display = true; int i; NMSimplex simplex = new NMSimplex(start,dim,eps,scale,display); for (i=0; iinvalid input: '<'dim; i++) { System.out.format("%f\n",start[i]); } } } My run of Rosenbrock example gives: Starting at double x0[] = new double[]{0.0,0.0}; The minimum was found at 1.000000e+00 1.000000e+00 101 Function Evaluations 50 Iterations through program This agrees with Nike Hutt's answer: Initial Values 0.00, 0.00, value 1.00 0.97, 0.26, value 46.36 0.26, 0.97, value 81.98 102 Function Evaluations 50 Iterations through program The minimum was found at 1.00, 1.00, value 0.00

Field Summary

Fields

Modifier and Type	Field	Description
(package private) static final double	ALPHA
(package private) static final double	BETA
private boolean	display
private double	EPSILON
(package private) static final double	GAMMA
(package private) static final int	MAX_IT
private int	n
private double	scale
private double[]	start

Constructor Summary

Constructors

Constructor	Description
NMSimplex(double[] start, int n, double EPSILON, double scale, boolean display)

Method Summary

Modifier and Type	Method	Description
void	driver()
abstract double	evalObjfun(double[] x)
abstract void	getConstrainedValues(double[] x, int n)

Methods inherited from class java.lang.Object

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

Field Details

MAX_IT

static final int MAX_IT

See Also:

• Constant Field Values

ALPHA

static final double ALPHA

See Also:

• Constant Field Values

BETA

static final double BETA

See Also:

• Constant Field Values

GAMMA

static final double GAMMA

See Also:

• Constant Field Values

start

private double[] start

n

private int n

EPSILON

private double EPSILON

scale

private double scale

display

private boolean display

Constructor Details

NMSimplex

public NMSimplex(double[] start,
 int n,
 double EPSILON,
 double scale,
 boolean display)

Method Details

driver

public void driver()

getConstrainedValues

public abstract void getConstrainedValues(double[] x,
 int n)

evalObjfun

public abstract double evalObjfun(double[] x)