org.encog.neural.rbf.training

Class SVD

java.lang.Object

org.encog.neural.rbf.training.SVD

public class SVD
extends java.lang.Object

Perform a SVD decomp on a matrix. Contributed to Encog By M.Fletcher and M.Dean University of Cambridge, Dept. of Physics, UK

Constructor Summary

Constructors

Constructor and Description
SVD()

Method Summary

Modifier and Type	Method and Description
static double	MAX(double a, double b)
static int	MIN(int m, int n)
static double	pythag(double a, double b)
static double	SIGN(double a, double b)
static void	svdbksb(double[][] u, double[] w, double[][] v, double[][] b, double[][] x)
static void	svdcmp(double[][] a, double[] w, double[][] v)
static double	svdfit(double[][] x, double[][] y, double[][] a, RadialBasisFunction[] funcs)

Methods inherited from class java.lang.Object

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

Constructor Detail

SVD

public SVD()

Method Detail

svdfit

public static double svdfit(double[][] x,
                            double[][] y,
                            double[][] a,
                            RadialBasisFunction[] funcs)

svdbksb

public static void svdbksb(double[][] u,
                           double[] w,
                           double[][] v,
                           double[][] b,
                           double[][] x)

svdcmp

public static void svdcmp(double[][] a,
                          double[] w,
                          double[][] v)

MIN

public static int MIN(int m,
                      int n)

MAX

public static double MAX(double a,
                         double b)

SIGN

public static double SIGN(double a,
                          double b)

pythag

public static double pythag(double a,
                            double b)