org.encog.neural.rbf.training
Class SVD
java.lang.Object
org.encog.neural.rbf.training.SVD
public class SVD
- extends 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 |
SVD()
|
Method Summary |
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 |
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
SVD
public SVD()
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)
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