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Class linear_algebra.SVDC_j 

java.lang.Object
   |
   +----linear_algebra.SVDC_j
public class SVDC_j
extends Object

This class contains the LINPACK DSVDC (singular value decomposition) routine.

IMPORTANT: The "_j" suffixes indicate that these routines use Java/C style indexing. For example, you will see 

   for (i = 0; i < n; i++)
rather than 
   for (i = 1; i <= n; i++)
To use the "_j" routines you will have to fill elements 0 through n - 1 rather than elements 1 through n. Versions of these programs that use FORTRAN style indexing are also available. They end with the suffix "_f77".

This class was translated by a statistician from FORTRAN versions of the LINPACK routines. It is NOT an official translation. When public domain Java numerical analysis routines become available from the people who produce LAPACK, then THE CODE PRODUCED BY THE NUMERICAL ANALYSTS SHOULD BE USED.

Meanwhile, if you have suggestions for improving this code, please contact Steve Verrill at steve@ws10.fpl.fs.fed.us.

Constructor Index

o SVDC_j()

Method Index

o dsvdc_j(double[][], int, int, double[], double[], double[][], double[][], double[], int)

This method decomposes a n by p matrix X into a product UDV´ where ...

Constructors

o SVDC_j 
 public SVDC_j()

Methods

o dsvdc_j 
 public static void dsvdc_j(double x[][],
                            int n,
                            int p,
                            double s[],
                            double e[],
                            double u[][],
                            double v[][],
                            double work[],
                            int job) throws SVDCException

This method decomposes a n by p matrix X into a product UDV´ where ... For details, see the comments in the code. This method is a translation from FORTRAN to Java of the LINPACK subroutine DSVDC. In the LINPACK listing DSVDC is attributed to G.W. Stewart with a date of 3/19/79. Translated by Steve Verrill, March 3, 1997.

Parameters:
x - The matrix to be decomposed
n - The number of rows of X
p - The number of columns of X
s - The singular values of X
e - See the documentation in the code
u - The left singular vectors
v - The right singular vectors
work - A work array
job - See the documentation in the code
info - See the documentation in the code 
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