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java.lang.Object  +linear_algebra.SVDC_f77
This class contains the LINPACK DSVDC (singular value decomposition) routine.
IMPORTANT: The "_f77" suffixes indicate that these routines use FORTRAN style indexing. For example, you will see
for (i = 1; i <= n; i++)rather than
for (i = 0; i < n; i++)To use the "_f77" routines you will have to declare your vectors and matrices to be one element larger (e.g., v[101] rather than v[100], and a[101][101] rather than a[100][100]), and you will have to fill elements 1 through n rather than elements 0 through n  1. Versions of these programs that use C/Java style indexing will soon be available. They will end with the suffix "_j".
This class was translated by a statistician from FORTRAN versions of the LINPACK routines. It is NOT an official translation. It wastes memory by failing to use the first elements of vectors. 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 Summary  
SVDC_f77()

Method Summary  
static void 
dsvdc_f77(double[][] x,
int n,
int p,
double[] s,
double[] e,
double[][] u,
double[][] v,
double[] work,
int job)
This method decomposes a n by p matrix X into a product UDV´ where ... 
Methods inherited from class java.lang.Object 
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait 
Constructor Detail 
public SVDC_f77()
Method Detail 
public static void dsvdc_f77(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.
x
 The matrix to be decomposedn
 The number of rows of Xp
 The number of columns of Xs
 The singular values of Xe
 See the documentation in the codeu
 The left singular vectorsv
 The right singular vectorswork
 A work arrayjob
 See the documentation in the code
SVDCException


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