From fa080de7afc95aa1c19a6e6fc0e0708ced2eadc4 Mon Sep 17 00:00:00 2001
From: Joseph Hunkeler <jhunkeler@gmail.com>
Date: Wed, 8 Jul 2015 20:46:52 -0400
Subject: Initial commit

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 math/slalib/doc/svdcov.hlp | 35 +++++++++++++++++++++++++++++++++++
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 create mode 100644 math/slalib/doc/svdcov.hlp

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+.help svdcov Jun99 "Slalib Package"
+.nf
+
+      SUBROUTINE slSVDC (N, NP, NC, W, V, WORK, CVM)
+
+     - - - - - - -
+      S V D C
+     - - - - - - -
+
+  From the W and V matrices from the SVD factorisation of a matrix
+  (as obtained from the slSVD routine), obtain the covariance matrix.
+
+  (double precision)
+
+  Given:
+     N      i         number of rows and columns in matrices W and V
+     NP     i         first dimension of array containing matrix V
+     NC     i         first dimension of array to receive CVM
+     W      d(N)      NxN diagonal matrix W (diagonal elements only)
+     V      d(NP,NP)  array containing NxN orthogonal matrix V
+
+  Returned:
+     WORK   d(N)      workspace
+     CVM    d(NC,NC)  array to receive covariance matrix
+
+  Reference:
+     Numerical Recipes, section 14.3.
+
+  P.T.Wallace   Starlink   December 1988
+
+  Copyright (C) 1995 Rutherford Appleton Laboratory
+  Copyright (C) 1995 Association of Universities for Research in Astronomy Inc.
+
+.fi
+.endhelp
-- 
cgit 

