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author | Joe Hunkeler <jhunkeler@gmail.com> | 2015-08-11 16:51:37 -0400 |
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committer | Joe Hunkeler <jhunkeler@gmail.com> | 2015-08-11 16:51:37 -0400 |
commit | 40e5a5811c6ffce9b0974e93cdd927cbcf60c157 (patch) | |
tree | 4464880c571602d54f6ae114729bf62a89518057 /math/slalib/doc/svdcov.hlp | |
download | iraf-osx-40e5a5811c6ffce9b0974e93cdd927cbcf60c157.tar.gz |
Repatch (from linux) of OSX IRAF
Diffstat (limited to 'math/slalib/doc/svdcov.hlp')
-rw-r--r-- | math/slalib/doc/svdcov.hlp | 35 |
1 files changed, 35 insertions, 0 deletions
diff --git a/math/slalib/doc/svdcov.hlp b/math/slalib/doc/svdcov.hlp new file mode 100644 index 00000000..48ce38df --- /dev/null +++ b/math/slalib/doc/svdcov.hlp @@ -0,0 +1,35 @@ +.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 |