Next:
SLA_SVDSOL - Solution Vector from SVD
Up:
SUBPROGRAM SPECIFICATIONS
Previous:
SLA_SVD - Singular Value Decomposition
SLA_SVDCOV - Covariance Matrix from SVD
ACTION:
From the
W
and
V
matrices from the SVD factorization of a matrix (as obtained from the sla_SVD routine), obtain the covariance matrix.
CALL:
CALL sla_SVDCOV (N, NP, NC, W, V, WORK, CVM)
GIVEN:
N
I
, the 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 CVM
W
D(N)
diagonal matrix
W
(diagonal elements only)
V
D(NP,NP)
array containing
orthogonal matrix
V
RETURNED:
WORK
D(N)
workspace
CVM
D(NC,NC)
array to receive covariance matrix
REFERENCE:
Numerical Recipes
, section 14.3.
Next:
SLA_SVDSOL - Solution Vector from SVD
Up:
SUBPROGRAM SPECIFICATIONS
Previous:
SLA_SVD - Singular Value Decomposition
SLALIB --- Positional Astronomy Library
Starlink User Note 67
P. T. Wallace
19 December 2005
E-mail:
ussc@star.rl.ac.uk
Copyright © 2010 Science and Technology Facilities Council