Computation of a semidiscrete approximation to a matrix in a weighted norm. Expresses the matrix as a weighted sum of outer products formed by vectors with entries in the set {-1,0,1}. The approximation requires only a small amount of storage. Approximation of tensors is also included. (See T. Kolda and D. O'Leary, ACM TOMS 26 (2000) pp. 415-435). Classes : D7 . Update matrix decompositions E2a . Interpolation of gridded multivariate data K1a1b . Unconstrained linear least squares approximation on multivariate data (surface fitting) Type : C software in TOMS collection. Access : Some uses prohibited. Portable. Precision: Single. Details : Fullsource Sites : (1) NETLIB
NETLIB: Public access repository, The University of Tennessee at Knoxville and Bell Laboratories Precision: Single. You may access components from NETLIB outside GAMS as follows. Fullsource : echo "send 805 from toms" | mail netlib@ornl.gov
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