Click here to see the number of accesses to this library.
file links.html
for pointers to related resources
lib answerbook
for code from Hansen's C++ Answers book
by Tony L. Hansen
ref "The C++ Answer Book", Addison-Wesley, 1990, ISBN 0-302-11497-6
lib idioms
for code from Coplien's, "Advanced C++ Programming Styles and Idioms"
by James O. Coplien
ref "Advanced C++ Programming Styles and Idioms", Addison-Wesley, 1992, ISBN 0-201-54855-0
file fft.tgz
for Radix-2 Fast Fourier Transform, real or complex; sin/cos transform
by Oleg Kiselyov <oleg@pobox.com or oleg@acm.org>
see c++/linalg.tgz
file linalg.tgz
for basic linear algebra classes and applications (SVD,
# interpolation, multivariate optimization)
by Oleg Kiselyov <oleg@pobox.com or oleg@acm.org>
prec single/double
# singular value decomposition (SVD), regularized solution of
, simultaneous linear equations (with possibly rectangular matrices)
, and (pseudo)matrix inverse.
, also includes Aitken-Lagrange
, interpolation over the table of uniform or arbitrary mesh, and a
, Hook-Jeevse local multidimensional minimizer
, Matrix views, various Matrix
, streams, and LazyMatrices. Lazy construction allows one to write
, matrix expressions in a natural way while imposing no hidden
, temporaries, no deep copying, and no reference counting.
file serv_cc.shar
for a couple of functions that ought to be in the standard
, C++ environment;
, - Updated G++ class File that allows now for the file name to
, include pipes, say,
, File in_file("zcat aaa.Z |","r");
, - Resource facility, or managing global "private" parameters
, that specify various program "options". It helps keep
, reasonable number of arguments in function calls.
by Oleg Kiselyov <oleg@pobox.com or oleg@acm.org>
file shar.shar
for Builder for the .shar archive.
by Oleg Keselyov <oleg@pobox.com or oleg@acm.org> 22 Feb 1996
# see also /netlib/access/unshar.c
lib mxyzptlk
for C++ implementation of differential algebra
by Leo Michelotti <michelotti@adcalc.fnal.gov>
file lparx-1.0.tar.Z
for LPARX provides efficient run-time support for dynamic, non-uniform
, scientific calculations running on MIMD distributed memory
, architectures. It extends HPF's data decomposition model to provide
, support for dynamic, block irregular data structures. LPARX
, represents data decompositions as first-class objects and expresses
, data dependencies in a manner which is logically independent of data
, decomposition and problem dimension. LPARX applications are portable
, across a diversity of MIMD machines.
by Scott Baden and Scott Kohn <na.baden@na-net.ornl.gov skohn@cs.ucsd.edu>
size 1.8 MB