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