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