>>>>> "Romain" == Romain Francois <[EMAIL PROTECTED]> >>>>> on Thu, 01 Sep 2005 11:19:59 +0200 writes:
Romain> Le 01.09.2005 10:32, Ott Toomet a écrit : >> Thanks for everyone who replied to my question. >> >> I tried newmat myself, seems to be working well. What I >> am interested in is something like >> >> * Fast element-wise operations. You know, it may be slow >> in R. >> >> * (Some) control over memory allocation. I would like to >> specify when the matrix should not be copied. >> >> * Compatibility with R. At least the way how the matrix >> data is represented in memory should be the same as R >> has. Otherwise, the data interchange may become slow and >> memory-consuming. >> >> * And, of course, the basic matrix operations like >> multiplication, inverting, eigenvalues etc.... >> >> I am using linux/gcc if that matters. >> >> Best, Ott | From: "Tuszynski, Jaroslaw W." >> <[EMAIL PROTECTED]> | Date: Wed, 31 Aug 2005 >> 12:59:04 -0400 >> | >> | What kind of matrix operations do you need? >> | >> | Jarek >> | >> | -----Original Message----- | From: >> [EMAIL PROTECTED] | >> [mailto:[EMAIL PROTECTED] On Behalf Of >> Ott Toomet | Sent: Wednesday, August 31, 2005 12:54 PM | >> To: r-help@stat.math.ethz.ch | Subject: [R] "best" c++ >> matrix library? >> | >> | Hi folks, >> | >> | I am planning to write some more time-consuming matrix >> manipulations in c++. | What is the experience with the >> existing c++ matrix libraries? Do you have | some >> recommendations? Are some libraries more compatible with >> R than the | others? >> | >> | All suggestions welcome! >> | >> | Best, | Ott >> >> Romain> Hello, Romain> CPPLAPACK : <http://cpplapack.sourceforge.net/> is a Romain> c++ wrapper for lapack routines. It is not so Romain> complicated to use once you have blas and lapack Romain> installed. I think it is much faster than newmat. LAPACK is ``state of the art'' of numerical algebra. Don't use anything else if you don't have to. It's definitely *much* more ``compatible with R'' since we base almost all our matrix computations on LAPACK. GNU octave and commercial Matlab are also entirely based on LAPACK for the matrix computations. I have no idea about the "CPP" (= c++) part in CPPLAPACK though. The CRAN package 'Matrix' has several objectives, notably *sparse* matrix computations. But it also uses LAPACK for dense matric computations, AFAIR also for a few things not available (via LAPACK) in "core R". Martin Maechler, ETH Zurich ______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html