| http://www.lysator.liu.se/c/num-recipes-in-c.html
That's for the first edition, 1985.
You should look at the third edition, published in 2007.
Any pointers to serious reviews (preferably in numerical analysis
journals) would be especially welcome.
Regards,
Nick Maclaren.
* IBM's Scientific Subroutine Package, Version II (FORTRAN). H20-0205
There's an edition about 1969, and there may have been later editions.
* IBM's Scientific Subroutine Package PL/I, 1969. GH20-0586
* ACM's collection of algorithms.
The review in Computer Physics Communications 103 (1997) 100-101 was not too
flattering:
"The majority of the chapters stop short of describing (and therefore
providing algorithms and code for) state of the art algorithms."
"In other cases the advise section appears to be badly out of date. The
section on stiff ordinary differential equations does not mention any
modern codes or techniques, indeed the majority of algorithms discussed
and the recommended bibliography are almost entirely pre 1980."
Of what?
Would it be of the second edition, that was published in 1992?
Or the first?
| 100-101 was not too flattering:
|
| "The majority of the chapters stop short of describing (and therefore
| providing algorithms and code for) state of the art algorithms."
|
| "In other cases the advise section appears to be badly out of date. The
| section on stiff ordinary differential equations does not mention any
| modern codes or techniques, indeed the majority of algorithms discussed
| and the recommended bibliography are almost entirely pre 1980."
That would be appropriate if the review was of the first edition.
In any case, the review is obsolete. The third edition was published
in 2007.
Oops ! Please ignore my remarks in my previous post.
I thought this was still about NR (as in the subject heading).
Thanks very much. Well, that's better than most of the traditional
ones, which were one or more decades before that :-(
Regards,
Nick Maclaren.
I bought it.
I've never used the algorithms; it seemed no better than Numerical
recipes, at least in my problem area - solution of ODEs.