M
Martin Brown
Guest
Joel Koltner wrote:
You have to treat it with a little bit of caution. Some of the NA
algorithms contain typos in some of the languages and versions. And the
C/Pascal code shows its Fortran arrays with base index of 1 heritage in
places. Something which makes the bitreverse slightly opaque for instance.
once you have a few keywords/references out of the book. The references
in the chapters are excellent. See sci.numerical-analysis for various
gripes about the known defects of the NA code. I think they go a bit
overboard on criticising it unfairly but you do need to treat the sample
code with a bit of caution. There are more robust solutions but most of
the time the NA code will work OK.
Reasonably functional sums it up pretty well.
Test carefully that it does what you want and you should be OK.
Regards,
Martin Brown
** Posted from http://www.teranews.com **
They were physicists and engineers and the orignal was in Fortran."Phil Hobbs" <pcdhSpamMeSenseless@electrooptical.net> wrote in message
news:485145A5.3030509@electrooptical.net...
Yes, it's a pretty good book attached to some reasonably functional although
sometimes ugly code.
I have a suspicion that all those high-powered math guys who initlally created
the contents are often long gone and they're just hiring some generic
programmers to port it from language to language, using some sort of
regression testing to make sure nothing gets broken in the process.
You have to treat it with a little bit of caution. Some of the NA
algorithms contain typos in some of the languages and versions. And the
C/Pascal code shows its Fortran arrays with base index of 1 heritage in
places. Something which makes the bitreverse slightly opaque for instance.
Although these days there are better free libraries available onlineNot to mention they have some bizarre licensing scheme where just buying the
book doesn't entitle you to use the printed code -- that's a separate
purchase!
I suppose it's still cheaper than Matlab with the appropriate toolboxes...
once you have a few keywords/references out of the book. The references
in the chapters are excellent. See sci.numerical-analysis for various
gripes about the known defects of the NA code. I think they go a bit
overboard on criticising it unfairly but you do need to treat the sample
code with a bit of caution. There are more robust solutions but most of
the time the NA code will work OK.
Reasonably functional sums it up pretty well.
Test carefully that it does what you want and you should be OK.
Regards,
Martin Brown
** Posted from http://www.teranews.com **