Paul A. Bristow wrote:
-----Original Message----- From: boost-bounces@lists.boost.org [mailto:boost-bounces@lists.boost.org]
On
Behalf Of Thijs van den Berg Sent: 22 November 2008 14:48 To: boost@lists.boost.org Subject: Re: [boost] [math distributions] where to check for validity of
distribution
variables?
I got a bit of Laplace code to share! I still need to test the numerical results, but I compiles without
errors/warnings, and it
throws errors when parameters are invalid.
Do I need to put the code somewhere? I've attached it to this mail...
Suggest you commit to sandbox
Boost_sandbox\math_toolkit\boost\math\distributions
At the moment, I just have the code.
It you think the code is ok,
Looks plausible but I've not checked in detail.
then how would I go about with documentation & testing?
Do you have some structure in place for that?
I've seen quite some code in the sandbox/math, ...concept etc...
You need a test suite - follow the examples for similar distributions?
ok, I build a test suite & search for reference material (for the test values). Once I have that ready, and the test show valid results, I'll add it to the sandbox. It might take a couple of day.
Don't forget to say where you got the test values from (Wolfram, Matlab...) in comments. We've tried to use a variety of sources to reduce the risk of mistakes. I have MathCAD but it doesn't calculate Laplace I think.
I find using MSVC IDE helpful for testing the test, but then you can add to the test jamfile.v2
"Run test_laplace.cpp"
Good idea to cut your teeth on a simple distribution before trying to run with a multivariate one ;-)
HTH
Paul
Yes, it's a great way to get an introduction on how things work here at boost as well as the design of the math/distribution package! Thanks for the pointers, oops I mean references!