The AstroStat Slog » IMSL http://hea-www.harvard.edu/AstroStat/slog Weaving together Astronomy+Statistics+Computer Science+Engineering+Intrumentation, far beyond the growing borders Fri, 09 Sep 2011 17:05:33 +0000 en-US hourly 1 http://wordpress.org/?v=3.4 GSL – GNU Scientific Library http://hea-www.harvard.edu/AstroStat/slog/2008/gsl/ http://hea-www.harvard.edu/AstroStat/slog/2008/gsl/#comments Thu, 23 Oct 2008 16:13:32 +0000 hlee http://hea-www.harvard.edu/AstroStat/slog/?p=1095 I’ve talked about IMSL on my pyIMSL post, which is a commercial scientific library. There is a GNU version of IMSL, GSL. Finding GSL is the courtesy of Jiangang, who was the author of the poster that I most liked from the 212th AAS, (see My first AAS. V. measurement error and EM and his comment.)

From the Introduction:

The GNU Scientific Library (GSL) is a numerical library for C and C++ programmers. It is free software under the GNU General Public License.

The library provides a wide range of mathematical routines such as random number generators, special functions and least-squares fitting. There are over 1000 functions in total with an extensive test suite.

This can save your time, effort, and complexity of your C/C++ code (instead of coding on your own, you can call functions in the scientific library, which makes your code compact and decipherable).

[Added] See my pyIMSL where I made links to IMSL manuals. I have no guts to print Fortran and C/C++ versions for the sake of our earth.

]]> http://hea-www.harvard.edu/AstroStat/slog/2008/gsl/feed/ 5 PyIMSL http://hea-www.harvard.edu/AstroStat/slog/2008/pyimsl/ http://hea-www.harvard.edu/AstroStat/slog/2008/pyimsl/#comments Thu, 28 Aug 2008 00:08:14 +0000 hlee http://hea-www.harvard.edu/AstroStat/slog/?p=545 PyIMSL is a collection of Python wrappers to the math and statistical algorithms in the IMSL C Numerical Library[1]. I recall the days of digging in IMSL (International Mathematics and Statistics Library) user manuals and learning Fortran and C to use this vast library (Splus was to slow at that time). Upon knowing that Python is very favored among astronomers (click here to see the slog posts about Python) and that limits exist in Numerical Recipes (I didn’t check the latest version published last year, though), probably IMSL is useful for mathematical and statistical analysis for astronomers.

To know more, check these websites.
Press release about PyIMSL
Visual Numerics’ IMSL Numerical Libraries and
IMSL Libraries Technical Documentation (one can check what mathematical and statistical analysis tools are available from those documentations)

  1. cited from http://en.wikipedia.org/wiki/IMSL
]]> http://hea-www.harvard.edu/AstroStat/slog/2008/pyimsl/feed/ 0