pkgsrc/math/ruby-gsl, branch pkgsrc_2004Q4 [no description] https://git.osdyson.ru/mirror/pkgsrc/atom?h=pkgsrc_2004Q4 2004-12-04T17:20:46Z Switch to use RUBY_DLEXT as suffix of extention library. 2004-12-04T17:20:46Z taca taca 2004-12-04T17:20:46Z urn:sha1:f060c2e6a78590e2a6c0de8ce23d2de21c858f51 Update ruby-gsl pacakge to 0.2.0 migrating to use new Ruby framework. 2004-11-27T16:27:45Z taca taca 2004-11-27T16:27:45Z urn:sha1:354c0a6095dfec9e05de5ceb87e15a84d2acd837 0.2.0: using GSL 1.5 sorting vectors fixes in Vector and Linalg_complex check if complex_householder_hv is available check for Cygwin faster MonteCarlo implementation more and renamed constants (MKS -> MKSA, CGS -> CGSM) better (meaning more sensible) error handling fixed initialization bug in Spline more samples Libtool fix for PR pkg/26633, and other issues. Update libtool to 1.5.10 2004-10-03T00:12:51Z tv tv 2004-10-03T00:12:51Z urn:sha1:b5510d5a2d7f9a1406603d922ae5d8548950233c in the process. (More information on tech-pkg.) Bump PKGREVISION and BUILDLINK_DEPENDS of all packages using libtool and installing .la files. Bump PKGREVISION (only) of all packages depending directly on the above via a buildlink3 include. Convert to buildlink3. 2004-04-11T04:38:48Z snj snj 2004-04-11T04:38:48Z urn:sha1:adc6179d19c4ff2384ec5d532269e975bd477aa2 Move WRKSRC definition away from the first paragraph in a Makefile. 2004-01-20T12:18:15Z agc agc 2004-01-20T12:18:15Z urn:sha1:1e53090cc228edde244c3b79950271b8ca469b1f import ruby-gsl-0.1.9 2003-09-15T00:18:31Z dmcmahill dmcmahill 2003-09-15T00:18:31Z urn:sha1:0e699a3310ed0b40a5fb4998b974c8c80c7132db This is a port of the GNU Scientific Library to the Ruby programming language. Things from GSL you can use in ruby-gsl: - some error handling (ch. 3 in the GSL documentation) - basic mathematical functions (ch. 4) - complex numbers (ch. 5) - functions for polynomial evaluation/roots (ch. 6) - most "special functions" (ch. 7) - vectors and matrices (ch. 8) - permutations (ch. 9) - combinations (ch. 10) - BLAS support (ch. 12) - linear algebra (ch. 13) - eigensystems (ch. 14) - numerical integration (ch. 16) - random number generation (ch. 17) - quasi-random sequences (ch. 18) - most random number distributions (ch. 19) - most statistical functions (ch. 20) - histograms (ch. 21) - Monte Carlo integration (ch. 23) - Simulated Annealing (not reliable) (ch. 24) - interpolation (ch. 26) - numerical differentiation (ch. 27) - Chebyshev approximation (ch. 28) - series acceleration (ch. 29) - Discrete Hankel Transforms (ch. 30) - 1-dimensional root-finding (ch. 31) - 1-dimensional minimization (ch. 32) - some functions for least-squares fitting (ch. 35) - physical constants (ch. 37)