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<title>pkgsrc/math/ruby-gsl/PLIST, branch pkgsrc_2004Q4</title>
<subtitle>[no description]</subtitle>
<id>https://git.osdyson.ru/mirror/pkgsrc/atom?h=pkgsrc_2004Q4</id>
<link rel='self' href='https://git.osdyson.ru/mirror/pkgsrc/atom?h=pkgsrc_2004Q4'/>
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<updated>2004-12-04T17:20:46Z</updated>
<entry>
<title>Switch to use RUBY_DLEXT as suffix of extention library.</title>
<updated>2004-12-04T17:20:46Z</updated>
<author>
<name>taca</name>
<email>taca</email>
</author>
<published>2004-12-04T17:20:46Z</published>
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<id>urn:sha1:f060c2e6a78590e2a6c0de8ce23d2de21c858f51</id>
<content type='text'>
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<entry>
<title>Update ruby-gsl pacakge to 0.2.0 migrating to use new Ruby framework.</title>
<updated>2004-11-27T16:27:45Z</updated>
<author>
<name>taca</name>
<email>taca</email>
</author>
<published>2004-11-27T16:27:45Z</published>
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<id>urn:sha1:354c0a6095dfec9e05de5ceb87e15a84d2acd837</id>
<content type='text'>
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 -&gt; MKSA, CGS -&gt; CGSM)
       better (meaning more sensible) error handling
       fixed initialization bug in Spline
       more samples
</content>
</entry>
<entry>
<title>import ruby-gsl-0.1.9</title>
<updated>2003-09-15T00:18:31Z</updated>
<author>
<name>dmcmahill</name>
<email>dmcmahill</email>
</author>
<published>2003-09-15T00:18:31Z</published>
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<id>urn:sha1:0e699a3310ed0b40a5fb4998b974c8c80c7132db</id>
<content type='text'>
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)
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