GNOME이나 KDE처럼 관심을 집중시키는 일반적인 주제는 아니지만,
그래도 관심있으신(그럴 가능성이 있는~ :-) 분들을 위해 소개합니다.

그동안 Mozilla와 비슷한(?) 버전으로 꾸준히 업데이트되어 온
(물론 Mozilla와는 아무 상관없는 프로젝트지만... ^^) GSL,
GNU Scientific Library가 11월 1일부로 첫번째 정식버전으로
올라왔습니다. 개인적으로 시물레이션 등을 할 때 편리하게 이용할수
있는 수치계산 라이브러리라는 생각에 가끔 소스도 들여다 보고
테스트도 해보곤 했는데, 드뎌 기다리던 정식 릴리즈가 나오니깐
너무 반갑네요... 수치계산이나 시물레이션 등과 별로 친분이 없으신
분들은 그냥 무시하시구요; 그렇지 않은 분들은 한 번 구경해(?)
보세요..  ^^

=====================================================
Subject: GNU Scientific Library(GSL) 1.0 is released
From: Brian Gough lig at network-theory.co.uk
Date:2001년 11월 03일 00:04
To: gsl-announce at sources.redhat.com
=====================================================
The first major release of the GNU Scientific Library (1.0) is now
available for general use.

The GNU Scientific Library (GSL) is a collection of routines for
numerical computing in C.  The routines are written from scratch by
the GSL team in ANSI C and present a modern API for C programmers,
allowing wrappers to be written for very high level languages.

GSL is free software distributed under the GNU General Public License.

The source code can be downloaded from the following locations,

USA: ftp://mirrors.rcn.net/pub/sourceware/gsl/
UK: ftp://ftp.mirror.ac.uk/sites/sourceware.cygnus.com/pub/gsl/

The project home page is at http://sources.redhat.com/gsl/

Thanks to everyone who contributed code and bug reports, and to Red
Hat for generously providing hosting services for the project.

The library covers the following areas,

  * Complex Numbers
  * Roots of Polynomials
  * Special Functions
  * Vectors and Matrices
  * Permutations
  * Sorting
  * BLAS Support
  * Linear Algebra
  * Eigensystems
  * Fast Fourier Transforms
  * Quadrature
  * Random Numbers
  * Quasi-Random Sequences
  * Random Distributions
  * Statistics
  * Histograms
  * N-Tuples
  * Monte Carlo Integration
  * Simulated Annealing
  * Differential Equations
  * Interpolation
  * Numerical Differentiation
  * Chebyshev Approximations
  * Series Acceleration
  * Discrete Hankel Transforms
  * Root-Finding
  * Minimization
  * Least-Squares Fitting
  * Physical Constants
  * IEEE Floating-Point

Further information can be found in the GSL Reference Manual and on
the project homepage.