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[共享]常用数值计算相关类库 [复制链接]

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只看楼主 倒序阅读 楼主  发表于: 2016-08-26





[数学计算介绍]常用数值计算库

*注:转自 http://china.cippe.net/thread-10823-1-1.html

ADIFOR automatic differentiation of Fortran codes
ALFPACK Legendre functions of first kind
ARPACK large scale eigenvalue problems
Aztec an iterative sparse linear solver package
BLAS basic linear algebra subprograms
CERNLIB CERN Program Library
CMLIB NIST core math library
DAEPAK differential algebraic equations
DASPK* solution of systems of alg./diff. eqns
(BDF/Krylov method, CM/F90/MPI)
EDA exploratory data analysis
EISPACK eigenvalues and eigenvectors
FISHPAK FFT, separable elliptic pdes
FLIB
CHARPAK character/string manipulation
GEOMPAK geometrical transformations
RANPAK random number generation
TIMPAK system date manipulation
GSLIB GSLIB: Geostatistical Software Library and User's Guide"
by C.V. Deutsch and A.G. Journel
Oxford Univ. Press, New York, 1992
Harwell-Boeing sparse matrices (also Matrix Market)
HPFlibrary HPF library in F90
HSL Harwell Subroutine Library
INTLIB interval arithmetic
IMSL Visual Numerics, Inc.
ITPACK sparse matrices, iterative methods
LAIPE parallel direct solvers (linear equations)
LANCELOT large-scale optimization problems
LAPACK linear algebra on shared memory machines
LINALG some nonstandard solvers for linear algebra
LINPACK linear algebra
MPFUN a portable multiprecision package
MINPACK nonlinear problems
MINPACK-2 nonlinear problems
MINUIT nonlinear problems
Mtask parallel programming language (Windows NT/95)
MUDPACK multigrid, linear elliptic PDEs
NCARM NCAR's local math libraries
Numerical Methods FORTRAN Programs, software supplement for
Numerical Methods for Mathematics, Science & Eng.
by John Mathews
Numerical Recipes also ftp and gopher (So is it buggy or not?)
ODEPACK LSODE
ODEs stiff/nonstiff, explicit/implicit methods
ODE software of J. Cash
PIM Parallel Iterative Solvers
RANLIB random number generation (C, FORTRAN)
ScaLAPACK MIMD version of LAPACK
SCILIB a portable FORTRAN emulation of CRAY SCILIB
SLATEC common mathematical library
SLEIGN2 Sturm-Liouville problems
SPARSKIT sparse matrices
SPBLAS NIST Sparse BLAS
SPHEREPACK spherical harmonics
SPECFUN special functions
STARPAC statistical data analysis
TENSOR nonlinear problems (tensor methods)
TLCPACK regridding (1-4D orthogonal grids)
Templates iterative solution of linear systems (html book)
TOMS algorithms from Comm. of the ACM
UMFPACK sparse linear problems with iterative refinement



Intel Math Kernel Library
1.基本线形代数运算(BLAS) 向量与向量、向量与矩阵、矩阵与矩阵的运算
2.稀疏线形代数运算
3.快速傅立叶变换(单精度/双精度)(fftw)
4.LAPACK(求解线形方程组、最小方差、特征值、Sylvester方程等)
5.向量数学库(VML)
6.向量统计学库(VSL)
7.高级离散傅立叶变换

IMSL
软件名称 IMSL C Numerical Library(不兼容vc6编译器)
程序设计语言 C, Forton, C#, Java
资源网址 http://www.vni.com/
功能概述 分为统计库和数学库两部分. 数学库包含应用数学和特殊函数.IMSL 程序库 - 已成为数值分析解决方案的工业标准。 IMSL 程序库提供最完整与最值得信赖的函数库。 IMSL 数值程序库提供目前世界上最广泛被使用的 IMSL 算法,有超过 370 验证过、最正确与 thread-safe 的数学与统计程序。 IMSL FORTRAN 程序库提供新一代以 FORTRAN 90 为程序库基础的程序,能展现出最佳化的演算法能力应用于多处理器与其它高效能运算系统

lapack
软件名称 Linear Algebra Package
程序设计语言 Fortran 77
资源网址 http://www.netlib.org/lapack
功能概述 线性代数计算子程序包

lapack++
软件名称 Linear Algebra Package in c++
程序设计语言 c++
资源网址 http://math.nist.gov/lapack++/
功能概述 c++版的线性代数计算子程序包

BLAS
软件名称 Basic Linear Algebra Subroutines
程序设计语言 Fortran 77
主要开发者 Kagstrom B. ,Ling P. ,Van Loan C.
资源网址 http://www.netlib.org/blas
功能概述 Blas是执行向量和矩阵运算的子程序集合。

uBLAS
BLAS in C++ with expression templates. 表达式模版形式的 C++中的BLAS ,

gsl
软件名称 GNU Scientific Library (linux)
程序设计语言 C , C++ compable
资源网址 http://www.gnu.org/software/gsl/
功能概述 范围广泛, 包括数值分析的常见内容

Blitz++
软件名称 Blitz++ (不兼容vc6编译器)
资源网址 http://sourceforge.net/project/showfiles.php?group_id=63961
功能概述 The current versions provide dense arrays and vectors, random number generators, and small vectors and matrices.是一个高效率的数值计算函数库,它的设计目的是希望建立一套既具像 C++ 一样方便,同时又比 Fortran 速度更快的数值计算环境。通常,用 C++ 所写出的数值程序,比 Fortran 慢 20% 左右,因此Blitz++ 正是要改掉这个缺点。方法是利用 C++ 的 template 技术,程序执行甚至可以比 Fortran 更快。

MTL
软件名称 Matrix Template Library(兼容vc6编译器)
资源网址 http://www.osl.iu.edu/research/mtl/
功能概述 The Matrix Template Library (MTL) is a high-performance generic component library that provides comprehensive linear algebra functionality for a wide variety of matrix formats. MTL专注于线性代数相关的计算任务,如各种形式矩阵的生成(对角,共轭,稀疏,对称等),相关的计算,变换,以及与一维向量的运算
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