• 线性代数相关库


    blas

    The BLAS (Basic Linear Algebra Subprograms) are routines that provide standard building blocks for performing basic vector and matrix operations. The Level 1 BLAS perform scalar, vector and vector-vector operations, the Level 2 BLAS perform matrix-vector operations, and the Level 3 BLAS perform matrix-matrix operations. Because the BLAS are efficient, portable, and widely available, they are commonly used in the development of high quality linear algebra software, LAPACK for example.

    http://www.netlib.org/blas/

    Lapack

    LAPACK is written in Fortran 90 and provides routines for solving systems of simultaneous linear equations, least-squares solutions of linear systems of equations, eigenvalue problems, and singular value problems. The associated matrix factorizations (LU, Cholesky, QR, SVD, Schur, generalized Schur) are also provided, as are related computations such as reordering of the Schur factorizations and estimating condition numbers. Dense and banded matrices are handled, but not general sparse matrices. In all areas, similar functionality is provided for real and complex matrices, in both single and double precision.

    http://www.netlib.org/lapack/

    Linpack

    LINPACK is a collection of Fortran subroutines that analyze and solve linear equations and linear least-squares problems. The package solves linear systems whose matrices are general, banded, symmetric indefinite, symmetric positive definite, triangular, and tridiagonal square. In addition, the package computes the QR and singular value decompositions of rectangular matrices and applies them to least-squares problems. LINPACK uses column-oriented algorithms to increase efficiency by preserving locality of reference.

    http://www.netlib.org/linpack/

  • 相关阅读:
    android-----JNI学习 helloworld
    android布局之线性布局
    Hadoop最基本的wordcount(统计词频)
    有些错误就只因没有全局观
    Eclipse如何生成带有自定tag的Java Doc
    编程之美----高效率地安排见面会----贪心策略
    Servlet Filter
    【解决方法】VS 丢失模板
    你不是一个人在战斗——软件项目团队模型
    [Oracle] Data Pump 详细使用教程(4)- network_link
  • 原文地址:https://www.cnblogs.com/guo-xiang/p/4645787.html
Copyright © 2020-2023  润新知