BLAS2_S 
 Single Precision Real Matrix-Vector Basic Linear Algebra Subprograms
    
    
    
      BLAS2_S
      a C++ library which
      constitutes the Level 2 Basic Linear Algebra Subprograms (BLAS),
      for matrix-vector operations,
      using single precision real arithmetic.
    
    
      The BLAS are a small core library of linear algebra utilities,
      which can be highly optimized for various architectures.
    
    
      Licensing:
    
    
      The computer code and data files described and made available on this web page
      are distributed under
      the GNU LGPL license.
    
    
      Languages:
    
    
      BLAS2_S is available in
      a C version and
      a C++ version and
      a FORTRAN90 version and
      a MATLAB version.
    
    
      Related Data and Programs:
    
    
      
      BLAS,
      a C++ library which
      contains the Basic Linear Algebra Subprograms (BLAS)
      for level 1 (vector-vector operations), 
      level 2 (matrix-vector operations) and 
      level 3 (matrix-matrix operations), 
      for single precision real arithmetic,
      double precision real arithmetic,
      single precision complex arithmetic, and
      double precision complex arithmetic.
    
    
      Reference:
    
    
      
        - 
          Edward Anderson, Zhaojun Bai, Christian Bischof, Susan Blackford,
          James Demmel, Jack Dongarra, Jeremy Du Croz, Anne Greenbaum,
          Sven Hammarling, Alan McKenney, Danny Sorensen,
          LAPACK User's Guide,
          Third Edition,
          SIAM, 1999,
          ISBN: 0898714478,
          LC: QA76.73.F25L36.
         
        - 
          Jack Dongarra, Jim Bunch, Cleve Moler, Pete Stewart,
          LINPACK User's Guide,
          SIAM, 1979,
          ISBN13: 978-0-898711-72-1,
          LC: QA214.L56.
         
        - 
          Charles Lawson, Richard Hanson, David Kincaid, Fred Krogh,
          Algorithm 539:
          Basic Linear Algebra Subprograms for Fortran Usage,
          ACM Transactions on Mathematical Software,
          Volume 5, Number 3, September 1979, pages 308-323.
         
      
    
    
      Source Code:
    
    
      
    
    
      Examples and Tests:
    
    
      
    
    
      List of Routines:
    
    
      
        - 
          SGEMV computes y := alpha * A * x + beta * y for general matrix A.
        
 
        - 
          SGER computes A := alpha*x*y' + A.
        
 
        - 
          STRMV computes x: = A*x or x = A'*x for a triangular matrix A.
        
 
      
    
    
      You can go up one level to 
      the C++ source codes.
    
    
    
      Last revised on 19 March 2017.