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LAPACK95用户指南(英文版)

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  • 大小:9.25 MB
  • 语言:中文版
  • 格式: PDF文档
  • 类别:数学书籍
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关键词:英文   巴克   用户指南   LAPACK95   2011
资源简介
LAPACK95用户指南(英文版)
出版时间:2011年版
内容简介
  lapack95 is a fortran 95 interface to thefortran 77 lapack library. it is relevant for anyone who writes inthe fortran 95 language and needs reliable software for basicnumerical linear algebra. it improves upon the originaluser-interface to the lapack package, taking advantage of theconsiderable simplifications that fortran 95 allows. lapack95 users' guide provides an introduction to the design ofthe lapackg$ package, a detailed description of itscontents,reference manuals for the leading comments of theroutines, and example programs. for more information on lapackg5 goto http://www, netlib.org/lapack95/. readers with a basic knowledge of lapack will find this book tobe an excellent companion to the popular lapack users' guide, towhich the authors frequently refer throughout this newvolume.
目录
preface
I general information
 1 essentials
  1.1 lapack95
  1.2problems that lapack95 can solve
  1.3computers for which lapack95 is suitable
  1.4lapack and the blas
  1.5availability and installation of software
   1.5.1lapack95
    1.5.1.1 incorporating machine dependencies
   1.5.2 lapack
   1.5.3 blas
   1.5.4installation debugging hints
   1.5.5mirror repositories of netlib
   1.5.6availability of software via cd-rom
  1.6support
  1.7commercial use
 2 contents of lapack95
  2.1structure of lapack95
   2.1.1levels of routines
   2.1.2data types and precision
   2.1.3naming scheme
  2.2driver routines
   2.2.1linear equations
   2.2.2linear least squares (lls) problems
   2.2.3generalized linear least squares (lse and glm)problems
   2.2.4standard eigenvalue and singular value problems
    2.2.4.1 symmetric eigenproblems (sep)
    2.2.4.2nonsymmetric eigenproblems (nep)
    2.2.4.3 singular value decomposition (svd)
   2.2.5generalized eigenvalue and singular value problems
    2.2.5.1 generalized symmetric definite eigenproblems(gsep)
    2.2.5.2generalized nonsymmetric eigenproblems (gnep)
    2.2.5.3 generalized singular value decomposition (gsvd)
 3 documentation design and program examples
 ……
II driver routines
III computationalroutines
bibliography
index by keyword
index by routine name
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