Handbook for Matrix Computations
£45.99
Part of Frontiers in Applied Mathematics
- Authors:
- Charles Van Loan, Cornell University, New York
- Thomas F. Coleman, Cornell University, New York
- Date Published: October 1998
- availability: This item is not supplied by Cambridge University Press in your region. Please contact Soc for Industrial & Applied Mathematics for availability.
- format: Paperback
- isbn: 9780898712278
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Paperback
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Provides the user with a step-by-step introduction to Fortran 77, BLAS, LINPACK, and MATLAB. It is a reference that spans several levels of practical matrix computations with a strong emphasis on examples and 'hands on' experience.
Reviews & endorsements
'This handbook can be used as a reference by those actively engaged in scientific computation. It can also serve as a practical companion text in a numerical methods course that involves a significant amount of linear algebraic computation.' Applied Mechanics Review
See more reviews'I recommend this book as a backup to a good text in a second course on numerical computations or as a good reference for individuals who need a guide to matrix computations using Fortran along with LINPACK and BLAS. The authors, SIAM, and the editorial board are to be complimented on a job well done …' Fortran Journal
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×Product details
- Date Published: October 1998
- format: Paperback
- isbn: 9780898712278
- length: 272 pages
- dimensions: 228 x 164 x 14 mm
- weight: 0.37kg
- availability: This item is not supplied by Cambridge University Press in your region. Please contact Soc for Industrial & Applied Mathematics for availability.
Table of Contents
1. A Subset of Fortran 77. Basics, Logical Operations, Loops, Arrays, Subprograms, Input/Output, Complex Arithmetic, Programming Tips, Fortran 77 Built-in Functions
2. The BLAS. Bookkeeping Operations, Vector Operations, Norm Computations, Givens Rotations, Double Precision and Complex Versions
3.LINPACK. Triangular Systems, General Systems, Symmetric Systems, Banded Systems, The QR Factorization, The Singular Value Decomposition, Double Precision and Complex Versions
4. MATLAB. Basics, Loops and Conditionals, Built-in Functions, Working with Submatrices, Functions, Factorizations, Miscellaneous.
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