Our systems are now restored following recent technical disruption, and we’re working hard to catch up on publishing. We apologise for the inconvenience caused. Find out more

Recommended product

Popular links

Popular links


Handbook for Matrix Computations

Handbook for Matrix Computations

Handbook for Matrix Computations

Charles Van Loan, Cornell University, New York
Thomas F. Coleman, Cornell University, New York
October 1998
This item is not supplied by Cambridge University Press in your region. Please contact Soc for Industrial & Applied Mathematics for availability.
Paperback
9780898712278
£45.99
GBP
Paperback

    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

    '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

    See more reviews

    Product details

    October 1998
    Paperback
    9780898712278
    272 pages
    228 × 164 × 14 mm
    0.37kg
    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.
      Authors
    • Charles Van Loan , Cornell University, New York
    • Thomas F. Coleman , Cornell University, New York