Advertisement

Numerical Linear Algebra

  • Grégoire Allaire
  • Sidi Mahmoud Kaber

Part of the Texts in Applied Mathematics book series (TAM, volume 55)

Table of contents

  1. Front Matter
    Pages I-XI
  2. Pages 1-14
  3. Pages 71-96
  4. Pages 125-142
  5. Pages 143-162
  6. Pages 223-265
  7. Back Matter
    Pages 266-273

About this book

Introduction

This book brings together linear algebra, numerical methods and an easy to use programming environment under Matlab (or Scilab). One of the key features of the book are the worked out examples and exercises at the end of each chapter. The reader is asked to do some numerical experiments in Matlab and then to prove the results theoretically.

The book is a combination and update of two earlier French books by the authors. It is appropriate for both undergraduate and beginning graduate courses in mathematics as well as for working scientists and engineers as a self-study tool and reference.This book is about numerical linear algebra and focuses on practical algorithms for solving computer problems of linear algebra.

Gregoire Allaire is a professor of Applied Mathematics at Ecole Polytechnique in France.

Sidi Mahmoud Kaber is an associate professor at the Universite Pierre et Marie Curie in France.

 

Keywords

Eigenvalue Linear MATLAB Matrix Numerical algebra linear algebra

Authors and affiliations

  • Grégoire Allaire
    • 1
  • Sidi Mahmoud Kaber
    • 2
  1. 1.CMAP Ecole PolytechniquePalaiseauFrance
  2. 2.Université Pierre et Marie CurieParisFrance

Bibliographic information

  • DOI https://doi.org/10.1007/978-0-387-68918-0
  • Copyright Information Springer-Verlag New York 2008
  • Publisher Name Springer, New York, NY
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-0-387-34159-0
  • Online ISBN 978-0-387-68918-0
  • Series Print ISSN 0939-2475
  • Buy this book on publisher's site
Industry Sectors
Aerospace
Oil, Gas & Geosciences
Engineering