This is a concise, insightful introduction to the field of numerical linear algebra. The clarity and eloquence of the presentation make it popular with teachers and students alike. The text aims to expand the reader's view of the field and to present standard material in a novel way. All of the most
Numerical Linear Algebra
✍ Scribed by Grégoire Allaire, Sidi Mahmoud Kaber (auth.)
- Book ID
- 127456310
- Publisher
- Springer
- Year
- 2008
- Tongue
- English
- Weight
- 2 MB
- Edition
- 1
- Category
- Library
- City
- New York, NY
- ISBN
- 0387689184
No coin nor oath required. For personal study only.
✦ Synopsis
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.
✦ Subjects
Applications of Mathematics
📜 SIMILAR VOLUMES
Numerical Linear Algebra is a concise, insightful, and elegant introduction to the field of numerical linear algebra. Designed for use as a stand-alone textbook in a one-semester, graduate-level course in the topic, it has already been class-tested by MIT and Cornell graduate students from all field
Designed for use by first-year graduate students from a variety of engineering and scientific disciplines, this comprehensive textbook covers the solution of linear systems, least squares problems, eigenvalue problems, and the singular value decomposition. The author, who helped design the widely us
Designed for use by first-year graduate students from a variety of engineering and scientific disciplines, this comprehensive textbook covers the solution of linear systems, least squares problems, eigenvalue problems, and the singular value decomposition. The author, who helped design the widely us
Designed for use by first-year graduate students from a variety of engineering and scientific disciplines, this comprehensive textbook covers the solution of linear systems, least squares problems, eigenvalue problems, and the singular value decomposition. The author, who helped design the widely us
Given a self-adjoint operator \(A\) on a Hilbert space, suppose that one wishes to compute the spectrum of \(A\) numerically. In practice, these problems often arise in such a way that the matrix of \(A\) relative to a natural basis is "sparse." For example, discretized second-order differential ope