Introduction to numerical linear algebra and optimisation
著者
書誌事項
Introduction to numerical linear algebra and optimisation
（Cambridge texts in applied mathematics）
Cambridge University Press, 1989
- : pbk
- タイトル別名
-
Introduction à l'analyse numérique matricielle et à l'optimisation
Exercises d'analyse numérique matricielle et d'optimisation
Numerical linear algebra and optimization
Introduction to numerical linear algebra and optimisation
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注記
Translation of: Introduction à l'analyse numérique matricielle et à l'optimisation and Exercises d'analyse numérique matricielle et d'optimisation
"First published in English by Cambridge University Press 1989 as Introduction to numerical linear algebra and optimisation" -- T.p. verso
Includes index
The book size of the paperback version is 23 cm
内容説明・目次
内容説明
The purpose of this book is to give a thorough introduction to the most commonly used methods of numerical linear algebra and optimisation. The prerequisites are some familiarity with the basic properties of matrices, finite-dimensional vector spaces, advanced calculus, and some elementary notations from functional analysis. The book is in two parts. The first deals with numerical linear algebra (review of matrix theory, direct and iterative methods for solving linear systems, calculation of eigenvalues and eigenvectors) and the second, optimisation (general algorithms, linear and nonlinear programming). The author has based the book on courses taught for advanced undergraduate and beginning graduate students and the result is a well-organised and lucid exposition. Summaries of basic mathematics are provided, proofs of theorems are complete yet kept as simple as possible, and applications from physics and mechanics are discussed. Professor Ciarlet has also helpfully provided over 40 line diagrams, a great many applications, and a useful guide to further reading. This excellent textbook, which is translated and revised from the very successful French edition, will be of great value to students of numerical analysis, applied mathematics and engineering.
目次
- Preface
- Part I. Numerical Linear Algebra: 1. A summary of results on matrices
- 2. General results in the numerical analysis of matrices
- 3. Sources of problems in the numerical analysis of matrices
- 4. Direct methods for the solution of linear systems
- 5. Iterative methods for the solution of linear systems
- 6. Methods for the calculation of eigenvalues and eigenvectors
- Part II. Optimisation: 7. A review of differential calculus. Some applications
- 8. General results on optimisation. Some algorithms
- 9. Introduction to non-linear programming
- 10. Linear programming
- Bibliography and comments
- Main notations used
- Index.
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