
- 216 pages
- English
- PDF
- Available on iOS & Android
Numerical Algebra
About this book
Basic Numerical Mathematics, Volume II: Numerical Algebra focuses on numerical algebra, with emphasis on the ideas of "controlled computational experiments" and "bad examples". The existence of an orthogonal matrix which diagonalizes a real symmetric matrix is highlighted, and partitioned or block matrices are discussed, along with induced norms and inversion problems. Comprised of 12 chapters, this volume begins with an overview of the manipulation of vectors and matrices, followed by an analysis of induced norms. The reader is then introduced to the direct solution of the inversion problem, first in the context of theoretical arithmetic (that is, when round-off is disregarded) and second in the context of practical computation. Various methods of handling the characteristic value problems are also considered, together with several iterative methods for the solution of a system of linear equations. Two applications are described: the solution of a two-point boundary value problem and the solution of least squares curve fitting. The book concludes with an account of the singular value decomposition and pseudo-inverses. This monograph will be of interest to mathematicians and students of mathematics.
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Information
Table of contents
- Front Cover
- Numerical Algebra
- Copyright Page
- Table of Contents
- Notations and Abbreviations
- Preface
- Basic Numerical Mathematics
- CHAPTER 1. Manipulation of Vectors and Matrices
- CHAPTER 2. Norms of Vectors and Matrices
- CHAPTER 3. Induced Norms
- CHAPTER 4. The Inversion Problem I: Theoretical Arithmetic
- CHAPTER 5. The Inversion Problem II: Practical Computation
- CHAPTER 6. The Characteristic Value ProblemāGeneralities
- CHAPTER 7. The Power Method, Deflation, Inverse Iteration
- CHAPTER 8. Characteristic Values
- CHAPTER 9. Iterative Methods for the Solution of Systems Ax ā b
- CHAPTER 10. Application: Solution of a Boundary Value Problem
- CHAPTER 11. Application: Least Squares Curve Fitting
- CHAPTER 12. Singular Value Decomposition and Pseudo-Inverses
- Solutions to Selected Problems
- Bibliographical Remarks
- Index