Numerical Algebra
eBook - PDF

Numerical Algebra

  1. 216 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

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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Yes, you can access Numerical Algebra by John Todd, Ch. Blanc,A. Ghizzetti,P. Henrici in PDF and/or ePUB format, as well as other popular books in Mathematics & Applied Mathematics. We have over one million books available in our catalogue for you to explore.

Information

Table of contents

  1. Front Cover
  2. Numerical Algebra
  3. Copyright Page
  4. Table of Contents
  5. Notations and Abbreviations
  6. Preface
  7. Basic Numerical Mathematics
  8. CHAPTER 1. Manipulation of Vectors and Matrices
  9. CHAPTER 2. Norms of Vectors and Matrices
  10. CHAPTER 3. Induced Norms
  11. CHAPTER 4. The Inversion Problem I: Theoretical Arithmetic
  12. CHAPTER 5. The Inversion Problem II: Practical Computation
  13. CHAPTER 6. The Characteristic Value Problem—Generalities
  14. CHAPTER 7. The Power Method, Deflation, Inverse Iteration
  15. CHAPTER 8. Characteristic Values
  16. CHAPTER 9. Iterative Methods for the Solution of Systems Ax ═ b
  17. CHAPTER 10. Application: Solution of a Boundary Value Problem
  18. CHAPTER 11. Application: Least Squares Curve Fitting
  19. CHAPTER 12. Singular Value Decomposition and Pseudo-Inverses
  20. Solutions to Selected Problems
  21. Bibliographical Remarks
  22. Index