Numerical Analysis. A Second Course
โ Scribed by James M. Ortega and Werner Rheinboldt (Auth.)
- Publisher
- Elsevier Inc, Academic Press Inc
- Year
- 1972
- Tongue
- English
- Leaves
- 201
- Series
- Computer science and applied mathematics
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
Addresses some of the basic questions in numerical analysis: convergence theorems for iterative methods for both linear and nonlinear equations; discretization error, especially for ordinary differential equations; rounding error analysis; sensitivity of eigenvalues; and solutions of linear equations with respect to changes in the data
โฆ Table of Contents
Content:
Computer Science and Applied Mathematics: A SERIES OF MONOGRAPHS AND TEXTBOOKS, Page ii
Front Matter, Page iii
Copyright, Page iv
Dedication, Page v
PREFACE, Pages xi-xii
LIST OF COMMONLY USED SYMBOLS, Page xiii
INTRODUCTION, Pages 1-4
CHAPTER 1 - LINEAR ALGEBRA, Pages 5-27
INTRODUCTION TO MATHEMATICAL STABILITY AND ILL CONDITIONING, Page 29
CHAPTER 2 - SYSTEMS OF LINEAR ALGEBRAIC EQUATIONS, Pages 31-41
CHAPTER 3 - EIGENVALUES AND EIGENVECTORS, Pages 42-63
CHAPTER 4 - DIFFERENTIAL AND DIFFERENCE EQUATIONS, Pages 64-78
INTRODUCTION TO DISCRETIZATION ERROR, Page 79
CHAPTER 5 - DISCRETIZATION ERROR FOR INITIAL VALUE PROBLEMS, Pages 81-95
CHAPTER 6 - DISCRETIZATION ERROR FOR BOUNDARY VALUE PROBLEMS, Pages 96-114
INTRODUCTION TO CONVERGENCE OF ITERATIVE METHODS, Page 115
CHAPTER 7 - SYSTEMS OF LINEAR EQUATIONS, Pages 117-139
CHAPTER 8 - SYSTEMS OF NONLINEAR EQUATIONS, Pages 140-166
INTRODUCTION TO ROUNDING ERROR, Page 167
CHAPTER 9 - ROUNDING ERROR FOR GAUSSIAN ELIMINATION, Pages 169-193
BIBLIOGRAPHY, Page 195
INDEX, Pages 197-201
๐ SIMILAR VOLUMES
Outstanding text treats numerical analysis with mathematical rigor, but relatively few theorems and proofs. Oriented toward computer solutions of problems, it stresses errors in methods and computational efficiency. Problems โ some strictly mathematical, others requiring a computer โ appear at the e
This republication addresses some of the basic questions in numerical analysis: convergence theorems for iterative methods for both linear and nonlinear equations; discretization error, especially for ordinary differential equations; rounding error analysis; sensitivity of eigenvalues; and solutions
<p><span>This book aims to introduce graduate students to the many applications of numerical computation, explaining in detail both how and why the included methods work in practice. The text addresses numerical analysis as a middle ground between practice and theory, addressing both the abstract ma