| Classical and Modern Numerical Analysis: Theory, Methods and Practice Contributor(s): Ackleh, Azmy S. (Author), Allen, Edward James (Author), Kearfott, R. Baker (Author) |
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ISBN: 1420091573 ISBN-13: 9781420091571 Publisher: CRC Press OUR PRICE: $161.50 Product Type: Hardcover - Other Formats Published: July 2009 Annotation: Using MATLAB(R) throughout, this textbook presents a clear, solid introduction to the theory and application of computational methods for the practical use in everyday computing. It prepares graduate students taking doctoral examinations on numerical analysis and provides a solid foundation in numerical analysis for more specialized topics, such as finite element theory and advanced numerical linear algebra. The text features interval computing in numerical analysis, including coverage of interval arithmetic, interval computation, and interval algorithms. It also includes many analytical and computational exercises to illustrate how the theory and methods can be best applied. |
| Additional Information |
| BISAC Categories: - Mathematics | Mathematical Analysis - Mathematics | Number Systems - Mathematics | Applied |
| Dewey: 518 |
| LCCN: 2009019963 |
| Series: Chapman & Hall/CRC Numerical Analysis and Scientific Computing |
| Physical Information: 1.5" H x 6" W x 9.3" (2.24 lbs) 628 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: Classical and Modern Numerical Analysis: Theory, Methods and Practice provides a sound foundation in numerical analysis for more specialized topics, such as finite element theory, advanced numerical linear algebra, and optimization. It prepares graduate students for taking doctoral examinations in numerical analysis. The text covers the main areas of introductory numerical analysis, including the solution of nonlinear equations, numerical linear algebra, ordinary differential equations, approximation theory, numerical integration, and boundary value problems. Focusing on interval computing in numerical analysis, it explains interval arithmetic, interval computation, and interval algorithms. The authors illustrate the concepts with many examples as well as analytical and computational exercises at the end of each chapter. This advanced, graduate-level introduction to the theory and methods of numerical analysis supplies the necessary background in numerical methods so that students can apply the techniques and understand the mathematical literature in this area. Although the book is independent of a specific computer program, MATLAB(R) code is available on the authors' website to illustrate various concepts. |