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Designed for those people who want to gain a practical knowledge of modern techniques, this book contains all the material necessary for a course on the numerical solution of differential equations. Written by two of the field's leading authorities, it provides a unified presentation of initial value and boundary value problems in ODEs as well as differential-algebraic equations. The approach is aimed at a thorough understanding of the issues and methods for practical computation while avoiding an extensive theorem-proof type of exposition. It also addresses reasons why existing software succeeds or fails. This is a practical and mathematically well informed introduction that emphasizes basic methods and theory, issues in the use and development of mathematical software, and examples from scientific engineering applications. Topics requiring an extensive amount of mathematical development are introduced, motivated, and included in the exercises, but a complete and rigorous mathematical presentation is referenced rather than included.
' … All in all, the book, which also contains many examples and pointers to software, is excellent as an introduction to the field and definitely suitable for introductory courses at senior undergraduate or beginning graduate level.' C. Bendtsen, Zentralblatt für Mathematik
'I found the book recommendable and very readable. Moreoever, the layout is a feast for the eyes, showing the possibilities of a careful LaTex design.' Michael Hanke, Mathematical Reviews
Contains all the material necessary for a course on the numerical solution of differential equations. Provides a unified presentation of initial value and boundary value problems in ODEs as well as differential-algebraic equations, offering an understanding of practical computation while avoiding an extensive theorem-proof type of exposition. Emphasizes basic methods and theory, issues in use and development of mathematical software, and examples from scientific engineering applications. Includes chapter exercises. For senior undergraduate and beginning graduate students with a computational focus. A beginning course on numerical analysis is required, and a course in ordering differential equations is helpful. Annotation c. by Book News, Inc., Portland, Or.
Preface; Part I. Introduction: 1. Ordinary differential equations; Part II. Initial Value Problems: 2. On problem stability; 3. Basic methods, basic concepts; 4. One-step methods; 5. Linear multistep methods; Part III. Boundary Value Problems: 6. More boundary value problem theory and applications; 7. Shooting; 8. Finite difference methods for boundary value problems; Part IV. Differential-Algebraic Equations: 9. More on differential-algebraic equations; 10. Numerical methods for differential-algebraic equations; Bibliography; Index.