Автор: James F. Epperson
Издательство: Wiley
Год: 2021
Страниц: 294
Язык: английский
Формат: epub
Размер: 14.9 MB
A solutions manual to accompany An Introduction to Numerical Methods and Analysis, Third Edition.
An Introduction to Numerical Methods and Analysis helps students gain a solid understanding of a wide range of numerical approximation methods for solving problems of mathematical analysis. Designed for entry-level courses on the subject, this popular textbook maximizes teaching flexibility by first covering basic topics before gradually moving to more advanced material in each chapter and section. Throughout the text, students are provided clear and accessible guidance on a wide range of numerical methods and analysis techniques, including root-finding, numerical integration, interpolation, solution of systems of equations, and many others.
This fully revised third edition contains new sections on higher-order difference methods, the bisection and inertia method for computing eigenvalues of a symmetric matrix, a completely re-written section on different methods for Poisson equations, and spectral methods for higher-dimensional problems. New problem sets—ranging in difficulty from simple computations to challenging derivations and proofs—are complemented by computer programming exercises, illustrative examples, and sample code. Most of the programming was done in MATLAB, some in FORTRAN. This acclaimed textbook:
Explains how to both construct and evaluate approximations for accuracy and performance
Covers both elementary concepts and tools and higher-level methods and solutions
Features new and updated material reflecting new trends and applications in the field
Contains an introduction to key concepts, a calculus review, an updated primer on computer arithmetic, a brief history of scientific computing, a survey of computer languages and software, and a revised literature review
Includes an appendix of proofs of selected theorems and author-hosted companion website with additional exercises, application models, and supplemental resources
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