Numerical Analysis, 10e
Richard L. Burden, Youngstown State University;
J. Douglas Faires, Youngstown State University;
Annette M. Burden, Youngstown State University
Cengage Learning, 2016
ISBN: 978-1-305-25366-7;
Language: English
Numerical Analysis introduces the theory and application of modern numerical approximation techniques to students taking a one- or two-semester course in numerical analysis. Providing an accessible treatment that only requires a calculus prerequisite, the authors explain how, why, and when approximation techniques can be expected to work—and why, in some situations, they fail. A wealth of examples and exercises develop students' intuition, and demonstrate the subject's practical applications to important everyday problems in math, computing, engineering, and physical science disciplines.
MATLAB code files can be downloaded from the companion website for the student examples and algorithms. Symbolic Math Toolbox is required for the algorithm files.
Features
- The design of the text gives instructors flexibility in choosing topics they wish to cover, selecting the level of theoretical rigor desired, and deciding which applications are most appropriate or interesting for their classes.
- Virtually every concept in the text is illustrated by examples. In addition, concepts and examples are reinforced by more than 2500 class-tested exercises ranging from elementary applications of methods and algorithms to generalizations and extensions of the theory.
- The exercise sets include many applied problems from diverse areas of engineering, as well as from the physical, computer, biological, and social sciences.
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