Numerical Analysis - Sauer, Timothy
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The most readable and relevant numerical analysis text is now infused with web links at point-of-use.
Numerical Analysis, 3rd Edition is written for students of engineering, science, mathematics, and computer science who have completed elementary calculus and matrix algebra. The book covers both standard topics and some of the more advanced numerical methods used by computational scientists and engineers, while maintaining a level appropriate for undergraduates.
Students learn to construct and explore algorithms for solving science and engineering problems while situating these…mehr

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Produktbeschreibung
The most readable and relevant numerical analysis text is now infused with web links at point-of-use.

Numerical Analysis, 3rd Edition is written for students of engineering, science, mathematics, and computer science who have completed elementary calculus and matrix algebra. The book covers both standard topics and some of the more advanced numerical methods used by computational scientists and engineers, while maintaining a level appropriate for undergraduates.

Students learn to construct and explore algorithms for solving science and engineering problems while situating these algorithms in a landscape of some potent and far-reaching principles. Specifically, the author cultivates a grasp of the fundamental concepts that permeate numerical analysis, including convergence, complexity, conditioning, compression, orthogonality, and its competing concerns of accuracy and efficiency.

MATLAB-« software is used both for exposition of algorithms and as a suggested platform for student assignments and projects. The 3rd Edition is web enhanced, with over 200 short URLs that take students beyond the book to useful digital resources created to support their use of the text.

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Autorenporträt
Timothy Sauer earned his Ph.D. in mathematics at the University of California-Berkeley in 1982, and is currently a professor at George Mason University. He has published articles on a wide range of topics in applied mathematics, including dynamical systems, computational mathematics, and mathematical biology.