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Numerical analysis

Author: Richard L Burden; J Douglas Faires
Publisher: Boston : PWS-Kent Pub. Co., ©1993.
Series: The Prindle, Weber & Schmidt series in mathematics.
Edition/Format:   Print book : English : Fifth editionView all editions and formats
Database:WorldCat
Summary:
Gives an introduction to the modern approximation techniques and explains how, why, and when the techniques can be expected to work. The authors focus on building students' intuition to help them understand why the techniques presented work in general, and why, in some situations, they fail. With a wealth of examples and exercises, the text demonstrates the relevance of numerical analysis to a variety of disciplines  Read more...
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Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: Richard L Burden; J Douglas Faires
ISBN: 0534932193 9780534932190
OCLC Number: 26546859
Description: xiv, 768 pages : illustrations (some colored) ; 24 cm.
Contents: Mathematical preliminaries --
Solutions of equations in one variable --
Interpolation and polynomial approximation --
Numerical differentiation and integration --
Initial-value problems for ordinary differential equations --
Direct methods for solving linear systems --
Iterative techniques in matrix algebra --
Approximation theory --
Approximating eigenvalues --
Numerical solutions of nonlinear systems of equations --
Boundary-value problems for ordinary differential equations --
Numerical solutions to partial-differential equations.
Series Title: The Prindle, Weber & Schmidt series in mathematics.
Responsibility: Richard L. Burden, J. Douglas Faires.
More information:

Abstract:

Gives an introduction to the modern approximation techniques and explains how, why, and when the techniques can be expected to work. The authors focus on building students' intuition to help them understand why the techniques presented work in general, and why, in some situations, they fail. With a wealth of examples and exercises, the text demonstrates the relevance of numerical analysis to a variety of disciplines and provides ample practice for students. The applications chosen demonstrate concisely how numerical methods can be, and often must be, applied in real-life situations.

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