ISBN 9788131519523,Numerical Mathematics And Computing

Numerical Mathematics And Computing

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ISBN 9788131519523
Publisher

Cengage Learning India Pvt Ltd

Publication Year 2013
ISBN-13

ISBN 9788131519523

ISBN-10 813151952X
Binding

Paper Back

Edition 7th
Number of Pages 710 Pages
Language (English)
Subject

Computing

Authors Ward Cheney and David Kincaid show students of science and engineering the potential computers have for solving numerical problems and give them ample opportunities to hone their skills in programming and problem solving. NUMERICAL MATHEMATICS AND COMPUTING, 7E, also helps students learn about errors that inevitably accompany scientific computations and arms them with methods for detecting, predicting, and controlling these errors.

Salient Features
More Accessible: Computer codes and other material are now included on the text website--giving you and your students easy access without tedious typing. Matlab, Mathematica, and Maple computer codes and the Overview of Mathematical Software appendix are all now available online.
Visual Learning: Because concrete codes and visual aids are helpful to every reader, the authors have added even more figures and numerical examples throughout the text--ensuring students gain solid understanding before advancing to new topics.
Comprehensive, Current and Cutting Edge: Completely updated, the new edition includes new sections and material on such topics as the modified false position method, the conjugate gradient method, Simpsons method, and more.
Hands-On Applications: Giving students myriad opportunities to put chapter concepts into real practice, additional exercises involving applications are presented throughout.
References: Citation to recent references reflects the latest developments from the field.
Appendices: Reorganized and revamped, new appendices offer a wealth of supplemental material, including advice on good programming practices, coverage of numbers in different bases, details on IEEE floating-point arithmetic, and discussions of linear algebra concepts and notation.
UPDATED! The Solving Systems of Linear Equations chapter has been moved earlier in the text to provide more clarity throughout the text.
NEW! Exercises, computer exercises, and application exercises have been added to the text.
NEW! A section of Fourier Series and Fast Fourier Transforms has been added.
The first two chapters in the previous edition on Mathematical Preliminaries, Taylor Series, Oating-Point Representation, and Errors have been combined into a single introductory chapter to allow instructors and students to move quickly.
Some sections and material have been re-moved from the new edition such as the introductory section on numerical integration. Some material and many bibliographical items have been moved from the textbook to the website.
The two chapters, in the previous edition, on Ordinary Differential Equations have been combined into one chapter.
Many of the pseudocodes from the text have been programmed in MATLAB, Mathematica, and Maple and appear in the website so that they are easily accessible.
More figures and numerical examples have been added.

About the Author
Ward Cheney is Professor of Mathematics at the University of Texas at Austin. His research interests include approximation theory, numerical analysis, and extremum problems.

David Kincaid is Senior Lecturer in the Department of Computer Sciences at the University of Texas at Austin. Also, he is the Interim Director of the Center for Numerical Analysis (CNA) within the Institute for Computational Engineering and Sciences (ICES).

Table of Contents
1. Introduction.
2. Floating-Point Representation And Errors.
3. Locating Roots Of Equations.
4. Interpolation And Numerical Differentiation.
5. Numerical Integration.
6. Additional Topics On Numerical Integration.
7. Systems Of Linear Equations.
8. Additional Topics Concerning Systems Of Linear Equations.
9. Approximation By Spline Functions.
10. Ordinary Differential Equations.
11. Systems Of Ordinary Differential Equations.
12. Smoothing Of Data And The Method Of Least Squares.
13. Monte Carlo Methods And Simulation.
14. Boundary-Value Problems For Ordinary Differential Equations.
15. Partial Differential Equations.
16. Minimization Of Functions.
17. Linear Programming.
Appendix A. Advice On Good Programming Practices.
Appendix B. Representation Of Numbers In Different Bases.
Appendix C. Additional Details On Ieee Floating-Point Arithmetic.
Appendix D. Linear Algebra Concepts And Notation.
Answers For Selected Problems.
Bibliography.
Index
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