Synopsis
Authors Cheney and Kincaid show students of science and engineering the modern computer's potential for solving numerical problems and gives them ample opportunity to hone their skills in programming and problem solving. The text helps students learn about errors that inevitably accompany scientific computing and arms them with methods for detecting, predicting, and controlling these errors. In this edition a discussion of how to locate codes for numerical algorithms on the World Wide Web has been added. A new section on iterative methods for solving large systems of linear equations has also been added.A less scholarly approach and a different menu of topics sets this book apart from the authors' highly regarded NUMERICAL ANALYSIS: MATHEMATICS OF SCIENTIFIC COMPUTING, SECOND EDITION.
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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).
Review
"The objectives and the goals of our course have been met using this text. We want our students to learn the importance of seeking a numerical solution to a practical problem by applying relevant algorithms and analyze the speed of convergence, reliability, and validate the solution. We want our students to write programs using the same approach starting with a careful pseudo code before coding into the computer. We want our students to be exposed to the use of computer algebra systems. We want our students to be able to work on a variety of problems. This book has definitely met all our needs. This is why we have adopted it."
"This is one of the best textbooks on elementary numerical analysis available today. The instructor can easily tailor the abundant material it offers for any particular course need. Another bright spot of this book is its myriad selections of excellently compiled exercise problems that go very well with the main text."
"This is a well written text full of excellent examples."
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Numerical Mathematics and Computing
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