This accessible book acquaints students of science and engineering with the potentialities of the modern computer for solving the numerical problems that will arise in their careers. It also gives students an opportunity to hone their skills in programming and problem solving, helps them arrive at an understanding of the important subject of errors that inevitably accompanies scientific computing, and arms them with methods for detecting, predicting, and controlling these errors. A less scholarly approach and a different menu of topics sets Numerical Mathematics and Computing, Third Edition, apart from the authors' highly regarded text: Numerical Analysis: Mathematics of Scientific Computing, Second Edition.
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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).
"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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