A First Course in Numerical Analysis: Second Edition, Edition 2

Courier Corporation

This outstanding text by two well-known authors treats numerical analysis with mathematical rigor, but presents relatively few theorems and proofs. Oriented toward computer solutions of problems, it stresses errors in methods and computational efficiency, and it compares different solutions to the same problem.
Following an introductory chapter on sources of error and computer arithmetic, the text covers such topics as approximation and algorithms, interpolation, numerical differentiation and numerical quadrature, the numerical solution of ordinary differential equations, functional approximation by least squares and by minimum-maximum error techniques, the solution of nonlinear equations and of simultaneous linear equations, and the calculation of eigenvalues and eigenvectors of matrices.
This second edition also includes discussions of spline interpolation, adaptive integration, the fast Fourier transform, the simplex method of linear programming, and simple and double QR algorithms. Problems — some strictly mathematical, others requiring a computer — appear at the end of each chapter.
Read more

About the author

Jeffrey J. McConnell, Professor of Computer Science and department chair, has been on the faculty of Canisius College, Buffalo, since 1983 and is the author of the textbook "Analysis of Algorithms: An Active Learning Approach" (Jones & Bartlett, 2001).

Anthony Ralston is an Academic Visitor in the Department of Computing at Imperial College, London, and Professor Emeritus in the Department of Computer Science at the State University of New York at Buffalo, which he founded in 1967 and chaired until 1980. He is the author or editor of more than a dozen books on computer science and related areas, and a frequent contributor to leading books and journals in the field. He has served as president of the American Federation for Information Processing Societies and the Association for Computing Machinery. He is a recipient of the ACM's Distinguished Service Award, a Fellow of the American Association for the Advancement of Science and a Fellow of the Royal Society of Arts.

Edwin D. Reilly is Professor Emeritus of Computer Science at the State University of New York at Albany. He served as the first chairman of its computer science department when founded in 1967 and as the first director of its computing center in 1965. Prior to that time, he served in computer management positions at the General Electric Knolls Atomic Power Laboratory in Schenectady, NY. He began his career in computing at the National Security Agency in Washington in 1955. He holds the Ph.D. in physics from Rensselaer Polytechnic Institute and is currently president of his consulting firm "Cybernetic Information Systems," He is the co-author of the textbooks "Pascalgorithms" (Houghton-Mifflin) and "VAX AssemblyLanguage" (Macmillan, US). He is a member of the Association for Computing Machinery, the IEEE Computer Society, the American Physical Society, the Mathematical Association of America, Sigma Xi, and the America Association for the Advancement of Science.

David Hemmendinger is Associate Professor of Computer Science and department chair at Union College, Schenectady, New York. He has also taught computer science at Wright State University, Ohio. His interests include programming languages, concurrent programming, and formal verification of hardware designs. He began work in computer science in 1981, having previously taught philosophy at the City University of New York, and at Antioch and Kenyon Colleges. He has degrees from Harvard (B.A.) and Stanford Universities (M.S. in mathematics), Yale (M.A., Ph.D. in philosophy) and Wright State University (M.S. in computer science). He is a senior member of the IEEE, and a member of the Association for Computing Machinery, Phi Beta Kappa, and Sigma Xi.

Read more

Reviews

Loading...

Additional Information

Publisher
Courier Corporation
Read more
Published on
Apr 26, 2012
Read more
Pages
576
Read more
ISBN
9780486140292
Read more
Features
Read more
Read more
Language
English
Read more
Genres
Mathematics / Mathematical Analysis
Read more
Content Protection
This content is DRM protected.
Read more
Read Aloud
Available on Android devices
Read more

Reading information

Smartphones and Tablets

Install the Google Play Books app for Android and iPad/iPhone. It syncs automatically with your account and allows you to read online or offline wherever you are.

Laptops and Computers

You can read books purchased on Google Play using your computer's web browser.

eReaders and other devices

To read on e-ink devices like the Sony eReader or Barnes & Noble Nook, you'll need to download a file and transfer it to your device. Please follow the detailed Help center instructions to transfer the files to supported eReaders.
©2017 GoogleSite Terms of ServicePrivacyDevelopersArtistsAbout Google
By purchasing this item, you are transacting with Google Payments and agreeing to the Google Payments Terms of Service and Privacy Notice.