An introduction to numerical analysis
 Responsibility
 Endre Süli and David F. Mayers.
 Language
 English.
 Edition
 Reprinted with corrections.
 Imprint
 Cambridge ; New York : Cambridge University Press, 2007.
 Physical description
 x, 433 p. : ill. ; 23 cm.
Access
Available online
 Cambridge Core Access limited to one user.
Math & Statistics Library
Stacks
Call number  Status 

QA297 .S873 2007  Unknown 
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Creators/Contributors
 Author/Creator
 Süli, Endre, 1956
 Contributor
 Mayers, D. F. (David Francis), 1931
Contents/Summary
 Bibliography
 Includes bibliographical references and index.
 Contents

 1. Solution of equations by iteration 2. Solution of systems of linear equations 3. Special matrices 4. Simultaneous nonlinear equations 5. Eigenvalues and eigenvectors of a symmetric matrix 6. Polynomial interpolation 7. Numerical integration  I 8. Polynomial approximation in the norm 9. Approximation in the 2norm 10. Numerical integration  II 11. Piecewise polynomial approximation 12. Initial Value Problems for ODEs 13. Boundary Value Problems for ODEs 14. The Finite Element Method Appendix 1. An overview of results from real analysis Appendix 2. WWWresources.
 (source: Nielsen Book Data)9780521810265 20160528
 Publisher's Summary
 Numerical analysis provides the theoretical foundation for the numerical algorithms we rely on to solve a multitude of computational problems in science. Based on a successful course at Oxford University, this book covers a wide range of such problems ranging from the approximation of functions and integrals to the approximate solution of algebraic, transcendental, differential and integral equations. Throughout the book, particular attention is paid to the essential qualities of a numerical algorithm  stability, accuracy, reliability and efficiency. The authors go further than simply providing recipes for solving computational problems. They carefully analyse the reasons why methods might fail to give accurate answers, or why one method might return an answer in seconds while another would take billions of years. This book is ideal as a text for students in the second year of a university mathematics course. It combines practicality regarding applications with consistently high standards of rigour.
(source: Nielsen Book Data)9780521810265 20160528  Supplemental links

Sample text
Publisher description
Table of contents
Subjects
 Subject
 Numerical analysis.
Bibliographic information
 Reprint/reissue date
 2007
 Original date
 2006
 Note
 First published 2003.
 ISBN
 9780521007948
 0521007941
 0521810264
 9780521810265