Format:
1 Online-Ressource (x, 433 pages)
,
digital, PDF file(s)
ISBN:
9780511801181
Content:
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
Note:
Title from publisher's bibliographic system (viewed on 05 Oct 2015)
Additional Edition:
ISBN 9780521810265
Additional Edition:
ISBN 9780521007948
Additional Edition:
Erscheint auch als Druck-Ausgabe ISBN 9780521810265
Language:
English
DOI:
10.1017/CBO9780511801181
URL:
Volltext
(lizenzpflichtig)
