An Introduction to Numerical Analysis

David F. Mayers

ISBN 10: 0521007941 / ISBN 13: 9780521007948

Published by Cambridge University Press, 2003

About this Item

Druck auf Anfrage Neuware - Printed after ordering - 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.

Seller Inventory # 9780521007948

Bibliographic Details

• Title: An Introduction to Numerical Analysis
• Publisher: Cambridge University Press
• Publication Date: 2003
• Language: English
• ISBN 10: 0521007941
• ISBN 13: 9780521007948
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 229W x 152H x 24D millimeters 229 millimeters width by 152 millimeters height by 24 millimeters depth
• Weight: 639 grams

About this title

Synopsis

This textbook is written primarily for undergraduate mathematicians and also appeals to students working at an advanced level in other disciplines. The text begins with a clear motivation for the study of numerical analysis based on real-world problems. The authors then develop the necessary machinery including iteration, interpolation, boundary-value problems and finite elements. Throughout, the authors keep an eye on the analytical basis for the work and add historical notes on the development of the subject. There are numerous exercises for students.

About the Author

Endre Suli is a Professor of Numerical Analyis at Oxford University Computing Laboratory and a Fellow of Linacre College.