Numerical Methods

George R. Lindfield

ISBN 10: 0123869420 / ISBN 13: 9780123869425

Published by Academic Press Okt 2014, 2014

About this Item

This item is printed on demand - it takes 3-4 days longer - Neuware -Numerical Methods using MATLAB, 3e, is an extensive reference offering hundreds of useful and important numerical algorithms that can be implemented into MATLAB for a graphical interpretation to help researchers analyze a particular outcome. Many worked examples are given together with exercises and solutions to illustrate how numerical methods can be used to study problems that have applications in the biosciences, chaos, optimization, engineering and science across the board.Over 500 numerical algorithms, their fundamental principles, and applicationsGraphs are used extensively to clarify the complexity of problemsIncludes coded genetic algorithmsIncludes the Lagrange multiplier methodUser-friendly and written in a conversational style 552 pp. Englisch.

Seller Inventory # 9780123869425

Bibliographic Details

• Title: Numerical Methods
• Publisher: Academic Press Okt 2014
• Publication Date: 2014
• Language: English
• ISBN 10: 0123869420
• ISBN 13: 9780123869425
• Binding: Taschenbuch
• Edition: 3rd Edition
• Condition: Neu
• Dimensions: 235W x 191H x 33D millimeters 235 millimeters width by 191 millimeters height by 33 millimeters depth
• Weight: 1130 grams

About this title

Synopsis

Numerical Methods using MATLAB, 3e, is an extensive reference offering hundreds of useful and important numerical algorithms that can be implemented into MATLAB for a graphical interpretation to help researchers analyze a particular outcome. Many worked examples are given together with exercises and solutions to illustrate how numerical methods can be used to study problems that have applications in the biosciences, chaos, optimization, engineering and science across the board.

• Over 500 numerical algorithms, their fundamental principles, and applications
• Graphs are used extensively to clarify the complexity of problems
• Includes coded genetic algorithms
• Includes the Lagrange multiplier method
• User-friendly and written in a conversational style

About the Authors

George Lindfield is a former lecturer in Mathematics and Computing at the School of Engineering and Applied Science, Aston University in the United Kingdom.

John Penny is an Emeritus Professor of Mechanical Engineering at the School of Engineering and Applied Science, Aston University in the United Kingdom.