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Home > Education > Mathematics > Numerical Methods for Ordinary Differential Equations

Numerical Methods for Ordinary Differential Equations

by Butcher, John
 
 
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Numerical Methods for Ordinary Differential Equations
Authored by one of the world’s leading authorities on numerical methods this update of one of the standard references on numerical analysis, outlines recent developments in the field and presenting a detailed overview of the area. The only book to provide both a detailed treatment of Runge-Kutta methods and a thorough exposition of general linear methods, it also provides practical guidance on solving equations associated with general linear methods, thus providing assistance to those who wish to develop their own computer code.
  • Accompanied by a website hosting solutions to problems and slides for use in teaching
  • Illustrated throughout by worked examples of key algorithms.
  • Presents practical guidance on solving equations associated with general linear methods
  • Gives an introductory overview of the field before going on to describe recent developments.
  • All methods are illustrated with detailed examples and problems sets.


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Title of ebook: Numerical Methods for Ordinary Differential Equations
ISBN: 9780470753750
parent-ISBN: 9780470723357
Publisher: John Wiley & Sons, Ltd.
Internet download file size: 4063 kb
Pages: 482
Published: 05-2008
Released online for download: 05-30-2008
Author of eBook: Butcher, John
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Numerical Methods for Ordinary Differential Equations


Chapter One

Differential and Difference Equations

10 Differential Equation Problems

100 Introduction to differential equations

As essential tools in scientific modelling, differential equations are familiar to every educated person. In this introductory discussion we do not attempt to restate what is already known, but rather to express commonly understood ideas in the style that will be used for the rest of this book.

The aim will always be to understand, as much as possible, what we expect to happen to a quantity which satisfies a differential equation. At the most obvious level, this means predicting the value this quantity will have at some future time. However, we are also interested in more general questions such as the adherence to possible conservation laws or perhaps stability of the long-term solution. Since we emphasize numerical methods, we often discuss problems with known solutions mainly to illustrate qualitative and numerical behaviour.

Even though we sometimes refer to 'time' as the independent v ... read full excerpt from Numerical Methods for Ordinary Differential Equations ebook



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