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Numerical Methods for Ordinary Differential Equations : Initial Value Problems / by David F. Griffiths, Desmond J. Higham.

Springer Nature - Complete eBooks Available online

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Format:
Book
Author/Creator:
Griffiths, D. F. (David Francis), author.
Higham, Desmond J., 1964- author.
Contributor:
SpringerLink (Online service)
Series:
Springer undergraduate mathematics series 1615-2085
Springer Undergraduate Mathematics Series, 1615-2085
Language:
English
Subjects (All):
Numerical analysis.
Numerical Analysis.
Numeric Computing.
Local Subjects:
Numerical Analysis.
Numeric Computing.
Physical Description:
1 online resource.
Edition:
First edition 2010.
Contained In:
Springer Nature eBook
Place of Publication:
London : Springer London : Imprint: Springer, 2010.
System Details:
text file PDF
Summary:
Numerical Methods for Ordinary Differential Equations is a self-contained introduction to a fundamental field of numerical analysis and scientific computation. Written for undergraduate students with a mathematical background, this book focuses on the analysis of numerical methods without losing sight of the practical nature of the subject. It covers the topics traditionally treated in a first course, but also highlights new and emerging themes. Chapters are broken down into `lecture' sized pieces, motivated and illustrated by numerous theoretical and computational examples. Over 200 exercises are provided and these are starred according to their degree of difficulty. Solutions to all exercises are available to authorized instructors. The book covers key foundation topics: o Taylor series methods o Runge-Kutta methods o Linear multistep methods o Convergence o Stability and a range of modern themes: o Adaptive stepsize selection o Long term dynamics o Modified equations o Geometric integration o Stochastic differential equations The prerequisite of a basic university-level calculus class is assumed, although appropriate background results are also summarized in appendices. A dedicated website for the book containing extra information can be found via www.springer.com.
Contents:
ODEs-An Introduction
Euler's Method
The Taylor Series Method
Linear Multistep Methods-I: Construction and Consistency
Linear Multistep Methods-II: Convergence and Zero-Stability
Linear Multistep Methods-III: Absolute Stability
Linear Multistep Methods-IV: Systems of ODEs
Linear Multistep Methods-V: Solving Implicit Methods
Runge-Kutta Method-I: Order Conditions
Runge-Kutta Methods-II Absolute Stability
Adaptive Step Size Selection
Long-Term Dynamics
Modified Equations
Geometric Integration Part I-Invariants
Geometric Integration Part II-Hamiltonian Dynamics
Stochastic Differential Equations.
Other Format:
Printed edition:
ISBN:
9780857291486
Access Restriction:
Restricted for use by site license.

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