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