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
... 65, 66, 72, 105, 151, 153, 181, 292, 308, 317, 319, 377, 401 estimation, 85, 184, 374, 393 per step, 293 per unit step, 293, 294 rounding, 74 Euler L., 45 existence and uniqueness, 23 Fehlberg E., 181, 191 Feng Kang, xiii finger, ...
J. Baumgarte. “Stabilization of constraints and integrals of motion in dynamical systems”, Computer Methods in Applied Mechanics and ... J.C. Butcher. “Implicit Runge-Kutta processes”, Math. Comp. 18 (1964), pp. 50-64. J .C. Butcher.
This is a valuable text for students, who will find the derivations of the numerical methods extremely helpful and the programs themselves easy to use.
This is a textbook for a one semester course on numerical analysis for senior undergraduate or beginning graduate students with no previous knowledge of the subject.
There exist a number of good introductory texts on multigrid techniques, e.g. Briggs (1987); Hackbusch (1985) and Wesseling (1992). Convergence and complexity (in the ... Briggs, W.L. (1987), A Multigrid Tutorial, SIAM, Philadelphia.
Developments in numerical initial value ode methods were the focal topic of the meeting at L'Aquila which explord the connections between the classical background and new research areas such as differental-algebraic equations, delay ...
The text is intended for undergraduates in mathematics, computer science, or engineering courses, andfor postgraduate students or researchers in related disciplines.
A step-by-step treatment of differential equations and their solution via numerical methods. Begining by examining differential calculus on a vector space, graphs, and combinatorics then looks at numerical methods for...
This new work is an introduction to the numerical solution of the initial value problem for a system of ordinary differential equations.
This book shows how to derive, test and analyze numerical methods for solving differential equations, including both ordinary and partial differential equations.