Solving Ordinary Differential Equations I: Nonstiff Problems (Springer Series in Computational Mathematics) | 
| Authors: Ernst Hairer, Syvert P. Norsett, Gerhard Wanner
Publisher: Springer
Category: Book
List Price: $109.00
Buy New: $82.00
You Save: $27.00 (25%)
New (19) Used (4) from $82.00
Avg. Customer Rating:  1 reviews
Sales Rank: 482561
Media: Hardcover
Edition: 2nd
Number Of Items: 1
Pages: 528
Shipping Weight (lbs): 2
Dimensions (in): 9.5 x 6.5 x 1.4
ISBN: 3540566708
Dewey Decimal Number: 515
EAN: 9783540566700
ASIN: 3540566708
Publication Date: May 2008
Availability: Usually ships in 1-2 business days
Shipping: Expedited shipping available
Condition: New!!!
|
| Also Available In:
|
| Similar Items:
|
| Editorial Reviews:
Product Description
This book deals with methods for solving nonstiff ordinary differential equations. The first chapter describes the historical development of the classical theory from Newton, Leibniz, Euler, and Hamilton to limit cycles and strange attractors. In a second chapter a modern treatment of Runge-Kutta and extrapolation methods is given. Also included are continuous methods for dense output, parallel Runge-Kutta methods, special methods for Hamiltonian systems, second order differential equations and delay equations. The third chapter begins with the classical theory of multistep methods, and concludes with the theory of general linear methods. Many applications from physics, chemistry, biology, and astronomy together with computer programs and numerical comparisons are presented. This new edition has been rewritten, errors have been eliminated and new material has been included. The book will be immensely useful to graduate students and researchers in numerical analysis and scientific computing, and to scientists in the fields mentioned above.
|
| Customer Reviews:
Solving Differential Equations: Nonstiff Problem April 11, 2000
4 out of 20 found this review helpful
I bought this book just because I have been using MATLAB's ODE function to simulate my physiological models. The MATLAB mannual recommend it. Although I found its content very useful for me, it is too much mathematics. Maybe it is the best book for mathematics major, but not for a non-mathematics major. As a Engineering major, I even find it difficult to read sometimes. I've got the book about two years, but have not finished to read it yet.
|
|
|
