Time-Dependent Processes in Science and Engineering * Existence and Uniqueness for Initial-Value Problems * Condition of Initial Value Problems * One-Step Methods for Nonstiff IVPs * Adaptive Control of One-Step Methods * One-step Methods for Stiff ODE and DAE IVPs * Multistep Methods for ODE and D
Scientific Computing with Ordinary Differential Equations
โ Scribed by Peter Deuflhard, Folkmar Bornemann, W.C. Rheinboldt
- Publisher
- Springer
- Year
- 2002
- Tongue
- English
- Leaves
- 504
- Edition
- 2002
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Subjects
ะะฐัะตะผะฐัะธะบะฐ;ะััะธัะปะธัะตะปัะฝะฐั ะผะฐัะตะผะฐัะธะบะฐ;
๐ SIMILAR VOLUMES
<p>Many interesting behaviors of real physical, biological, economical, and chemical systems can be described by ordinary differential equations (ODEs). Scientific Computing with Mathematica for Ordinary Differential Equations provides a general framework useful for the applications, on the conceptu
<P>This book developed over 20 years of the author teaching the course at his own university. It serves as a text for a graduate level course in the theory of ordinary differential equations, written from a dynamical systems point of view. It contains both theory and applications, with the applicati
Based on a one-year course taught by the author to graduates at the University of Missouri, this book provides a student-friendly account of some of the standard topics encountered in an introductory course of ordinary differential equations. In a second semester, these ideas can be expanded by intr
Based on a one-year course taught by the author to graduates at the University of Missouri, this book provides a student-friendly account of some of the standard topics encountered in an introductory course of ordinary differential equations. In a second semester, these ideas can be expanded by intr
Based on a one-year course taught by the author to graduates at the University of Missouri, this book provides a student-friendly account of some of the standard topics encountered in an introductory course of ordinary differential equations. In a second semester, these ideas can be expanded by intr