Numerical Solution of Ordinary Differential Equations
โ Scribed by Leon Lapidus and John H. Seinfeld (Eds.)
- Publisher
- AP
- Year
- 1971
- Tongue
- English
- Leaves
- 304
- Series
- Mathematics in Science and Engineering 74
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
In this book, we study theoretical and practical aspects of computing methods for mathematical modelling of nonlinear systems. A number of computing techniques are considered, such as methods of operator approximation with any given accuracy; operator interpolation techniques including a non-Lagrange interpolation; methods of system representation subject to constraints associated with concepts of causality, memory and stationarity; methods of system representation with an accuracy that is the best within a given class of models; methods of covariance matrix estimation; methods for low-rank matrix approximations; hybrid methods based on a combination of iterative procedures and best operator approximation; and methods for information compression and filtering under condition that a filter model should satisfy restrictions associated with causality and different types of memory. As a result, the book represents a blend of new methods in general computational analysis, and specific, but also generic, techniques for study of systems theory ant its particular branches, such as optimal filtering and information compression. - Best operator approximation, - Non-Lagrange interpolation, - Generic Karhunen-Loeve transform - Generalised low-rank matrix approximation - Optimal data compression - Optimal nonlinear filtering
โฆ Table of Contents
Content:
Edited by
Page iii
Copyright page
Page iv
Dedication
Page v
Preface
Pages xi-xii
1 Fundamental Definitions and Equations
Pages 1-38
2 Runge-Kutta and Allied Single-Step Methods
Pages 39-106
3 Stability of Multistep and Runge-Kutta Methods
Pages 107-151
4 Predictor-Corrector Methods
Pages 152-241
5 Extrapolation Methods
Pages 242-266
6 Numerical Integration of Stiff Ordinary Differential Equations
Pages 267-293
Index
Pages 295-299
๐ SIMILAR VOLUMES
A concise introduction to numerical methodsand the mathematical framework neededto understand their performanceNumerical Solution of Ordinary Differential Equations presents a complete and easy-to-follow introduction to classical topics in the numerical solution of ordinary differential equations. T
A concise introduction to numerical methodsand the mathematical framework neededto understand their performanceNumerical Solution of Ordinary Differential Equations presents a complete and easy-to-follow introduction to classical topics in the numerical solution of ordinary differential equations. T
<p>Nearly 20 years ago we produced a treatise (of about the same length as this book) entitled Computing methods for scientists and engineers. It was stated that most computation is performed by workers whose mathematical training stopped somewhere short of the 'professional' level, and that some bo
Learn to write programs to solve ordinary and partial differential equations The Second Edition of this popular text provides an insightful introduction to the use of finite difference and finite element methods for the computational solution of ordinary and partial differential equations.