Mathematical Modelling and Digital Simulation for Engineers and Scientists
2nd Edition
Published on 12. May 1987
Book
Hardback
446 pages
978-0-471-08599-7 (ISBN)
Description
An updated and expanded edition that now reflects the many recent developments in simulation and computer modeling theory and practice. Giving fast and accurate numerical methods that are ideally suited to simulating both linear and nonlinear systems for design and for 'real time' training, the book includes a new section on the use of modern numerical methods for generating chaos and simulating random processes, providing information on simulator verification and integrating material on the personal computer throughout the text. Also given are examples of computer programs in BASIC and new material on the development and application of numerical methods in both the time and frequency domains. Expanded references are also incorporated.
More details
Edition
2nd Revised edition
Language
English
Place of publication
New York
United States
Publishing group
John Wiley and Sons Ltd
Target group
College/higher education
Professional and scholarly
Edition type
Revised edition
Illustrations
index
Dimensions
Height: 230 mm
Width: 150 mm
Weight
709 gr
ISBN-13
978-0-471-08599-7 (9780471085997)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Content
MATHEMATICAL MODELING PRELIMINARIES: The Mathematical Modeling of Continuous Processes; The Mathematical Modeling of Discrete Processes; NUMERICAL METHODS FOR SIMULATING LINEAR SYSTEMS ON A DIGITAL COMPUTER: An Introduction to Linear System Simulation; Discrete Analog Simulation; Root-matching Methods; NUMERICAL METHODS FOR SIMULATING NONLINEAR SYSTEMS ON A DIGITAL COMPUTER: Nonlinear System Simulation; Modern Numerical Integration Methods; Classical Numerical Integration Methods; SIMULATING CONTINUOUS RANDOM PROCESSES ON A DIGITAL COMPUTER: An Introduction to Continuous Stationary Random Processes; Generating Chaos, Random Numbers and Simulating Random Processes; SIMULATOR VERIFICATION: Practical Fault Detection and Isolation Techniques for Simulator Verification; FAST FUNCTION EVALUATION TECHNIQUES: Nested Parenthetical Forms and Chebyshev Economization; Appendixes; Subject Index.