Computer Simulation Modeling
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Systems Modeling and Computer Simulation
This second edition describes the fundamentals of modelling and simulation of continuous-time, discrete time, discrete-event and large-scale systems. Coverage new to this edition includes: a chapter on non-linear systems analysis and modelling, complementing the treatment of of continuous-time and discrete-time systems and a chapter on the computer animation and visualization of dynamical systems motion.
Testing and Validation of Computer Simulation Models
This must-read text/reference provides a practical guide to processes involved in the development and application of dynamic simulation models, covering a wide range of issues relating to testing, verification and validation. Illustrative example problems in continuous system simulation are presented throughout the book, supported by extended case studies from a number of interdisciplinary applications. Topics and features: provides an emphasis on practical issues of model quality and validation, along with questions concerning the management of simulation models, the use of model libraries, and generic models; contains numerous step-by-step examples; presents detailed case studies, often with accompanying datasets; includes discussion of hybrid models, which involve a combination of continuous system and discrete-event descriptions; examines experimental modeling approaches that involve system identification and parameter estimation; offers supplementary material at an associated website.
Applied Mathematics, Modeling and Computer Simulation
This book comprises selected peer-reviewed papers presented at the 2023 International Conference on Applied Mathematics, Modeling and Computer Simulation (AMMCS 2023), held in Wuhan, China. It is part of the Advances in Engineering series, which focuses on the exchange of interdisciplinary knowledge in engineering. The book is divided into three main sections: Mathematical Modelling and Application, Engineering Applications, and Scientific Computations, along with Simulation of Intelligent Systems. It aims to share practical experiences and innovative ideas, making it a valuable resource for researchers and practitioners in the fields of applied mathematics, computer simulation, and engineering. The book highlights international collaboration and advances in the field, emphasizing both theoretical concepts and practical applications.