Highly computer-oriented text, introducing numerical methods and algorithms along with the applications and conceptual tools. Includes homework problems, suggestions for research projects, and open-ended questions at the end of each chapter. Written by our successful author who also wrote Continuous System Modeling, a best-selling Springer book first published in the 1991 (sold about 1500 copies).

Continuous System Simulation describes in detail how to build mathematical simulations of systems that change continuously over time. It covers: - numerical integration - simulation of stiff systems - simulation of marginally stable systems - simulation of noisy systems - model validation techniques - simulation verification - the inverse problem - dynamic nonlinear programming - simulation software - simulation hardware Intended for advanced undergraduates in electrical, computer, mechanical, and civil engineering, it is a highly computer-oriented text, introducing numerical methods and algorithms along with the applications and conceptual tools. Homework problems, suggestions for research projects, and open-ended questions conclude each chapter.

Theory of Modeling and Simulation: Discrete Event & Iterative System Computational Foundations, Third Edition, continues the legacy of this authoritative and complete theoretical work. It is ideal for graduate and PhD students and working engineers interested in posing and solving problems using the tools of logico-mathematical modeling and computer simulation. Continuing its emphasis on the integration of discrete event and continuous modeling approaches, the work focuses light on DEVS and its potential to support the co-existence and interoperation of multiple formalisms in model components. New sections in this updated edition include discussions on important new extensions to theory, including chapter-length coverage of iterative system specification and DEVS and their fundamental importance, closure under coupling for iteratively specified systems, existence, uniqueness, non-deterministic conditions, and temporal progressiveness (legitimacy).