Titlebook: Mathematical and Computational Modeling and Simulation; Fundamentals and Cas Dietmar P. F. Moeller Textbook 2004 Springer-Verlag Berlin Hei

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Soft-Computing Methods,conscious of uncertainty. This uncertainty appears in the form of imprecision, vagueness, and ill-defined, ill-separable, and doubtful data. Using nonprecise information, called soft-information, needs a specific form of computation, called soft-computing. There are four main classes of methods that form soft-computing:

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Modeling Continuous-Time and Discrete-Time Systems,gineering domains such as electrical, mechanical, hydraulic, and control. In many cases, solutions to problems have been found by applying appropriate mathematical models and computer simulation to them.

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bedded case studies from all engineering disciplines.Mathematical and Computational Modeling and Simulation - a highly multi-disciplinary field with ubiquitous applications in science and engineering - is one of the key enabling technologies of the 21st century. This book introduces the reader to th

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Textbook 2004is one of the key enabling technologies of the 21st century. This book introduces the reader to the use of mathematical and computational modeling and simulation in order to develop an understanding of the solution characteristics of a broad class of real-world problems. The relevant basic and advan

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Mathematical Description of Discrete-Time Systems,Consider a discrete-time system as a system in which the state variables change only at a discrete set of points in time, as shown in Figs. 1.20 and 1.21.

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https://doi.org/10.1007/978-3-642-18709-4ACSL; Algebra; AnyLogic; B2Spice A/D; CSM; Computational Science; Dynamical Systems; Identification; Ill-def

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978-3-540-40389-0Springer-Verlag Berlin Heidelberg 2004