
Modelling and Simulation
by Giuseppe Petrone, Giuliano Cammarata
Publisher: InTech 2008
ISBN-13: 9783902613257
Number of pages: 688
Description:
This book collects original and innovative research studies concerning modeling and simulation of physical systems in a very wide range of applications, encompassing micro-electro-mechanical systems, measurement instrumentations, catalytic reactors, biomechanical applications, biological and chemical sensors, magnetosensitive materials, silicon photonic devices, electronic devices, optical fibers, electro-microfluidic systems, composite materials, fuel cells, indoor air-conditioning systems, active magnetic levitation systems and more.
Download or read it online for free here:
Download link
(80MB, PDF)
Similar books
Computer Simulation Techniques - The Definitive Introductionby Harry Perros - NC State University
The generation of pseudo-random numbers, the generation of stochastic variates, simulation designs, estimation techniques for analyzing endogenously created data, validation of a simulation model, variance reduction techniques, etc.
(18807 views)
From Algorithms to Z-Scores: Probabilistic and Statistical Modeling in Computer Scienceby Norm Matloff - University of California, Davis
The materials here form a textbook for a course in mathematical probability and statistics for computer science students. Computer science examples are used throughout, in areas such as: computer networks; data and text mining; computer security...
(11418 views)
Dynamic Modellingby Alisson V. Brito - InTech
Dynamic modelling means modelling processes or systems, which are formed by attributes changing over time. Vehicles transmission and engines, reconfigurable microchips, earthquakes and the effect of diseases in organisms are presented in this book.
(15405 views)
Fuzzy Systemsby Ahmad Taher Azar - InTech
This book is intended to present fuzzy logic systems and useful applications with a simple approach. It is written at a level suitable for use in a graduate course on applications of fuzzy systems in decision support, nonlinear modeling and control.
(13960 views)