Modelling, simulation and optimization / / edited by Gregorio Romero and Luisa Martinez.

Computer-Aided Design and system analysis aim to find mathematical models that allow emulating the behaviour of components and facilities. The high competitiveness in industry, the little time available for product development and the high cost in terms of time and money of producing the initial pro...

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Place / Publishing House:Rijeka, Croatia : : InTech,, [2010]
©2010
Year of Publication:2010
Language:English
Physical Description:1 online resource (720 pages) :; illustrations
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100 1 |a Luisa Martinez Muneta  |4 auth 
245 0 0 |a Modelling, simulation and optimization /  |c edited by Gregorio Romero and Luisa Martinez. 
260 |b IntechOpen  |c 2010 
264 1 |a Rijeka, Croatia :  |b InTech,  |c [2010] 
264 4 |c ©2010 
300 |a 1 online resource (720 pages) :  |b illustrations 
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588 |a Description based on: online resource; title from PDF information screen (InTech, viewed October 22, 2022). 
504 |a Includes bibliographical references. 
520 |a Computer-Aided Design and system analysis aim to find mathematical models that allow emulating the behaviour of components and facilities. The high competitiveness in industry, the little time available for product development and the high cost in terms of time and money of producing the initial prototypes means that the computer-aided design and analysis of products are taking on major importance. On the other hand, in most areas of engineering the components of a system are interconnected and belong to different domains of physics (mechanics, electrics, hydraulics, thermal...). When developing a complete multidisciplinary system, it needs to integrate a design procedure to ensure that it will be successfully achieved. Engineering systems require an analysis of their dynamic behaviour (evolution over time or path of their different variables). The purpose of modelling and simulating dynamic systems is to generate a set of algebraic and differential equations or a mathematical model. In order to perform rapid product optimisation iterations, the models must be formulated and evaluated in the most efficient way. Automated environments contribute to this. One of the pioneers of simulation technology in medicine defines simulation as a technique, not a technology, that replaces real experiences with guided experiences reproducing important aspects of the real world in a fully interactive fashion [iii]. In the following chapters the reader will be introduced to the world of simulation in topics of current interest such as medicine, military purposes and their use in industry for diverse applications that range from the use of networks to combining thermal, chemical or electrical aspects, among others. We hope that after reading the different sections of this book we will have succeeded in bringing across what the scientific community is doing in the field of simulation and that it will be to your interest and liking. Lastly, we would like to thank all the authors for their excellent contributions in the different areas of simulation. 
546 |a English 
650 0 |a Computer-aided design. 
653 |a Physical Sciences 
653 |a Engineering and Technology 
653 |a Mathematical Modeling 
653 |a Computer and Information Science 
653 |a Numerical Analysis and Scientific Computing 
776 |z 953-307-048-X 
700 1 |a Romero, Gregorio,  |e editor. 
700 1 |a Martinez, Luisa,  |e editor. 
906 |a BOOK 
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