Numerical Simulations Of Physical And Engineering Processes


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Numerical Simulations of Physical and Engineering Processes


Numerical Simulations of Physical and Engineering Processes

Author: Jan Awrejcewicz

language: en

Publisher: BoD – Books on Demand

Release Date: 2011-09-26


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Numerical Simulations of Physical and Engineering Process is an edited book divided into two parts. Part I devoted to Physical Processes contains 14 chapters, whereas Part II titled Engineering Processes has 13 contributions. The book handles the recent research devoted to numerical simulations of physical and engineering systems. It can be treated as a bridge linking various numerical approaches of two closely inter-related branches of science, i.e. physics and engineering. Since the numerical simulations play a key role in both theoretical and application oriented research, professional reference books are highly needed by pure research scientists, applied mathematicians, engineers as well post-graduate students. In other words, it is expected that the book will serve as an effective tool in training the mentioned groups of researchers and beyond.

Physical and Numerical Simulation of Materials Processing


Physical and Numerical Simulation of Materials Processing

Author: Ji Tai Niu

language: en

Publisher: Trans Tech Publications Ltd

Release Date: 2008-04-08


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ICPNS’07 Selected, peer reviewed papers from the 5th International Conference on Physical and Numerical Simulation of Materials Processing, October 23-27, 2007, held in Zhengzhou, China

Recent Advances in Numerical Simulations


Recent Advances in Numerical Simulations

Author: Francisco Bulnes

language: en

Publisher: BoD – Books on Demand

Release Date: 2021-09-22


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A numerical simulation is a computing calculation following a program that develops a mathematical model for a physical, social, economic, or biological system. Numerical simulations are required for analyzing and studying the behavior of systems whose mathematical models are very complex, as in the case of nonlinear systems. Capturing the resulting uncertainty of models based on uncertain parameters and constraints in confidence intervals (1-D), or more generally (>1-D) confidence regions, is very common for expressing to which degree the computed result is believed to be consistent with possible values of the targeted observable. This book examines the different methods used in numerical simulations, including adaptive and stochastic methods as well as finite element analysis research. This work is accompanied by studies of confidence regions, often utilized to express the credibility of such calculations and simulations.