Modeling and Simulation in Science Technology and Engineering

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Modeling and Simulation in Science  Technology and Engineering
Author : Jaxon Wheeler
File Size : 46,7 Mb
Publisher : Unknown
Language : English
Release Date : 27 September 2022
ISBN : 1639893598
Pages : 0 pages
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Modeling and Simulation in Science Technology and Engineering by Jaxon Wheeler Book PDF Summary

A model is a representation of a system made of concepts, mathematical formulas and calculations to predict and understand the data. A model can be physical or conceptual. Simulation is the implementation of model to study the behavior and performance of a system. It allows systems to optimize and predict. Modeling and simulation have broad spectrum of applications in other areas. Some of these are system engineering, training and education support, and analysis support. Scientific models are used to explain and predict behavior of real objects, for instance, predicting model for weather forecasting, drug design, urban planning, describing dual nature of wave, Bohr atomic model, DNA double helix model, projecting health outcomes of diseases, etc. Simulation is majorly used in analyzing and experimentation such as in performance tuning or optimizing, safety engineering, testing, training, education and video games. This book elucidates new techniques and their applications in a multidisciplinary manner. It studies, analyzes and upholds the pillars of modeling and simulation and its utmost significance in modern times. The extensive content of this book provides the readers with a thorough understanding of the subject.

Modeling and Simulation in Science  Technology and Engineering

A model is a representation of a system made of concepts, mathematical formulas and calculations to predict and understand the data. A model can be physical or conceptual. Simulation is the implementation of model to study the behavior and performance of a system. It allows systems to optimize and predict.

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Modelling and Simulation in Science  Technology and Engineering Mathematics

This volume contains the peer-reviewed proceedings of the International Conference on Modelling and Simulation (MS-17), held in Kolkata, India, 4th-5th November 2017, organized by the Association for the Advancement of Modelling and Simulation Techniques in Enterprises (AMSE, France) in association with the Institution of Engineering Technology (IET, UK), Kolkata Network.

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Scientific Modeling and Simulations

Although computational modeling and simulation of material deformation was initiated with the study of structurally simple materials and inert environments, there is an increasing demand for predictive simulation of more realistic material structure and physical conditions. In particular, it is recognized that applied mechanical force can plausibly alter chemical reactions

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Model Engineering for Simulation

Model Engineering for Simulation provides a systematic introduction to the implementation of generic, normalized and quantifiable modeling and simulation using DEVS formalism. It describes key technologies relating to model lifecycle management, including model description languages, complexity analysis, model management, service-oriented model composition, quantitative measurement of model credibility, and model validation

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Research Challenges in Modeling and Simulation for Engineering Complex Systems

This illuminating text/reference presents a review of the key aspects of the modeling and simulation (M&S) life cycle, and examines the challenges of M&S in different application areas. The authoritative work offers valuable perspectives on the future of research in M&S, and its role in engineering

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Multicomponent Flow Modeling

The goal of this is book to give a detailed presentation of multicomponent flow models and to investigate the mathematical structure and properties of the resulting system of partial differential equations. These developments are also illustrated by simulating numerically a typical laminar flame. Our aim in the chapters is to

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Modeling  Simulation  and Optimization

This book features selected contributions in the areas of modeling, simulation, and optimization. The contributors discusses requirements in problem solving for modeling, simulation, and optimization. Modeling, simulation, and optimization have increased in demand in exponential ways and how potential solutions might be reached. They describe how new technologies in computing

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Modeling and Simulation in Science and Mathematics Education

"This book, aimed at precollege teachers, shows how the role of simulation modeling in investigation dynamic processes is now extending beyond research and university environments to the precollege world. Computer modeling has the potential to significantly improve the quality of secondary science and mathematics education. This book introduces teachers and

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