New paradigms in computational modeling and its applications:
In general, every problem of science and engineering is governed by mathematical models. There is often a need to model, solve and interpret the problems one encounters in the world of practical problems. Models of practical application problems usually need to be handled by efficient computational...
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| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
London
Academic Press
2021
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| Schlagwörter: | |
| Links: | https://learning.oreilly.com/library/view/-/9780128221686/?ar |
| Zusammenfassung: | In general, every problem of science and engineering is governed by mathematical models. There is often a need to model, solve and interpret the problems one encounters in the world of practical problems. Models of practical application problems usually need to be handled by efficient computational models. New Paradigms in Computational Modeling and Its Applications deals with recent developments in mathematical methods, including theoretical models as well as applied science and engineering. The book focuses on subjects that can benefit from mathematical methods with concepts of simulation, waves, dynamics, uncertainty, machine intelligence, and applied mathematics. The authors bring together leading-edge research on mathematics combining various fields of science and engineering. This perspective acknowledges the inherent characteristic of current research on mathematics operating in parallel over different subject fields. New Paradigms in Computational Modeling and Its Applications meets the present and future needs for the interaction between various science and technology/engineering areas on the one hand and different branches of mathematics on the other. As such, the book contains 13 chapters covering various aspects of computational modeling from theoretical to application problems. The first six chapters address various problems of structural and fluid dynamics. The next four chapters include solving problems where the governing parameters are uncertain regarding fuzzy, interval, and affine. The final three chapters will be devoted to the use of machine intelligence in artificial neural networks. Presents a self-contained and up to date review of modelling real life scientific and engineering application problems Introduces new concepts of various computing techniques to handle different engineering and science problems Demonstrates the efficiency and power of the various algorithms and models in a simple and easy to follow style, including numerous examples to illustrate concepts and algorithms. |
| Umfang: | 1 Online-Ressource |
| ISBN: | 9780128221686 0128221682 |
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| spelling | New paradigms in computational modeling and its applications edited by Snehashish Chakraverty London Academic Press 2021 1 Online-Ressource Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In general, every problem of science and engineering is governed by mathematical models. There is often a need to model, solve and interpret the problems one encounters in the world of practical problems. Models of practical application problems usually need to be handled by efficient computational models. New Paradigms in Computational Modeling and Its Applications deals with recent developments in mathematical methods, including theoretical models as well as applied science and engineering. The book focuses on subjects that can benefit from mathematical methods with concepts of simulation, waves, dynamics, uncertainty, machine intelligence, and applied mathematics. The authors bring together leading-edge research on mathematics combining various fields of science and engineering. This perspective acknowledges the inherent characteristic of current research on mathematics operating in parallel over different subject fields. New Paradigms in Computational Modeling and Its Applications meets the present and future needs for the interaction between various science and technology/engineering areas on the one hand and different branches of mathematics on the other. As such, the book contains 13 chapters covering various aspects of computational modeling from theoretical to application problems. The first six chapters address various problems of structural and fluid dynamics. The next four chapters include solving problems where the governing parameters are uncertain regarding fuzzy, interval, and affine. The final three chapters will be devoted to the use of machine intelligence in artificial neural networks. Presents a self-contained and up to date review of modelling real life scientific and engineering application problems Introduces new concepts of various computing techniques to handle different engineering and science problems Demonstrates the efficiency and power of the various algorithms and models in a simple and easy to follow style, including numerous examples to illustrate concepts and algorithms. Computer simulation Computer Simulation Simulation par ordinateur simulation Chakraverty, Snehashish MitwirkendeR ctb 012822133X Erscheint auch als Druck-Ausgabe 012822133X |
| spellingShingle | New paradigms in computational modeling and its applications Computer simulation Computer Simulation Simulation par ordinateur simulation |
| title | New paradigms in computational modeling and its applications |
| title_auth | New paradigms in computational modeling and its applications |
| title_exact_search | New paradigms in computational modeling and its applications |
| title_full | New paradigms in computational modeling and its applications edited by Snehashish Chakraverty |
| title_fullStr | New paradigms in computational modeling and its applications edited by Snehashish Chakraverty |
| title_full_unstemmed | New paradigms in computational modeling and its applications edited by Snehashish Chakraverty |
| title_short | New paradigms in computational modeling and its applications |
| title_sort | new paradigms in computational modeling and its applications |
| topic | Computer simulation Computer Simulation Simulation par ordinateur simulation |
| topic_facet | Computer simulation Computer Simulation Simulation par ordinateur simulation |
| work_keys_str_mv | AT chakravertysnehashish newparadigmsincomputationalmodelinganditsapplications |