Advances in Computational Modeling and Simulation

Advances in Computational Modeling and Simulation

Author: Rallapalli Srinivas

Publisher: Springer Nature

Published: 2022-02-15

Total Pages: 243

ISBN-13: 981167857X

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The book presents select proceedings of Global meet on ‘Computational Modelling and Simulation, Recent Innovations, Challenges and Perspectives, 2020. This book covers leading-edge technologies from different domains such as computation in optimization and control, multiscale and multiphysics modeling and computation analysis, environmental modeling, modeling approaches to enterprise systems and services, finite element analysis, dependability and security, high-performance computation/cloud computing applications, computational biology and chemistry and computational mechanics. The primary goal of this book is to strengthen pre-eminence in computational modeling and simulation by catalyzing the transformative use of innovative developments in a wide range of disciplines to achieve lasting societal impact. The book discusses on how to perform simulation of large complex dynamic systems in an efficient manner using advanced computational analysis. The inter-disciplinary nature of the book would be a valuable reference for academicians and research scientists, industrialists interested in modelling and simulation driven by computational technology.


Book Synopsis Advances in Computational Modeling and Simulation by : Rallapalli Srinivas

Download or read book Advances in Computational Modeling and Simulation written by Rallapalli Srinivas and published by Springer Nature. This book was released on 2022-02-15 with total page 243 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book presents select proceedings of Global meet on ‘Computational Modelling and Simulation, Recent Innovations, Challenges and Perspectives, 2020. This book covers leading-edge technologies from different domains such as computation in optimization and control, multiscale and multiphysics modeling and computation analysis, environmental modeling, modeling approaches to enterprise systems and services, finite element analysis, dependability and security, high-performance computation/cloud computing applications, computational biology and chemistry and computational mechanics. The primary goal of this book is to strengthen pre-eminence in computational modeling and simulation by catalyzing the transformative use of innovative developments in a wide range of disciplines to achieve lasting societal impact. The book discusses on how to perform simulation of large complex dynamic systems in an efficient manner using advanced computational analysis. The inter-disciplinary nature of the book would be a valuable reference for academicians and research scientists, industrialists interested in modelling and simulation driven by computational technology.


Mathematical and Computational Modeling and Simulation

Mathematical and Computational Modeling and Simulation

Author: Dietmar P.F. Möller

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 438

ISBN-13: 3642187099

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This introduction and textbook familiarizes engineers with the use of mathematical and computational modeling and simulation in a way that develops their understanding of the solution characteristics of a broad class of real-world problems. The relevant basic and advanced methodologies are explained in detail, with special emphasis on ill-defined problems. Some fifteen simulation systems are presented on the language and the logical level. Moreover, the reader also can accumulate an experiential overview by studying the wide variety of case studies spanning much of science and engineering. The latter are briefly described within the book but their full versions as well as some simulation software demos are available on the Web. The book can be used for courses on various levels as well as for self-study. Advanced sections are identified and can be skipped in a first reading or in undergraduate courses.


Book Synopsis Mathematical and Computational Modeling and Simulation by : Dietmar P.F. Möller

Download or read book Mathematical and Computational Modeling and Simulation written by Dietmar P.F. Möller and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 438 pages. Available in PDF, EPUB and Kindle. Book excerpt: This introduction and textbook familiarizes engineers with the use of mathematical and computational modeling and simulation in a way that develops their understanding of the solution characteristics of a broad class of real-world problems. The relevant basic and advanced methodologies are explained in detail, with special emphasis on ill-defined problems. Some fifteen simulation systems are presented on the language and the logical level. Moreover, the reader also can accumulate an experiential overview by studying the wide variety of case studies spanning much of science and engineering. The latter are briefly described within the book but their full versions as well as some simulation software demos are available on the Web. The book can be used for courses on various levels as well as for self-study. Advanced sections are identified and can be skipped in a first reading or in undergraduate courses.


Computational Modeling and Simulation of Intellect: Current State and Future Perspectives

Computational Modeling and Simulation of Intellect: Current State and Future Perspectives

Author: Igelnik, Boris

Publisher: IGI Global

Published: 2011-05-31

Total Pages: 686

ISBN-13: 1609605527

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"This book confronts the problem of meaning by fusing together methods specific to different fields and exploring the computational efficiency and scalability of these methods"--Provided by publisher.


Book Synopsis Computational Modeling and Simulation of Intellect: Current State and Future Perspectives by : Igelnik, Boris

Download or read book Computational Modeling and Simulation of Intellect: Current State and Future Perspectives written by Igelnik, Boris and published by IGI Global. This book was released on 2011-05-31 with total page 686 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book confronts the problem of meaning by fusing together methods specific to different fields and exploring the computational efficiency and scalability of these methods"--Provided by publisher.


Advances in Computational Modeling and Simulation

Advances in Computational Modeling and Simulation

Author: Ran Guo

Publisher: Trans Tech Publications Ltd

Published: 2013-10-15

Total Pages: 1914

ISBN-13: 3038262870

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Collection of selected, peer reviewed papers from the 2nd International Conference on Advances in Computational Modeling and Simulation (ACMS 2013), July 17-19, 2013, Kunming, China. Volume is indexed by Thomson Reuters CPCI-S (WoS). The 316 papers are grouped as follows: Chapter 1: Computational Solid Mechanics; Chapter 2: Computational Fluid Dynamics; Chapter 3: Applied Mathematics; Chapter 4: Computational Analyze of Nonlinear Systems; Chapter 5: Applied Computational Methods in Engineering Research; Chapter 6: Computational Methods in Fire Safety; Chapter 7: Other Related Topics


Book Synopsis Advances in Computational Modeling and Simulation by : Ran Guo

Download or read book Advances in Computational Modeling and Simulation written by Ran Guo and published by Trans Tech Publications Ltd. This book was released on 2013-10-15 with total page 1914 pages. Available in PDF, EPUB and Kindle. Book excerpt: Collection of selected, peer reviewed papers from the 2nd International Conference on Advances in Computational Modeling and Simulation (ACMS 2013), July 17-19, 2013, Kunming, China. Volume is indexed by Thomson Reuters CPCI-S (WoS). The 316 papers are grouped as follows: Chapter 1: Computational Solid Mechanics; Chapter 2: Computational Fluid Dynamics; Chapter 3: Applied Mathematics; Chapter 4: Computational Analyze of Nonlinear Systems; Chapter 5: Applied Computational Methods in Engineering Research; Chapter 6: Computational Methods in Fire Safety; Chapter 7: Other Related Topics


Advances in Computational Modeling Research

Advances in Computational Modeling Research

Author: Anna Belya Kora

Publisher: Nova Science Pub Incorporated

Published: 2013-01-01

Total Pages: 194

ISBN-13: 9781626180659

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Agent-based models (ABM) and computational models simulate the actions and interactions of autonomous agents (both individual or collective entities such as organizations or groups) with a view to assessing their effects on the system as a whole. They combine elements of game theory, complex systems, emergence, computational sociology, multi-agent systems, and evolutionary programming. In this book, the authors discuss the modeling, simulation and optimization of resources management in hospital emergency departments using the agent-based approach; computational modeling in male reproduction; consumer-centric agent-based marketing models; Lattice-Boltzmann simulation of transport phenomena in agroindustrial biosystems; agent-based models in cancer prevention research; model-based approaches to diagnosis of multi-agent plans; and modeling behavior of web users as agents with reason and sentiment.


Book Synopsis Advances in Computational Modeling Research by : Anna Belya Kora

Download or read book Advances in Computational Modeling Research written by Anna Belya Kora and published by Nova Science Pub Incorporated. This book was released on 2013-01-01 with total page 194 pages. Available in PDF, EPUB and Kindle. Book excerpt: Agent-based models (ABM) and computational models simulate the actions and interactions of autonomous agents (both individual or collective entities such as organizations or groups) with a view to assessing their effects on the system as a whole. They combine elements of game theory, complex systems, emergence, computational sociology, multi-agent systems, and evolutionary programming. In this book, the authors discuss the modeling, simulation and optimization of resources management in hospital emergency departments using the agent-based approach; computational modeling in male reproduction; consumer-centric agent-based marketing models; Lattice-Boltzmann simulation of transport phenomena in agroindustrial biosystems; agent-based models in cancer prevention research; model-based approaches to diagnosis of multi-agent plans; and modeling behavior of web users as agents with reason and sentiment.


Introduction to Computational Science

Introduction to Computational Science

Author: Angela B. Shiflet

Publisher: Princeton University Press

Published: 2014-03-30

Total Pages: 857

ISBN-13: 140085055X

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The essential introduction to computational science—now fully updated and expanded Computational science is an exciting new field at the intersection of the sciences, computer science, and mathematics because much scientific investigation now involves computing as well as theory and experiment. This textbook provides students with a versatile and accessible introduction to the subject. It assumes only a background in high school algebra, enables instructors to follow tailored pathways through the material, and is the only textbook of its kind designed specifically for an introductory course in the computational science and engineering curriculum. While the text itself is generic, an accompanying website offers tutorials and files in a variety of software packages. This fully updated and expanded edition features two new chapters on agent-based simulations and modeling with matrices, ten new project modules, and an additional module on diffusion. Besides increased treatment of high-performance computing and its applications, the book also includes additional quick review questions with answers, exercises, and individual and team projects. The only introductory textbook of its kind—now fully updated and expanded Features two new chapters on agent-based simulations and modeling with matrices Increased coverage of high-performance computing and its applications Includes additional modules, review questions, exercises, and projects An online instructor's manual with exercise answers, selected project solutions, and a test bank and solutions (available only to professors) An online illustration package is available to professors


Book Synopsis Introduction to Computational Science by : Angela B. Shiflet

Download or read book Introduction to Computational Science written by Angela B. Shiflet and published by Princeton University Press. This book was released on 2014-03-30 with total page 857 pages. Available in PDF, EPUB and Kindle. Book excerpt: The essential introduction to computational science—now fully updated and expanded Computational science is an exciting new field at the intersection of the sciences, computer science, and mathematics because much scientific investigation now involves computing as well as theory and experiment. This textbook provides students with a versatile and accessible introduction to the subject. It assumes only a background in high school algebra, enables instructors to follow tailored pathways through the material, and is the only textbook of its kind designed specifically for an introductory course in the computational science and engineering curriculum. While the text itself is generic, an accompanying website offers tutorials and files in a variety of software packages. This fully updated and expanded edition features two new chapters on agent-based simulations and modeling with matrices, ten new project modules, and an additional module on diffusion. Besides increased treatment of high-performance computing and its applications, the book also includes additional quick review questions with answers, exercises, and individual and team projects. The only introductory textbook of its kind—now fully updated and expanded Features two new chapters on agent-based simulations and modeling with matrices Increased coverage of high-performance computing and its applications Includes additional modules, review questions, exercises, and projects An online instructor's manual with exercise answers, selected project solutions, and a test bank and solutions (available only to professors) An online illustration package is available to professors


Computational Modeling, Optimization and Manufacturing Simulation of Advanced Engineering Materials

Computational Modeling, Optimization and Manufacturing Simulation of Advanced Engineering Materials

Author: Pablo Andrés Muñoz-Rojas

Publisher: Springer

Published: 2016-06-20

Total Pages: 393

ISBN-13: 3319042653

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This volume presents recent research work focused in the development of adequate theoretical and numerical formulations to describe the behavior of advanced engineering materials. Particular emphasis is devoted to applications in the fields of biological tissues, phase changing and porous materials, polymers and to micro/nano scale modeling. Sensitivity analysis, gradient and non-gradient based optimization procedures are involved in many of the chapters, aiming at the solution of constitutive inverse problems and parameter identification. All these relevant topics are exposed by experienced international and inter institutional research teams resulting in a high level compilation. The book is a valuable research reference for scientists, senior undergraduate and graduate students, as well as for engineers acting in the area of computational material modeling.


Book Synopsis Computational Modeling, Optimization and Manufacturing Simulation of Advanced Engineering Materials by : Pablo Andrés Muñoz-Rojas

Download or read book Computational Modeling, Optimization and Manufacturing Simulation of Advanced Engineering Materials written by Pablo Andrés Muñoz-Rojas and published by Springer. This book was released on 2016-06-20 with total page 393 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume presents recent research work focused in the development of adequate theoretical and numerical formulations to describe the behavior of advanced engineering materials. Particular emphasis is devoted to applications in the fields of biological tissues, phase changing and porous materials, polymers and to micro/nano scale modeling. Sensitivity analysis, gradient and non-gradient based optimization procedures are involved in many of the chapters, aiming at the solution of constitutive inverse problems and parameter identification. All these relevant topics are exposed by experienced international and inter institutional research teams resulting in a high level compilation. The book is a valuable research reference for scientists, senior undergraduate and graduate students, as well as for engineers acting in the area of computational material modeling.


Innovations in Modeling and Simulation to Advance Translational Science

Innovations in Modeling and Simulation to Advance Translational Science

Author: Melissa Knothe Tate

Publisher: Frontiers Media SA

Published: 2020-12-15

Total Pages: 191

ISBN-13: 288966225X

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This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact.


Book Synopsis Innovations in Modeling and Simulation to Advance Translational Science by : Melissa Knothe Tate

Download or read book Innovations in Modeling and Simulation to Advance Translational Science written by Melissa Knothe Tate and published by Frontiers Media SA. This book was released on 2020-12-15 with total page 191 pages. Available in PDF, EPUB and Kindle. Book excerpt: This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact.


Computational Modeling and Simulation of Advanced Wireless Communication Systems

Computational Modeling and Simulation of Advanced Wireless Communication Systems

Author: Agbotiname Lucky Imoize

Publisher: CRC Press

Published: 2024-08-20

Total Pages: 469

ISBN-13: 1040098657

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The book covers the exploitation of computational models for effectively developing and managing large-scale wireless communication systems. The goal is to create and establish computational models for seamless human interaction and efficient decision-making in beyond 5G wireless systems. Computational Modeling and Simulation of Advanced Wireless Communication Systems looks to create and establish computational models for seamless human interaction and efficient decision-making in the beyond 5G wireless systems. This book presents the design and development of several computational modeling techniques and their applications in wireless communication systems. It examines shortcomings and limitations of the existing computational models and offers solutions to revamp the traditional architecture toward addressing the vast network issues in wireless systems. The book addresses the need to design efficient computational and simulation models to address several issues in wireless communication systems, such as interference, pathloss, delay, traffic outage, and so forth. It discusses how theoretical, mathematical, and experimental results are integrated for optimal system performance to enhance the quality of service for mobile subscribers. Further, the book is intended for industry and academic researchers, scientists, and engineers in the fields of wireless communications and ICTs. It is structured to present a practical guide to wireless communication engineers, IT practitioners, researchers, students, and other professionals.


Book Synopsis Computational Modeling and Simulation of Advanced Wireless Communication Systems by : Agbotiname Lucky Imoize

Download or read book Computational Modeling and Simulation of Advanced Wireless Communication Systems written by Agbotiname Lucky Imoize and published by CRC Press. This book was released on 2024-08-20 with total page 469 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book covers the exploitation of computational models for effectively developing and managing large-scale wireless communication systems. The goal is to create and establish computational models for seamless human interaction and efficient decision-making in beyond 5G wireless systems. Computational Modeling and Simulation of Advanced Wireless Communication Systems looks to create and establish computational models for seamless human interaction and efficient decision-making in the beyond 5G wireless systems. This book presents the design and development of several computational modeling techniques and their applications in wireless communication systems. It examines shortcomings and limitations of the existing computational models and offers solutions to revamp the traditional architecture toward addressing the vast network issues in wireless systems. The book addresses the need to design efficient computational and simulation models to address several issues in wireless communication systems, such as interference, pathloss, delay, traffic outage, and so forth. It discusses how theoretical, mathematical, and experimental results are integrated for optimal system performance to enhance the quality of service for mobile subscribers. Further, the book is intended for industry and academic researchers, scientists, and engineers in the fields of wireless communications and ICTs. It is structured to present a practical guide to wireless communication engineers, IT practitioners, researchers, students, and other professionals.


Advances in Computational Modeling Research

Advances in Computational Modeling Research

Author: Anna Belya Kora

Publisher: Nova Science Publishers

Published: 2013

Total Pages: 206

ISBN-13: 9781626180666

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Agent-based models (ABM) and computational models simulate the actions and interactions of autonomous agents (both individual or collective entities such as organizations or groups) with a view to assessing their effects on the system as a whole. They combine elements of game theory, complex systems, emergence, computational sociology, multi-agent systems, and evolutionary programming. In this book, the authors discuss the modeling, simulation and optimization of resources management in hospital emergency departments using the agent-based approach; computational modeling in male reproduction; consumer-centric agent-based marketing models; Lattice-Boltzmann simulation of transport phenomena in agroindustrial biosystems; agent-based models in cancer prevention research; model-based approaches to diagnosis of multi-agent plans; and modeling behavior of web users as agents with reason and sentiment.


Book Synopsis Advances in Computational Modeling Research by : Anna Belya Kora

Download or read book Advances in Computational Modeling Research written by Anna Belya Kora and published by Nova Science Publishers. This book was released on 2013 with total page 206 pages. Available in PDF, EPUB and Kindle. Book excerpt: Agent-based models (ABM) and computational models simulate the actions and interactions of autonomous agents (both individual or collective entities such as organizations or groups) with a view to assessing their effects on the system as a whole. They combine elements of game theory, complex systems, emergence, computational sociology, multi-agent systems, and evolutionary programming. In this book, the authors discuss the modeling, simulation and optimization of resources management in hospital emergency departments using the agent-based approach; computational modeling in male reproduction; consumer-centric agent-based marketing models; Lattice-Boltzmann simulation of transport phenomena in agroindustrial biosystems; agent-based models in cancer prevention research; model-based approaches to diagnosis of multi-agent plans; and modeling behavior of web users as agents with reason and sentiment.