Advances in Computational Modeling and Simulation / edited by Rallapalli Srinivas, Rajesh Kumar, Mainak Dutta
Contributor(s): Srinivas, Rallapalli, editor literario | Kumar, Rajesh, editor literario | Dutta, Mainak, editor literario
Material type:
E-bookSeries: (Lecture Notes in Mechanical Engineering, 2195-4364).Publisher: Singapore : Springer International Publishing, 2022Edition: First edition 2022.Description: 1 recurso en línea (VIII, 243 páginas) : 105 ilustraciones, 92 ilustraciones a color.ISBN: 9789811678578.Subject: Simulación por ordenador
| Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | |
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LIBRO-E NO PRÉSTAMO
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Madrid Digital Acceso Electrónico (UEM) | Ciencias e Ingeniería | QA76.9.C65 2022 EB (Browse shelf(Opens below)) | Acceso electrónico | eBook.01042386 |
Computation in Optimization and Control -- Multiscale and Multiphysics Modeling and Computation Analysis -- Environmental Modeling -- Modeling Approaches to Enterprise Systems and Services.
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.
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