The Foundations of Statistics: A Simulation-based Approach, Shravan Vasishth; Michael Broe

Автор: Nelson Barry L
Название: Foundations and Methods of Stochastic Simulation
ISBN: 1461461596 ISBN-13(EAN): 9781461461593
Издательство: Springer
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Цена: 79190.00 T
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Описание: This book covers modeling, programming and analysis of simulation experiments and offers a rigorous treatment of the foundations of simulation and why it works. Emphasizes lasting principles, includes end of chapter exercises and an online manual of solutions.

Автор: Neimark Juri I., Kogan M.M., Gloumov V.
Название: Mathematical Models in Natural Science and Engineering / An Example-Based Approach
ISBN: 3540436804 ISBN-13(EAN): 9783540436805
Издательство: Springer
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Цена: 204970.00 T
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Описание: This book helps the reader become familiar with various mathematical models for mechanical, electrical, physical, atronomical, chemical, biological, ecological, cybernetical and other systems and processes. The models examined are evolutionary models, i.e. the models of time-varying processes known as dynamic systems, such as fluid flow, biological processes, oscillations in mechanical and electromagnetic systems, and social systems. The book shows readers how to identify appropriate situations for modelling, how to address difficulties in creating models, and how to learn what mathematics teaches us about the modelling of dynamical phenomena in our surrounding world. It is interesting for a wide spectrum of readers, students of natural science and engineering, and also for researchers in these fields.

Автор: Lytton William W.
Название: From Computer to Brain / Foundations of Computational Neuroscience
ISBN: 0387955267 ISBN-13(EAN): 9780387955261
Издательство: Springer
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Цена: 41880.00 T
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Описание: Biology undergraduates, medical students and life-science graduate students often have limited mathematical skills. Similarly, physics, math and engineering students have little patience for the detailed facts that make up much of biological knowledge. Teaching computational neuroscience as an integrated discipline requires that both groups be brought forward onto common ground. This book does this by making ancillary material available in an appendix and providing basic explanations without becoming bogged down in unnecessary details. The book will be suitable for undergraduates and beginning graduate students taking a computational neuroscience course and also to anyone with an interest in the uses of the computer in modeling the nervous system.

Автор: Glotzer Sharon C
Название: International Assessment Of Research And Development In Simulation-Based Engineering And Science
ISBN: 1848166974 ISBN-13(EAN): 9781848166974
Издательство: World Scientific Publishing
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Цена: 121440.00 T
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Описание: Simulation-Based Engineering and Science (SBE&S) cuts across disciplines, showing tremendous promise in areas from storm prediction and climate modeling. This title concludes that while the US remains the quantitative leader in SBE&S research and development, it is very much in danger of losing that edge to Europe and Asia.

Автор: Roger A. McCain
Название: Agent-Based Computer Simulation of Dichotomous Economic Growth
ISBN: 0792386884 ISBN-13(EAN): 9780792386889
Издательство: Springer
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Цена: 158380.00 T
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Описание: Agent-Based Computer Simulation of Dichotomous Economic Growth reports a project in agent-based computer stimulation of processes of economic growth in a population of boundedly rational learning agents.

Автор: Xu Han
Название: Numerical Simulation-based Design
ISBN: 9811030898 ISBN-13(EAN): 9789811030895
Издательство: Springer
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Цена: 139750.00 T
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Описание:
This book focuses on numerical simulation-based design theory and methods in mechanical engineering. The simulation-based design of mechanical equipment involves considerable scientific challenges including extremely complex systems, extreme working conditions, multi-source uncertainties, multi-physics coupling, and large-scale computation. In order to overcome these technical difficulties, this book systematically elaborates upon the advanced design methods, covering high-fidelity simulation modeling, rapid structural analysis, multi-objective design optimization, uncertainty analysis and optimization, which can effectively improve the design accuracy, efficiency, multi-functionality and reliability of complicated mechanical structures. This book is primarily intended for researchers, engineers and postgraduate students in mechanical engineering, especially in mechanical design, numerical simulation and engineering optimization.

Автор: Slawomir Koziel; Leifur Leifsson
Название: Simulation-Driven Design by Knowledge-Based Response Correction Techniques
ISBN: 3319301136 ISBN-13(EAN): 9783319301136
Издательство: Springer
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Цена: 88500.00 T
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Описание: Introduction.- Simulation-Driven Design.- Fundamentals of Numerical Optimization.- Introduction to Surrogate-Based Modeling and Surrogate-Based Optimization.- Design Optimization Using Response Correction Techniques.- Surrogate-Based Optimization Using Parametric Response Correction.- Non-Parametric Response Correction Techniques.- Expedited Simulation-Driven Optimization Using Adaptively Adjusted Design Specification.- Surrogate-Assisted Design Optimization Using Response Features.- Enhancing Response Correction Techniques by Adjoint Sensitivity.- Multi-Objective Optimization Using Variable-Fidelity Models and Response Correction.- Physics-Base Surrogate Models Using Response Correction.- Summary and Discussion.- References.