High-Performance Simulation-Based Optimization, Thomas Bartz-Beielstein; Bogdan Filipi?; Peter Kor

Автор: Changjun Hu; Wen Yang; Congfeng Jiang; Dong Dai
Название: High-Performance Computing Applications in Numerical Simulation and Edge Computing
ISBN: 981329986X ISBN-13(EAN): 9789813299863
Издательство: Springer
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Цена: 55890.00 T
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Описание: This book constitutes the referred proceedings of two workshops held at the 32nd ACM International Conference on Supercomputing, ACM ICS 2018, in Beijing, China, in June 2018. This volume presents the papers that have been accepted for the following workshops: Second International Workshop on High Performance Computing for Advanced Modeling and Simulation in Nuclear Energy and Environmental Science, HPCMS 2018, and First International Workshop on HPC Supported Data Analytics for Edge Computing, HiDEC 2018.

Автор: Maschler
Название: Game Theory
ISBN: 1107005485 ISBN-13(EAN): 9781107005488
Издательство: Cambridge Academ
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Цена: 69690.00 T
Наличие на складе: Невозможна поставка.
Описание: Covering both noncooperative and cooperative games, this comprehensive introduction to game theory also includes some advanced chapters on auctions, games with incomplete information, games with vector payoffs, stable matchings and the bargaining set. Mathematically oriented, the book presents every theorem alongside a proof. The material is presented clearly and every concept is illustrated with concrete examples from a broad range of disciplines. With numerous exercises the book is a thorough and extensive guide to game theory from undergraduate through graduate courses in economics, mathematics, computer science, engineering and life sciences to being an authoritative reference for researchers.

Автор: Gosavi, Abhijit
Название: Simulation-Based Optimization
ISBN: 1489974903 ISBN-13(EAN): 9781489974907
Издательство: Springer
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Цена: 102480.00 T
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Описание:

Background.- Simulation basics.- Simulation optimization: an overview.- Response surfaces and neural nets.- Parametric optimization.- Dynamic programming.- Reinforcement learning.- Stochastic search for controls.- Convergence: background material.- Convergence: parametric optimization.- Convergence: control optimization.- Case studies.

Автор: Abhijit Gosavi
Название: Simulation-Based Optimization
ISBN: 1489977317 ISBN-13(EAN): 9781489977311
Издательство: Springer
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Цена: 69870.00 T
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Simulation-Based Optimization: Parametric Optimization Techniques and Reinforcement Learning introduce the evolving area of static and dynamic simulation-based optimization. Covered in detail are model-free optimization techniques - especially designed for those discrete-event, stochastic systems which can be simulated but whose analytical models are difficult to find in closed mathematical forms.

Key features of this revised and improved Second Edition include:

- Extensive coverage, via step-by-step recipes, of powerful new algorithms for static simulation optimization, including simultaneous perturbation, backtracking adaptive search and nested partitions, in addition to traditional methods, such as response surfaces, Nelder-Mead search and meta-heuristics (simulated annealing, tabu search, and genetic algorithms)

- Detailed coverage of the Bellman equation framework for Markov Decision Processes (MDPs), along with dynamic programming (value and policy iteration) for discounted, average, and total reward performance metrics

- An in-depth consideration of dynamic simulation optimization via temporal differences and Reinforcement Learning: Q-Learning, SARSA, and R-SMART algorithms, and policy search, via API, Q-P-Learning, actor-critics, and learning automata

- A special examination of neural-network-based function approximation for Reinforcement Learning, semi-Markov decision processes (SMDPs), finite-horizon problems, two time scales, case studies for industrial tasks, computer codes (placed online) and convergence proofs, via Banach fixed point theory and Ordinary Differential Equations

Themed around three areas in separate sets of chapters - Static Simulation Optimization, Reinforcement Learning and Convergence Analysis - this book is written for researchers and students in the fields of engineering (industrial, systems, electrical and computer), operations research, computer science and applied mathematics.

Автор: Gianni Pillo; Almerico Murli
Название: High Performance Algorithms and Software for Nonlinear Optimization
ISBN: 1461379563 ISBN-13(EAN): 9781461379560
Издательство: Springer
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Цена: 139750.00 T
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Описание: This volume contains the edited texts of the lectures presented at the Workshop on High Performance Algorithms and Software for Nonlinear Optimization held in Erice, Sicily, at the "G.

Автор: Stephen A. Jarvis; Steven A. Wright; Simon D. Hamm
Название: High Performance Computing Systems. Performance Modeling, Benchmarking, and Simulation
ISBN: 3319172476 ISBN-13(EAN): 9783319172477
Издательство: Springer
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Цена: 44720.00 T
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Описание: This book constitutes the thoroughly refereed proceedings of the 5th International Workshop, PMBS 2014 in New Orleans, LA, USA in November 2014. The 12 full and 2 short papers presented in this volume were carefully reviewed and selected from 53 submissions. The papers cover topics on performance benchmarking and optimization;

Автор: Silja Meyer-Nieberg; Nadiia Leopold; Tobias Uhlig
Название: Natural Computing for Simulation-Based Optimization and Beyond
ISBN: 3030262146 ISBN-13(EAN): 9783030262143
Издательство: Springer
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Цена: 46570.00 T
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Описание: This SpringerBrief bridges the gap between the areas of simulation studies on the one hand, and optimization with natural computing on the other.

Автор: Stephen A. Jarvis; Steven A. Wright; Simon D. Hamm
Название: High Performance Computing Systems. Performance Modeling, Benchmarking and Simulation
ISBN: 3319102133 ISBN-13(EAN): 9783319102139
Издательство: Springer
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Цена: 52170.00 T
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Описание: The selected articles broadly cover topics on massively parallel and high-performance simulations, modeling and simulation, model development and analysis, performance optimization, power estimation and optimization, high performance computing, reliability, performance analysis, and network simulations.