• Business & Economics

Decision theory

an introduction to dynamic programming and sequential decisions
Author: John Bather
Publisher: John Wiley & Sons Inc
ISBN: 9780471976486
Category: Business & Economics
Page: 191
View: 6319
Decision Theory An Introduction to Dynamic Programming and Sequential Decisions John Bather University of Sussex, UK Mathematical induction, and its use in solving optimization problems, is a topic of great interest with many applications. It enables us to study multistage decision problems by proceeding backwards in time, using a method called dynamic programming. All the techniques needed to solve the various problems are explained, and the author's fluent style will leave the reader with an avid interest in the subject. * Tailored to the needs of students of optimization and decision theory * Written in a lucid style with numerous examples and applications * Coverage of deterministic models: maximizing utilities, directed networks, shortest paths, critical path analysis, scheduling and convexity * Coverage of stochastic models: stochastic dynamic programming, optimal stopping problems and other special topics * Coverage of advanced topics: Markov decision processes, minimizing expected costs, policy improvements and problems with unknown statistical parameters * Contains exercises at the end of each chapter, with hints in an appendix Aimed primarily at students of mathematics and statistics, the lucid text will also appeal to engineering and science students and those working in the areas of optimization and operations research.

    • Mathematics

Introduction to Logistics Systems Planning and Control


Author: Gianpaolo Ghiani,Gilbert Laporte,Roberto Musmanno
Publisher: John Wiley & Sons
ISBN: 0470091657
Category: Mathematics
Page: 360
View: 4715

    • Computers

Multi-Objective Optimization Using Evolutionary Algorithms


Author: Kalyanmoy Deb
Publisher: John Wiley & Sons
ISBN: 9780471873396
Category: Computers
Page: 497
View: 5610
Evolutionary algorithms are relatively new, but very powerfultechniques used to find solutions to many real-world search andoptimization problems. Many of these problems have multipleobjectives, which leads to the need to obtain a set of optimalsolutions, known as effective solutions. It has been found thatusing evolutionary algorithms is a highly effective way of findingmultiple effective solutions in a single simulation run. Comprehensive coverage of this growing area of research Carefully introduces each algorithm with examples and in-depthdiscussion Includes many applications to real-world problems, includingengineering design and scheduling Includes discussion of advanced topics and future research Can be used as a course text or for self-study Accessible to those with limited knowledge of classicalmulti-objective optimization and evolutionary algorithms The integrated presentation of theory, algorithms and exampleswill benefit those working and researching in the areas ofoptimization, optimal design and evolutionary computing. This textprovides an excellent introduction to the use of evolutionaryalgorithms in multi-objective optimization, allowing use as agraduate course text or for self-study.

    • United States

American Book Publishing Record

BPR annual cumulative
Author: N.A
Publisher: N.A
ISBN: N.A
Category: United States
Page: N.A
View: 9042

    • Technology & Engineering

Power Generation Operation and Control, 3rd Ed, 2014

Power Resources Engineering
Author: John Wiley & Sons, Inc
Publisher: Bukupedia
ISBN: N.A
Category: Technology & Engineering
Page: 657
View: 404
Power Resources Engineering : POWER GENERATION, OPERATION, AND CONTROL THIRD EDITION Allen J. Wood Bruce F. Wollenberg Gerald B. Sheblé

    • Mathematics

Pricing Communication Networks

Economics, Technology and Modelling
Author: Costas Courcoubetis,Richard Weber
Publisher: John Wiley & Sons
ISBN: 0470864249
Category: Mathematics
Page: 378
View: 398
Traditionally engineers devised communication services without reference to how they should be priced. In today's environment pricing is a very complex subject and in practice depends on many parameters of the actual market - including amount of traffic, architecture of the network, technology, and cost. The challenge is to provide a generic service model which accurately captures aspects such as quality and performance, and can be used to derive optimal pricing strategies. Recent technology advances, combined with the deregulation of the telecommunication market and the proliferation of the internet, have created a highly competitive environment for communication service prividers. Pricing is no longer as simple as picking an appropriate model for a particular contract. There is a real need for a book that explains the provision of new services, the relation between pricing and resource allocation in networks; and the emergence of the internet and how to price it. Pricing Communication Networks provides a framework of mathematical models for pricing these multidimensional contracts, and includes background in network services and contracts, network techonology, basic economics, and pricing strategy. It can be used by economists to fill in the gaps in their knowledge of network services and technology, and for engineers and operational researchers to gain the background in economics required to price communication services effectively. * Provides a broad overview of network services and contracts * Includes a primer on modern network technology and the economic concepts relevant to pricing and competition * Includes discussion of mathematical models of traffic flow to help describe network capability and derive pricing strategies * Includes coverage of specialist topics, such as regulation, multicasting, and auctions * Illustrated throughout by detailed real examples * Suitable for anyone with an understanding of basic calculus and probability Primarily aimed at graduate students, researchers and practitioners from electrical engineering, computer science, economics and operations research Pricing Communication Networks will also appeal to telecomms engineers working in industry.

    • American literature

BPR


Author: N.A
Publisher: N.A
ISBN: N.A
Category: American literature
Page: N.A
View: 5052

    • Mathematics

Approximate Dynamic Programming

Solving the Curses of Dimensionality
Author: Warren B. Powell
Publisher: John Wiley & Sons
ISBN: 9780470182956
Category: Mathematics
Page: 480
View: 5093

    • Mathematics

Introduction to Stochastic Search and Optimization

Estimation, Simulation, and Control
Author: James C. Spall
Publisher: John Wiley & Sons
ISBN: 0471441902
Category: Mathematics
Page: 618
View: 4899
A unique interdisciplinary foundation for real-world problem solving Stochastic search and optimization techniques are used in a vast number of areas, including aerospace, medicine, transportation, and finance, to name but a few. Whether the goal is refining the design of a missile or aircraft, determining the effectiveness of a new drug, developing the most efficient timing strategies for traffic signals, or making investment decisions in order to increase profits, stochastic algorithms can help researchers and practitioners devise optimal solutions to countless real-world problems. Introduction to Stochastic Search and Optimization: Estimation, Simulation, and Control is a graduate-level introduction to the principles, algorithms, and practical aspects of stochastic optimization, including applications drawn from engineering, statistics, and computer science. The treatment is both rigorous and broadly accessible, distinguishing this text from much of the current literature and providing students, researchers, and practitioners with a strong foundation for the often-daunting task of solving real-world problems. The text covers a broad range of today’s most widely used stochastic algorithms, including: Random search Recursive linear estimation Stochastic approximation Simulated annealing Genetic and evolutionary methods Machine (reinforcement) learning Model selection Simulation-based optimization Markov chain Monte Carlo Optimal experimental design The book includes over 130 examples, Web links to software and data sets, more than 250 exercises for the reader, and an extensive list of references. These features help make the text an invaluable resource for those interested in the theory or practice of stochastic search and optimization.

    • Mathematics

Stochastic Dynamic Programming and the Control of Queueing Systems


Author: Linn I. Sennott
Publisher: John Wiley & Sons
ISBN: 0470317876
Category: Mathematics
Page: 354
View: 443
A path-breaking account of Markov decision processes-theory and computation This book's clear presentation of theory, numerous chapter-end problems, and development of a unified method for the computation of optimal policies in both discrete and continuous time make it an excellent course text for graduate students and advanced undergraduates. Its comprehensive coverage of important recent advances in stochastic dynamic programming makes it a valuable working resource for operations research professionals, management scientists, engineers, and others. Stochastic Dynamic Programming and the Control of Queueing Systems presents the theory of optimization under the finite horizon, infinite horizon discounted, and average cost criteria. It then shows how optimal rules of operation (policies) for each criterion may be numerically determined. A great wealth of examples from the application area of the control of queueing systems is presented. Nine numerical programs for the computation of optimal policies are fully explicated. The Pascal source code for the programs is available for viewing and downloading on the Wiley Web site at www.wiley.com/products/subject/mathematics. The site contains a link to the author's own Web site and is also a place where readers may discuss developments on the programs or other aspects of the material. The source files are also available via ftp at ftp://ftp.wiley.com/public/sci_tech_med/stochastic Stochastic Dynamic Programming and the Control of Queueing Systems features: * Path-breaking advances in Markov decision process techniques, brought together for the first time in book form * A theorem/proof format (proofs may be omitted without loss of continuity) * Development of a unified method for the computation of optimal rules of system operation * Numerous examples drawn mainly from the control of queueing systems * Detailed discussions of nine numerical programs * Helpful chapter-end problems * Appendices with complete treatment of background material

    • American literature

Subject Guide to Books in Print

An Index to the Publishers' Trade List Annual
Author: N.A
Publisher: N.A
ISBN: N.A
Category: American literature
Page: N.A
View: 6632

    • Computers

Control Techniques for Complex Networks


Author: Sean Meyn
Publisher: Cambridge University Press
ISBN: 0521884411
Category: Computers
Page: 562
View: 9082
From foundations to state-of-the-art; the tools and philosophy you need to build network models.

    • Mathematics

Optimization by Vector Space Methods


Author: David G. Luenberger
Publisher: John Wiley & Sons
ISBN: 9780471181170
Category: Mathematics
Page: 326
View: 4256
Engineers must make decisions regarding the distribution of expensive resources in a manner that will be economically beneficial. This problem can be realistically formulated and logically analyzed with optimization theory. This book shows engineers how to use optimization theory to solve complex problems. Unifies the large field of optimization with a few geometric principles. Covers functional analysis with a minimum of mathematics. Contains problems that relate to the applications in the book.

    • Computers

Dynamic Programming and Stochastic Control


Author: Bertsekas
Publisher: Academic Press
ISBN: 0080956343
Category: Computers
Page: 396
View: 2906
Dynamic Programming and Stochastic Control

    • Technology & Engineering

Markov Decision Processes in Artificial Intelligence


Author: Olivier Sigaud,Olivier Buffet
Publisher: John Wiley & Sons
ISBN: 1118620100
Category: Technology & Engineering
Page: 480
View: 4213
Markov Decision Processes (MDPs) are a mathematical framework for modeling sequential decision problems under uncertainty as well as Reinforcement Learning problems. Written by experts in the field, this book provides a global view of current research using MDPs in Artificial Intelligence. It starts with an introductory presentation of the fundamental aspects of MDPs (planning in MDPs, Reinforcement Learning, Partially Observable MDPs, Markov games and the use of non-classical criteria). Then it presents more advanced research trends in the domain and gives some concrete examples using illustrative applications.

    • Computers

Knapsack problems

algorithms and computer implementations
Author: Silvano Martello,Paolo Toth
Publisher: John Wiley & Sons
ISBN: N.A
Category: Computers
Page: 296
View: 945
Here is a state of art examination on exact and approximate algorithms for a number of important NP-hard problems in the field of integer linear programming, which the authors refer to as ``knapsack.'' Includes not only the classical knapsack problems such as binary, bounded, unbounded or binary multiple, but also less familiar problems such as subset-sum and change-making. Well known problems that are not usually classified in the knapsack area, including generalized assignment and bin packing, are also covered. The text fully develops an algorithmic approach without losing mathematical rigor.

    • Libraries

Library Journal


Author: N.A
Publisher: N.A
ISBN: N.A
Category: Libraries
Page: N.A
View: 1563

    • Technology & Engineering

Water Resource Systems Planning and Management

An Introduction to Methods, Models, and Applications
Author: Daniel P. Loucks,Eelco van Beek
Publisher: Springer
ISBN: 3319442341
Category: Technology & Engineering
Page: 624
View: 4904
This book is open access under a CC BY-NC 4.0 license. This revised, updated textbook presents a systems approach to the planning, management, and operation of water resources infrastructure in the environment. Previously published in 2005 by UNESCO and Deltares (Delft Hydraulics at the time), this new edition, written again with contributions from Jery R. Stedinger, Jozef P. M. Dijkman, and Monique T. Villars, is aimed equally at students and professionals. It introduces readers to the concept of viewing issues involving water resources as a system of multiple interacting components and scales. It offers guidelines for initiating and carrying out water resource system planning and management projects. It introduces alternative optimization, simulation, and statistical methods useful for project identification, design, siting, operation and evaluation and for studying post-planning issues. The authors cover both basin-wide and urban water issues and present ways of identifying and evaluating alternatives for addressing multiple-purpose and multi-objective water quantity and quality management challenges. Reinforced with cases studies, exercises, and media supplements throughout, the text is ideal for upper-level undergraduate and graduate courses in water resource planning and management as well as for practicing planners and engineers in the field.