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Approximate Dynamic Programming for Dynamic Vehicle Routing, Ulmer Marlin Wolf


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Автор: Ulmer Marlin Wolf
Название:  Approximate Dynamic Programming for Dynamic Vehicle Routing
ISBN: 9783319856810
Издательство: Springer
Классификация:

ISBN-10: 3319856812
Обложка/Формат: Paperback
Страницы: 197
Вес: 0.33 кг.
Дата издания: 28.06.2018
Серия: Operations research/computer science interfaces series
Язык: English
Издание: Softcover reprint of
Иллюстрации: 6 tables, color; 6 illustrations, color; 49 illustrations, black and white; xxv, 197 p. 55 illus., 6 illus. in color.
Размер: 22.89 x 16.33 x 1.19 cm
Читательская аудитория: Professional & vocational
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book provides a straightforward overview for every researcher interested in stochastic dynamic vehicle routing problems (SDVRPs).


Approximate Dynamic Programming for Dynamic Vehicle Routing

Автор: Marlin Wolf Ulmer
Название: Approximate Dynamic Programming for Dynamic Vehicle Routing
ISBN: 3319555103 ISBN-13(EAN): 9783319555102
Издательство: Springer
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Цена: 15372.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book provides a straightforward overview for every researcher interested in stochastic dynamic vehicle routing problems (SDVRPs).

Handbook of Approximate Bayesian Computation

Автор: Sisson
Название: Handbook of Approximate Bayesian Computation
ISBN: 1439881502 ISBN-13(EAN): 9781439881507
Издательство: Taylor&Francis
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Цена: 26796.00 р.
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Описание: The Handbook of ABC provides illuminating insight into the world of Bayesian modelling for intractable models for both experts and newcomers alike. It is an essential reference book for anyone interested in learning about and implementing ABC techniques to analyse complex models in the modern world.

Mathematics of Epidemics on Networks: From Exact to Approximate Models

Автор: Kiss Istvбn Z., Miller Joel C., Simon Pйter L.
Название: Mathematics of Epidemics on Networks: From Exact to Approximate Models
ISBN: 3319844946 ISBN-13(EAN): 9783319844947
Издательство: Springer
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Цена: 9083.00 р.
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Описание: This textbook provides an exciting new addition to the area of network science featuring a stronger and more methodical link of models to their mathematical origin and explains how these relate to each other with special focus on epidemic spread on networks. The content of the book is at the interface of graph theory, stochastic processes and dynamical systems. The authors set out to make a significant contribution to closing the gap between model development and the supporting mathematics. This is done by: * Summarising and presenting the state-of-the-art in modeling epidemics on networks with results and readily usable models signposted throughout the book; * Presenting different mathematical approaches to formulate exact and solvable models; * Identifying the concrete links between approximate models and their rigorous mathematical representation; * Presenting a model hierarchy and clearly highlighting the links between model assumptions and model complexity; * Providing a reference source for advanced undergraduate students, as well as doctoral students, postdoctoral researchers and academic experts who are engaged in modeling stochastic processes on networks; * Providing software that can solve differential equation models or directly simulate epidemics on networks. Replete with numerous diagrams, examples, instructive exercises, and online access to simulation algorithms and readily usable code, this book will appeal to a wide spectrum of readers from different backgrounds and academic levels. Appropriate for students with or without a strong background in mathematics, this textbook can form the basis of an advanced undergraduate or graduate course in both mathematics and other departments alike.

Approximate Distributions of Order Statistics

Автор: Rolf-Dieter Reiss
Название: Approximate Distributions of Order Statistics
ISBN: 1461396220 ISBN-13(EAN): 9781461396222
Издательство: Springer
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Цена: 16769.00 р.
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Описание: This book is designed as a unified and mathematically rigorous treatment of some recent developments of the asymptotic distribution theory of order statistics (including the extreme order statistics) that are relevant for statistical theory and its applications.

Case-Based Approximate Reasoning

Автор: Eyke H?llermeier
Название: Case-Based Approximate Reasoning
ISBN: 9048174317 ISBN-13(EAN): 9789048174317
Издательство: Springer
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Цена: 23058.00 р.
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Описание: Making use of different frameworks of approximate reasoning and reasoning under uncertainty, notably probabilistic and fuzzy set-based techniques, this book develops formal models of the above inference principle, which is fundamental to CBR.

Approximate Behavior of Tandem Queues

Автор: G.F. Newell
Название: Approximate Behavior of Tandem Queues
ISBN: 3540095527 ISBN-13(EAN): 9783540095521
Издательство: Springer
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Цена: 18167.00 р.
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Описание: They first pass through a server with service rate ~O` vari- ance rate ~O` into a storage of finite capacity c . They then pass l through a server with service rate ~l` variance rate ~l` into a storage of capacity c ` etc., until finally, after passing through an nth server, 2 they go into an infinite reservoir (disappear).

Heuristics, Metaheuristics and Approximate Methods in Planning and Scheduling

Автор: Ghaith Rabadi
Название: Heuristics, Metaheuristics and Approximate Methods in Planning and Scheduling
ISBN: 3319260227 ISBN-13(EAN): 9783319260228
Издательство: Springer
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Цена: 13974.00 р.
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Описание: The scope of this book is limited to heuristics, metaheuristics, and approximate methods and algorithms as applied to planning and scheduling problems.

Heuristics, Metaheuristics and Approximate Methods in Planning and Scheduling

Автор: Rabadi Ghaith
Название: Heuristics, Metaheuristics and Approximate Methods in Planning and Scheduling
ISBN: 3319798782 ISBN-13(EAN): 9783319798783
Издательство: Springer
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Цена: 13974.00 р.
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Описание: The scope of this book is limited to heuristics, metaheuristics, and approximate methods and algorithms as applied to planning and scheduling problems.

Sequential Approximate Multiobjective Optimization Using Computational Intelligence

Автор: Hirotaka Nakayama; Yeboon Yun; Min Yoon
Название: Sequential Approximate Multiobjective Optimization Using Computational Intelligence
ISBN: 3642100309 ISBN-13(EAN): 9783642100307
Издательство: Springer
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Цена: 19564.00 р.
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Описание: This book highlights a new direction of multiobjective optimization. It introduces sophisticated methods for sequential approximate multiobjective optimization using computational intelligence along with real applications, mainly engineering problems.

Pro-active Dynamic Vehicle Routing

Автор: Francesco Ferrucci
Название: Pro-active Dynamic Vehicle Routing
ISBN: 3642436900 ISBN-13(EAN): 9783642436901
Издательство: Springer
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Цена: 20962.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Stochastic knowledge is generated from past request information by a new forecasting approach and is used in the pro-active approach to guide vehicles to request-likely areas before real requests arrive there.

Potential Function Methods for Approximately Solving Linear Programming Problems: Theory and Practice

Автор: Daniel Bienstock
Название: Potential Function Methods for Approximately Solving Linear Programming Problems: Theory and Practice
ISBN: 1475776721 ISBN-13(EAN): 9781475776720
Издательство: Springer
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Цена: 13974.00 р.
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Описание: Potential Function Methods For Approximately Solving Linear Programming Problems breaks new ground in linear programming theory. During the last ten years, a new body of research within the field of optimization research has emerged, which seeks to develop good approximation algorithms for classes of linear programming problems.

Markov Decision Processes: Discrete Stochastic Dynamic Programming

Автор: Martin L. Puterman
Название: Markov Decision Processes: Discrete Stochastic Dynamic Programming
ISBN: 0471727822 ISBN-13(EAN): 9780471727828
Издательство: Wiley
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Цена: 20584.00 р.
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Описание: This book is an up-to-date, unified and rigorous treatment of theoretical, computational and applied research on Markov decision process models. The concentration of the book is on infinite-horizon discrete-time models, and it also discusses arbitrary state spaces, finite-horizon and continuous-time discrete-state models.


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