Stochastic Models In Operations Research Volume Ii
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Stochastic Models In Operations Research Stochastic Optimization
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Author : Daniel P. Heyman
language : en
Publisher: Courier Corporation
Release Date : 2004-01-01
Stochastic Models In Operations Research Stochastic Optimization written by Daniel P. Heyman and has been published by Courier Corporation this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-01-01 with Mathematics categories.
This two-volume set of texts explores the central facts and ideas of stochastic processes, illustrating their use in models based on applied and theoretical investigations. They demonstrate the interdependence of three areas of study that usually receive separate treatments: stochastic processes, operating characteristics of stochastic systems, and stochastic optimization. Comprehensive in its scope, they emphasize the practical importance, intellectual stimulation, and mathematical elegance of stochastic models and are intended primarily as graduate-level texts.
Stochastic Models In Operations Research
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Author : Daniel P. Heyman
language : en
Publisher: Courier Corporation
Release Date : 2004-01-01
Stochastic Models In Operations Research written by Daniel P. Heyman and has been published by Courier Corporation this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-01-01 with Mathematics categories.
This volume of a 2-volume set explores the central facts and ideas of stochastic processes, illustrating their use in models based on applied and theoretical investigations. Explores stochastic processes, operating characteristics of stochastic systems, and stochastic optimization. Comprehensive in its scope, this graduate-level text emphasizes the practical importance, intellectual stimulation, and mathematical elegance of stochastic models.
Stochastic Models In Operations Research Volume Ii
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Author : Daniel P. Heyman
language : it
Publisher:
Release Date : 1982
Stochastic Models In Operations Research Volume Ii written by Daniel P. Heyman and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1982 with categories.
Optimization And Operations Research Volume Ii
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Author : Ulrich Derigs
language : en
Publisher: EOLSS Publications
Release Date : 2009-02-09
Optimization And Operations Research Volume Ii written by Ulrich Derigs and has been published by EOLSS Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-02-09 with categories.
Optimization and Operations Research is a component of Encyclopedia of Mathematical Sciences in the global Encyclopedia of Life Support Systems (EOLSS), which is an integrated compendium of twenty one Encyclopedias. The Theme on Optimization and Operations Research is organized into six different topics which represent the main scientific areas of the theme: 1. Fundamentals of Operations Research; 2. Advanced Deterministic Operations Research; 3. Optimization in Infinite Dimensions; 4. Game Theory; 5. Stochastic Operations Research; 6. Decision Analysis, which are then expanded into multiple subtopics, each as a chapter. These four volumes are aimed at the following five major target audiences: University and College students Educators, Professional Practitioners, Research Personnel and Policy Analysts, Managers, and Decision Makers and NGOs.
Essentials Of Logistics And Management
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Author : Francis-Luc Perret
language : en
Publisher: EPFL Press
Release Date : 2007-09-07
Essentials Of Logistics And Management written by Francis-Luc Perret and has been published by EPFL Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-09-07 with Business & Economics categories.
The Essentials of Logistics and Management provides a broad expertly guided investigation into the knowledge required to maximize the practice of logistics in a way that contributes to a company's growth. The text elaborates upon a conceptual framework in which the role of all stakeholders and possible logistics are analyzed in a systematic approach that explores customer relations management, interactive information support, production optimization, and operations management, as well as human resources and resource allocation. The purpose of this book is help managers employ vision and strategy in developing a methodology that identifies, evaluates, and utilizes all critical factors.
Computational Intelligence In Communications And Business Analytics
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Author : Jyoti Prakash Singh
language : en
Publisher: Springer Nature
Release Date : 2025-02-11
Computational Intelligence In Communications And Business Analytics written by Jyoti Prakash Singh and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-11 with Computers categories.
This three-volume set CCIS 2366-2368 constitutes the refereed proceedings of the 6th International Conference on Computational Intelligence in Communications and Business Analytics, CICBA 2024, held in Patna, India, during January 23–25, 2024. The 82 full papers presented in this volume were carefully reviewed and selected from 249 submissions. Together, these papers showcase cutting-edge research in the fields of computational intelligence and business analytics, covering a broad range of topics.
Fuzzy Information Processing 2020
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Author : Barnabás Bede
language : en
Publisher: Springer Nature
Release Date : 2021-12-08
Fuzzy Information Processing 2020 written by Barnabás Bede and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-08 with Technology & Engineering categories.
This book describes how to use expert knowledge—which is often formulated by using imprecise (fuzzy) words from a natural language. In the 1960s, Zadeh designed special "fuzzy" techniques for such use. In the 1980s, fuzzy techniques started controlling trains, elevators, video cameras, rice cookers, car transmissions, etc. Now, combining fuzzy with neural, genetic, and other intelligent methods leads to new state-of-the-art results: in aerospace industry (from drones to space flights), in mobile robotics, in finances (predicting the value of crypto-currencies), and even in law enforcement (detecting counterfeit banknotes, detecting online child predators and in creating explainable AI systems). The book describes these (and other) applications—as well as foundations and logistics of fuzzy techniques. This book can be recommended to specialists—both in fuzzy and in various application areas—who will learn latest techniques and their applications, and to students interested in innovative ideas.
Real Options In Energy And Commodity Markets
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Author : Nicola Secomandi
language : en
Publisher: World Scientific
Release Date : 2016-11-28
Real Options In Energy And Commodity Markets written by Nicola Secomandi and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-11-28 with Business & Economics categories.
The field of real options is concerned with the management and financial valuation of operational flexibility in business endeavors. From the very outset, energy and commodity markets — which play fundamental roles in the worldwide economy — have provided a relevant context for real option analysis, both in theory and practice.This volume is a collection of six chapters covering recent research on real options in energy and commodity markets, reflecting the significance of these markets for real option analysis. The volume is divided into two parts — the first on theory and the second on methods and applications.The two chapters in the first part of the book respectively address commodity storage and the concept of convenience yield, and how the management of real options can be impacted by the trader's own market decisions in the context of commodity shipping.The four chapters in the second part of the book propose and apply real option models in various domains — modeling the evolution of futures prices of emission certificates; managing copper extraction illustrated with an application to a project at Codelco, Chile, the largest copper producer in the world; the core ideas behind real option analysis in the context of the merchant management of hydrocarbon cracking operations; and optimizing the portfolio of contracts that oil refineries use to market their gasoline production.
Discrete Time Markov Control Processes
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Author : Onesimo Hernandez-Lerma
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Discrete Time Markov Control Processes written by Onesimo Hernandez-Lerma and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Mathematics categories.
This book presents the first part of a planned two-volume series devoted to a systematic exposition of some recent developments in the theory of discrete-time Markov control processes (MCPs). Interest is mainly confined to MCPs with Borel state and control (or action) spaces, and possibly unbounded costs and noncompact control constraint sets. MCPs are a class of stochastic control problems, also known as Markov decision processes, controlled Markov processes, or stochastic dynamic pro grams; sometimes, particularly when the state space is a countable set, they are also called Markov decision (or controlled Markov) chains. Regardless of the name used, MCPs appear in many fields, for example, engineering, economics, operations research, statistics, renewable and nonrenewable re source management, (control of) epidemics, etc. However, most of the lit erature (say, at least 90%) is concentrated on MCPs for which (a) the state space is a countable set, and/or (b) the costs-per-stage are bounded, and/or (c) the control constraint sets are compact. But curiously enough, the most widely used control model in engineering and economics--namely the LQ (Linear system/Quadratic cost) model-satisfies none of these conditions. Moreover, when dealing with "partially observable" systems) a standard approach is to transform them into equivalent "completely observable" sys tems in a larger state space (in fact, a space of probability measures), which is uncountable even if the original state process is finite-valued.
Markov Processes For Stochastic Modeling
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Author : Oliver Ibe
language : en
Publisher: Newnes
Release Date : 2013-05-22
Markov Processes For Stochastic Modeling written by Oliver Ibe and has been published by Newnes this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-05-22 with Mathematics categories.
Markov processes are processes that have limited memory. In particular, their dependence on the past is only through the previous state. They are used to model the behavior of many systems including communications systems, transportation networks, image segmentation and analysis, biological systems and DNA sequence analysis, random atomic motion and diffusion in physics, social mobility, population studies, epidemiology, animal and insect migration, queueing systems, resource management, dams, financial engineering, actuarial science, and decision systems. Covering a wide range of areas of application of Markov processes, this second edition is revised to highlight the most important aspects as well as the most recent trends and applications of Markov processes. The author spent over 16 years in the industry before returning to academia, and he has applied many of the principles covered in this book in multiple research projects. Therefore, this is an applications-oriented book that also includes enough theory to provide a solid ground in the subject for the reader. - Presents both the theory and applications of the different aspects of Markov processes - Includes numerous solved examples as well as detailed diagrams that make it easier to understand the principle being presented - Discusses different applications of hidden Markov models, such as DNA sequence analysis and speech analysis.