Dynamic Programming Decomposition For Choice Based Revenue Management With Flexible Products

Download Dynamic Programming Decomposition For Choice Based Revenue Management With Flexible Products full books in PDF, epub, and Kindle. Read online Dynamic Programming Decomposition For Choice Based Revenue Management With Flexible Products ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

Dynamic Programming Decomposition for Choice-Based Revenue Management with Flexible Products

Author : Sebastian Koch
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (137 download)

DOWNLOAD NOW!

Book Synopsis Dynamic Programming Decomposition for Choice-Based Revenue Management with Flexible Products by : Sebastian Koch

Download or read book Dynamic Programming Decomposition for Choice-Based Revenue Management with Flexible Products written by Sebastian Koch and published by . This book was released on 2018 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: We reconsider the stochastic dynamic program of revenue management with flexible products and customer choice behavior as proposed in the seminal paper by Gallego et al. [Gallego G, Iyengar G, Phillips R, Dubey A (2004) Managing flexible products on a network. Working paper, Columbia University, New York]. In the scientific literature on revenue management, as well as in practice, the prevailing strategy to operationalize dynamic programs is to decompose the network by resources and solve the resulting one-dimensional problems. However, up to now, these dynamic programming decomposition approaches have not been applicable to problems with flexible products, because the underlying state space is based on commitments rather than resources. In this paper, we contribute to the existing research by presenting an approach to operationalize revenue management with flexible products and customer choice in a dynamic programming environment. In particular, we propose a generic and formal procedure that transforms the original dynamic program with flexible products into an equivalent dynamic program with a resource-based state space. This reformulation renders the application of dynamic programming decomposition approaches possible. The procedure is based on Fourier-Motzkin elimination and is applicable to arbitrary network revenue management settings with regard to the considered network structure and the number and specifications of flexible products. Numerical experiments show a superior revenue performance of the new approach with average revenues close to the expected upper bound from the choice-based deterministic linear program (CDLP). Moreover, our reformulation improves revenues by up to 8% compared with an extended variant of a standard choice-based approach without flexible products that immediately assigns flexible products after sale.

Advanced Studies in Behaviormetrics and Data Science

Author : Tadashi Imaizumi
Publisher : Springer Nature
ISBN 13 : 9811527008
Total Pages : 472 pages
Book Rating : 4.8/5 (115 download)

DOWNLOAD NOW!

Book Synopsis Advanced Studies in Behaviormetrics and Data Science by : Tadashi Imaizumi

Download or read book Advanced Studies in Behaviormetrics and Data Science written by Tadashi Imaizumi and published by Springer Nature. This book was released on 2020-04-17 with total page 472 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on the latest developments in behaviormetrics and data science, covering a wide range of topics in data analysis and related areas of data science, including analysis of complex data, analysis of qualitative data, methods for high-dimensional data, dimensionality reduction, visualization of such data, multivariate statistical methods, analysis of asymmetric relational data, and various applications to real data. In addition to theoretical and methodological results, it also shows how to apply the proposed methods to a variety of problems, for example in consumer behavior, decision making, marketing data, and social network structures. Moreover, it discuses methodological aspects and applications in a wide range of areas, such as behaviormetrics; behavioral science; psychology; and marketing, management and social sciences. Combining methodological advances with real-world applications collected from a variety of research fields, the book is a valuable resource for researchers and practitioners, as well as for applied statisticians and data analysts.

Applications in Statistical Computing

Author : Nadja Bauer
Publisher : Springer Nature
ISBN 13 : 3030251470
Total Pages : 336 pages
Book Rating : 4.0/5 (32 download)

DOWNLOAD NOW!

Book Synopsis Applications in Statistical Computing by : Nadja Bauer

Download or read book Applications in Statistical Computing written by Nadja Bauer and published by Springer Nature. This book was released on 2019-10-12 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume presents a selection of research papers on various topics at the interface of statistics and computer science. Emphasis is put on the practical applications of statistical methods in various disciplines, using machine learning and other computational methods. The book covers fields of research including the design of experiments, computational statistics, music data analysis, statistical process control, biometrics, industrial engineering, and econometrics. Gathering innovative, high-quality and scientifically relevant contributions, the volume was published in honor of Claus Weihs, Professor of Computational Statistics at TU Dortmund University, on the occasion of his 66th birthday.

Dynamic Programming Decomposition Methods for Capacity Allocation and Network Revenue Management Problems

Author : Alexander Erdélyi
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (613 download)

DOWNLOAD NOW!

Book Synopsis Dynamic Programming Decomposition Methods for Capacity Allocation and Network Revenue Management Problems by : Alexander Erdélyi

Download or read book Dynamic Programming Decomposition Methods for Capacity Allocation and Network Revenue Management Problems written by Alexander Erdélyi and published by . This book was released on 2010 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this thesis, we develop decomposition-based approximate dynamic programming methods for problems in capacity allocation and network revenue management. Noting that the dynamic programming formulation of these problems suffers from the "curse of dimensionality", we demonstrate that a set of single-dimensional dynamic problems can be employed to provide approximate solutions to the original dynamic program. We show that the proposed approximations have two important characteristics: First, they provide relatively tight performance bounds on the optimal value of the stochastic optimization problem under consideration. Second, they give rise to policies that on average perform significantly better than a variety of benchmark methods found in the literature. We begin by focusing on network revenue management problems. We assume a profit maximizing airline operating a network of flight legs and processing itinerary requests arriving randomly over time. We consider several variants of the basic model and for each show that the dynamic programming formulation can be decomposed by flight legs into a set of single-leg revenue management problems. Furthermore, we demonstrate that the appropriate decomposition method gives rise to an upper bound on the optimal total expected revenue and that this upper bound is tighter than the upper bound provided by a deterministic linear program known from the literature. Finally, computational experiments show that the pol- icy based on the suggested value function approximation performs significantly better than a set of standard benchmark methods. In addition to network revenue management applications, we also consider a capacity allocation problem with a fixed amount of daily processing capacity. Here, the decision maker tries to minimize the cost of scheduling a set of jobs arriving randomly over time to be processed within a given planning horizon. The scheduling (holding) cost of a given job depends on its priority level and the length of its scheduled waiting period. In this setting, the decomposition approach that we suggest decomposes the problem by booking days. In particular, we replace the original dynamic program with a sequence of single-dimensional dynamic programs, each of which is concerned with capacity limitations on one particular booking day only. We show that our approach provides tight lower bounds on the minimum total expected holding cost. Furthermore, it gives rise to a scheduling policy that on average performs better than a variety of benchmark methods known from the literature.

Optimization and Decision Science

Author : Raffaele Cerulli
Publisher : Springer Nature
ISBN 13 : 3030868419
Total Pages : 249 pages
Book Rating : 4.0/5 (38 download)

DOWNLOAD NOW!

Book Synopsis Optimization and Decision Science by : Raffaele Cerulli

Download or read book Optimization and Decision Science written by Raffaele Cerulli and published by Springer Nature. This book was released on 2022-01-03 with total page 249 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book collects selected contributions from the international conference “Optimization and Decision Science” (ODS2020), which was held online on November 19, 2020, and organized by AIRO, the Italian Operations Research Society. The book offers new and original contributions on optimization, decisions science and prescriptive analytics from both a methodological and applied perspective, using models and methods based on continuous and discrete optimization, graph theory and network optimization, analytics, multiple criteria decision making, heuristics, metaheuristics, and exact methods. In addition to more theoretical contributions, the book chapters describe models and methods for addressing a wide diversity of real-world applications, spanning health, transportation, logistics, public sector, manufacturing, and emergency management. Although the book is aimed primarily at researchers and PhD students in the Operations Research community, the interdisciplinary content makes it interesting for practitioners facing complex decision-making problems in the afore-mentioned areas, as well as for scholars and researchers from other disciplines, including artificial intelligence, computer sciences, economics, mathematics, and engineering.

The Theory and Practice of Revenue Management

Author : Kalyan T. Talluri
Publisher : Springer Science & Business Media
ISBN 13 : 0387273913
Total Pages : 731 pages
Book Rating : 4.3/5 (872 download)

DOWNLOAD NOW!

Book Synopsis The Theory and Practice of Revenue Management by : Kalyan T. Talluri

Download or read book The Theory and Practice of Revenue Management written by Kalyan T. Talluri and published by Springer Science & Business Media. This book was released on 2006-02-21 with total page 731 pages. Available in PDF, EPUB and Kindle. Book excerpt: Revenue management (RM) has emerged as one of the most important new business practices in recent times. This book is the first comprehensive reference book to be published in the field of RM. It unifies the field, drawing from industry sources as well as relevant research from disparate disciplines, as well as documenting industry practices and implementation details. Successful hardcover version published in April 2004.

Multi-dimensional Problems in Single-resource Revenue Management

Author : Chao Ding
Publisher :
ISBN 13 :
Total Pages : 172 pages
Book Rating : 4.:/5 (826 download)

DOWNLOAD NOW!

Book Synopsis Multi-dimensional Problems in Single-resource Revenue Management by : Chao Ding

Download or read book Multi-dimensional Problems in Single-resource Revenue Management written by Chao Ding and published by . This book was released on 2012 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt: This dissertation addresses three multi-dimensional problems in single-resource revenue management. Many problems in revenue management involve managing a single resource but their dynamic programming formulation still requires using a multi-dimensional vector as the state variable. For instance, singleflight-leg revenue management is an extensively studied problem where airlines use the same seat resource to accommodate different classes of customers. In these problems, due to the multi-dimensional state space, the exact formulation is either intractable, or the resulting optimal policy is inconvenient to implement operationally. We develop approximations for the exact formulations, which generate tractable and operationally attractive policies. The first problem we study is a strategic decision problem about whether or not to discontinue a product sold under warranty, whose failure probabilities are unknown initially and are learnt as sales take place and failure information is accumulated. Since there are multiple types of failures that the product can fail from, we formulate the problem as a multi-dimensional optimal stopping problem with Bayesian learning. Two approximations based on dynamic programming decomposition and deterministic approximation are developed, and insights about the value of learning are extracted from asymptotic analysis. Next we study a dual-channel pricing and capacity allocation problem for hotel revenue management. While one channel is the spot market in which we can adopt dynamic pricing, the other is a conference market with a fixed price offered for conference participants. Remaining rooms in the conference market will be released to the spot market if not booked by a deadline. Tactical decisions on number of rooms to reserve and fixed price to offer for the conference market need to be made at the beginning of the selling horizon. For the operational pricing problem in the spot market, because the two markets will join together in a future time, we need a two-dimensional dynamic program which tracks the remaining capacities in both markets to make optimal pricing decisions in the spot market. We develop a single-dimensional approximation to the exact two-dimensional formulation, which generates a robust and operationally attractive policy. For the tactical problem of finding the optimal capacity allocation between spot and conference markets and choosing the fixed price to charge in the conference market, we construct an asymptotically optimal policy through a deterministic formulation. Finally, we consider a revenue management problem where we sell a product to multiple markets with heterogeneous price sensitivities. We can allocate the capacity to different markets and charge different prices in different markets (separate pricing), in which case we gain pricing flexibility, or we can merge all markets together and serve them with a common price (joint pricing), in which case we obtain capacity flexibility. We study the tradeoff between pricing and capacity flexibilities and establish conditions under which one is more important than the other. For a hybrid model where separate pricing is adopted early in the selling horizon and joint pricing is used towards the end, we develop a single-dimensional approximation which gives rise to a policy with remarkably good performance especially for problem instances with tight capacity, large number of markets, or drastically different price sensitivities.

Revenue Management and Pricing Analytics

Author : Guillermo Gallego
Publisher : Springer
ISBN 13 : 1493996061
Total Pages : 336 pages
Book Rating : 4.4/5 (939 download)

DOWNLOAD NOW!

Book Synopsis Revenue Management and Pricing Analytics by : Guillermo Gallego

Download or read book Revenue Management and Pricing Analytics written by Guillermo Gallego and published by Springer. This book was released on 2019-08-14 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: “There is no strategic investment that has a higher return than investing in good pricing, and the text by Gallego and Topaloghu provides the best technical treatment of pricing strategy and tactics available.” Preston McAfee, the J. Stanley Johnson Professor, California Institute of Technology and Chief Economist and Corp VP, Microsoft. “The book by Gallego and Topaloglu provides a fresh, up-to-date and in depth treatment of revenue management and pricing. It fills an important gap as it covers not only traditional revenue management topics also new and important topics such as revenue management under customer choice as well as pricing under competition and online learning. The book can be used for different audiences that range from advanced undergraduate students to masters and PhD students. It provides an in-depth treatment covering recent state of the art topics in an interesting and innovative way. I highly recommend it." Professor Georgia Perakis, the William F. Pounds Professor of Operations Research and Operations Management at the Sloan School of Management, Massachusetts Institute of Technology, Cambridge, Massachusetts. “This book is an important and timely addition to the pricing analytics literature by two authors who have made major contributions to the field. It covers traditional revenue management as well as assortment optimization and dynamic pricing. The comprehensive treatment of choice models in each application is particularly welcome. It is mathematically rigorous but accessible to students at the advanced undergraduate or graduate levels with a rich set of exercises at the end of each chapter. This book is highly recommended for Masters or PhD level courses on the topic and is a necessity for researchers with an interest in the field.” Robert L. Phillips, Director of Pricing Research at Amazon “At last, a serious and comprehensive treatment of modern revenue management and assortment optimization integrated with choice modeling. In this book, Gallego and Topaloglu provide the underlying model derivations together with a wide range of applications and examples; all of these facets will better equip students for handling real-world problems. For mathematically inclined researchers and practitioners, it will doubtless prove to be thought-provoking and an invaluable reference.” Richard Ratliff, Research Scientist at Sabre “This book, written by two of the leading researchers in the area, brings together in one place most of the recent research on revenue management and pricing analytics. New industries (ride sharing, cloud computing, restaurants) and new developments in the airline and hotel industries make this book very timely and relevant, and will serve as a critical reference for researchers.” Professor Kalyan Talluri, the Munjal Chair in Global Business and Operations, Imperial College, London, UK.

Approximate Dynamic Programming

Author : Warren B. Powell
Publisher : John Wiley & Sons
ISBN 13 : 0470182954
Total Pages : 487 pages
Book Rating : 4.4/5 (71 download)

DOWNLOAD NOW!

Book Synopsis Approximate Dynamic Programming by : Warren B. Powell

Download or read book Approximate Dynamic Programming written by Warren B. Powell and published by John Wiley & Sons. This book was released on 2007-10-05 with total page 487 pages. Available in PDF, EPUB and Kindle. Book excerpt: A complete and accessible introduction to the real-world applications of approximate dynamic programming With the growing levels of sophistication in modern-day operations, it is vital for practitioners to understand how to approach, model, and solve complex industrial problems. Approximate Dynamic Programming is a result of the author's decades of experience working in large industrial settings to develop practical and high-quality solutions to problems that involve making decisions in the presence of uncertainty. This groundbreaking book uniquely integrates four distinct disciplines—Markov design processes, mathematical programming, simulation, and statistics—to demonstrate how to successfully model and solve a wide range of real-life problems using the techniques of approximate dynamic programming (ADP). The reader is introduced to the three curses of dimensionality that impact complex problems and is also shown how the post-decision state variable allows for the use of classical algorithmic strategies from operations research to treat complex stochastic optimization problems. Designed as an introduction and assuming no prior training in dynamic programming of any form, Approximate Dynamic Programming contains dozens of algorithms that are intended to serve as a starting point in the design of practical solutions for real problems. The book provides detailed coverage of implementation challenges including: modeling complex sequential decision processes under uncertainty, identifying robust policies, designing and estimating value function approximations, choosing effective stepsize rules, and resolving convergence issues. With a focus on modeling and algorithms in conjunction with the language of mainstream operations research, artificial intelligence, and control theory, Approximate Dynamic Programming: Models complex, high-dimensional problems in a natural and practical way, which draws on years of industrial projects Introduces and emphasizes the power of estimating a value function around the post-decision state, allowing solution algorithms to be broken down into three fundamental steps: classical simulation, classical optimization, and classical statistics Presents a thorough discussion of recursive estimation, including fundamental theory and a number of issues that arise in the development of practical algorithms Offers a variety of methods for approximating dynamic programs that have appeared in previous literature, but that have never been presented in the coherent format of a book Motivated by examples from modern-day operations research, Approximate Dynamic Programming is an accessible introduction to dynamic modeling and is also a valuable guide for the development of high-quality solutions to problems that exist in operations research and engineering. The clear and precise presentation of the material makes this an appropriate text for advanced undergraduate and beginning graduate courses, while also serving as a reference for researchers and practitioners. A companion Web site is available for readers, which includes additional exercises, solutions to exercises, and data sets to reinforce the book's main concepts.

Hotel Revenue Management: From Theory to Practice

Author : Stanislav Ivanov
Publisher : Zangador
ISBN 13 : 9549278638
Total Pages : 205 pages
Book Rating : 4.5/5 (492 download)

DOWNLOAD NOW!

Book Synopsis Hotel Revenue Management: From Theory to Practice by : Stanislav Ivanov

Download or read book Hotel Revenue Management: From Theory to Practice written by Stanislav Ivanov and published by Zangador. This book was released on 2014-03-15 with total page 205 pages. Available in PDF, EPUB and Kindle. Book excerpt: This research monograph aims at developing an integrative framework of hotel revenue management. It elaborates the fundamental theoretical concepts in the field of hotel revenue management like the revenue management system, process, metrics, analysis, forecasting, segmentation and profiling, and ethical issues. Special attention is paid on the pricing and non-pricing revenue management tools used by hoteliers to maximise their revenues and gross operating profit. The monograph investigates the revenue management practices of accommodation establishments in Bulgaria and provides recommendations for their improvement. The book is suitable for undergraduate and graduate students in tourism, hospitality, hotel management, services studies programmes, and researchers interested in revenue/yield management. The book may also be used by hotel general managers, marketing managers, revenue managers and other practitioners looking for ways to improve their knowledge in the field.

Joint Product Design and Dynamic Assortment Optimization

Author : Mengxin Wang
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (137 download)

DOWNLOAD NOW!

Book Synopsis Joint Product Design and Dynamic Assortment Optimization by : Mengxin Wang

Download or read book Joint Product Design and Dynamic Assortment Optimization written by Mengxin Wang and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Revenue management decisions often have both strategic and tactical components. Strategic decisions happen first and set the broad and long-term operational context in which tactical decisions are frequently and repeatedly made, often on a weekly or daily basis. We consider a joint optimization of both strategic and tactical decisions. Specifically, we examine a setting in which the strategic decision is to choose product designs (e.g., price, capacity, return eligibility, and other characteristics) and the tactical decision involves the dynamic assortment optimization over a selling season. Our formulation has many applications, including optimizing products' return eligibility and determining product discounts. We formulate an optimization problem that combines the impact on the expected revenue of both strategic and tactical decisions. To determine the product design, we reformulate the choice-based deterministic linear program, solve its continuous relaxation, and round the resulting solution. By using value function approximations, we obtain a dynamic assortment policy whose expected revenue is at least a constant fraction of the choice-based deterministic linear program, for every product design decision. Combining these two results, we show that our approach provides an approximate solution to the joint optimization with performance guarantees. Numerical experiments based on real transaction data from a major U.S. retailer show that our method has 95%-97% effectiveness, which represents a 10%-13% advantage over methods that fail to fully integrate strategic and tactical decisions. The experiments also demonstrate the prominent role of product design, which explains 85.4% of the total variation of empirically observed effectiveness across different methods.

Dynamic Fleet Management

Author : Vasileios S. Zeimpekis
Publisher : Springer Science & Business Media
ISBN 13 : 0387717226
Total Pages : 249 pages
Book Rating : 4.3/5 (877 download)

DOWNLOAD NOW!

Book Synopsis Dynamic Fleet Management by : Vasileios S. Zeimpekis

Download or read book Dynamic Fleet Management written by Vasileios S. Zeimpekis and published by Springer Science & Business Media. This book was released on 2007-10-05 with total page 249 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on real time management of distribution systems, integrating the latest results in system design, algorithm development and system implementation to capture the state-of-the art research and application trends. The book important topics such as goods dispatching, couriers, rescue and repair services, taxi cab services, and more. The book includes real-life case studies that describe the solution to actual distribution problems by combining systemic and algorithmic approaches.

Segmentation, Revenue Management and Pricing Analytics

Author : Tudor Bodea
Publisher : Routledge
ISBN 13 : 1136624848
Total Pages : 267 pages
Book Rating : 4.1/5 (366 download)

DOWNLOAD NOW!

Book Synopsis Segmentation, Revenue Management and Pricing Analytics by : Tudor Bodea

Download or read book Segmentation, Revenue Management and Pricing Analytics written by Tudor Bodea and published by Routledge. This book was released on 2014-03-21 with total page 267 pages. Available in PDF, EPUB and Kindle. Book excerpt: The practices of revenue management and pricing analytics have transformed the transportation and hospitality industries, and are increasingly important in industries as diverse as retail, telecommunications, banking, health care and manufacturing. Segmentation, Revenue Management and Pricing Analytics guides students and professionals on how to identify and exploit revenue management and pricing opportunities in different business contexts. Bodea and Ferguson introduce concepts and quantitative methods for improving profit through capacity allocation and pricing. Whereas most marketing textbooks cover more traditional, qualitative methods for determining customer segments and prices, this book uses historical sales data with mathematical optimization to make those decisions. With hands-on practice and a fundamental understanding of some of the most common analytical models, readers will be able to make smarter business decisions and higher profits. This book will be a useful and enlightening read for MBA students in pricing and revenue management, marketing, and service operations.

Engineering Design Optimization

Author : Joaquim R. R. A. Martins
Publisher : Cambridge University Press
ISBN 13 : 110898861X
Total Pages : 653 pages
Book Rating : 4.1/5 (89 download)

DOWNLOAD NOW!

Book Synopsis Engineering Design Optimization by : Joaquim R. R. A. Martins

Download or read book Engineering Design Optimization written by Joaquim R. R. A. Martins and published by Cambridge University Press. This book was released on 2021-11-18 with total page 653 pages. Available in PDF, EPUB and Kindle. Book excerpt: Based on course-tested material, this rigorous yet accessible graduate textbook covers both fundamental and advanced optimization theory and algorithms. It covers a wide range of numerical methods and topics, including both gradient-based and gradient-free algorithms, multidisciplinary design optimization, and uncertainty, with instruction on how to determine which algorithm should be used for a given application. It also provides an overview of models and how to prepare them for use with numerical optimization, including derivative computation. Over 400 high-quality visualizations and numerous examples facilitate understanding of the theory, and practical tips address common issues encountered in practical engineering design optimization and how to address them. Numerous end-of-chapter homework problems, progressing in difficulty, help put knowledge into practice. Accompanied online by a solutions manual for instructors and source code for problems, this is ideal for a one- or two-semester graduate course on optimization in aerospace, civil, mechanical, electrical, and chemical engineering departments.

The Global Airline Industry

Author : Peter Belobaba
Publisher : John Wiley & Sons
ISBN 13 : 1118881141
Total Pages : 536 pages
Book Rating : 4.1/5 (188 download)

DOWNLOAD NOW!

Book Synopsis The Global Airline Industry by : Peter Belobaba

Download or read book The Global Airline Industry written by Peter Belobaba and published by John Wiley & Sons. This book was released on 2015-07-06 with total page 536 pages. Available in PDF, EPUB and Kindle. Book excerpt: Extensively revised and updated edition of the bestselling textbook, provides an overview of recent global airline industry evolution and future challenges Examines the perspectives of the many stakeholders in the global airline industry, including airlines, airports, air traffic services, governments, labor unions, in addition to passengers Describes how these different players have contributed to the evolution of competition in the global airline industry, and the implications for its future evolution Includes many facets of the airline industry not covered elsewhere in any single book, for example, safety and security, labor relations and environmental impacts of aviation Highlights recent developments such as changing airline business models, growth of emerging airlines, plans for modernizing air traffic management, and opportunities offered by new information technologies for ticket distribution Provides detailed data on airline performance and economics updated through 2013

Geometric Programming for Communication Systems

Author : Mung Chiang
Publisher : Now Publishers Inc
ISBN 13 : 9781933019093
Total Pages : 172 pages
Book Rating : 4.0/5 (19 download)

DOWNLOAD NOW!

Book Synopsis Geometric Programming for Communication Systems by : Mung Chiang

Download or read book Geometric Programming for Communication Systems written by Mung Chiang and published by Now Publishers Inc. This book was released on 2005 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recently Geometric Programming has been applied to study a variety of problems in the analysis and design of communication systems from information theory and queuing theory to signal processing and network protocols. Geometric Programming for Communication Systems begins its comprehensive treatment of the subject by providing an in-depth tutorial on the theory, algorithms, and modeling methods of Geometric Programming. It then gives a systematic survey of the applications of Geometric Programming to the study of communication systems. It collects in one place various published results in this area, which are currently scattered in several books and many research papers, as well as to date unpublished results. Geometric Programming for Communication Systems is intended for researchers and students who wish to have a comprehensive starting point for understanding the theory and applications of geometric programming in communication systems.

Aimms Optimization Modeling

Author : Johannes Bisschop
Publisher : Lulu.com
ISBN 13 : 1847539122
Total Pages : 318 pages
Book Rating : 4.8/5 (475 download)

DOWNLOAD NOW!

Book Synopsis Aimms Optimization Modeling by : Johannes Bisschop

Download or read book Aimms Optimization Modeling written by Johannes Bisschop and published by Lulu.com. This book was released on 2006 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: The AIMMS Optimization Modeling book provides not only an introduction to modeling but also a suite of worked examples. It is aimed at users who are new to modeling and those who have limited modeling experience. Both the basic concepts of optimization modeling and more advanced modeling techniques are discussed. The Optimization Modeling book is AIMMS version independent.