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Online Algorithms for Dynamic Resour...
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Columbia University.
Online Algorithms for Dynamic Resource Allocation Problems.
紀錄類型:
書目-語言資料,手稿 : Monograph/item
正題名/作者:
Online Algorithms for Dynamic Resource Allocation Problems./
作者:
Wang, Xinshang.
面頁冊數:
1 online resource (298 pages)
附註:
Source: Dissertation Abstracts International, Volume: 79-04(E), Section: B.
Contained By:
Dissertation Abstracts International79-04B(E).
標題:
Operations research. -
電子資源:
click for full text (PQDT)
ISBN:
9780355358650
Online Algorithms for Dynamic Resource Allocation Problems.
Wang, Xinshang.
Online Algorithms for Dynamic Resource Allocation Problems.
- 1 online resource (298 pages)
Source: Dissertation Abstracts International, Volume: 79-04(E), Section: B.
Thesis (Ph.D.)
Includes bibliographical references
Dynamic resource allocation problems are everywhere. Airlines reserve flight seats for those who purchase flight tickets. Healthcare facilities reserve appointment slots for patients who request them. Freight carriers such as motor carriers, railroad companies, and shipping companies pack containers with loads from specific origins to destinations.
Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018
Mode of access: World Wide Web
ISBN: 9780355358650Subjects--Topical Terms:
573517
Operations research.
Index Terms--Genre/Form:
554714
Electronic books.
Online Algorithms for Dynamic Resource Allocation Problems.
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Online Algorithms for Dynamic Resource Allocation Problems.
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Columbia University
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Dynamic resource allocation problems are everywhere. Airlines reserve flight seats for those who purchase flight tickets. Healthcare facilities reserve appointment slots for patients who request them. Freight carriers such as motor carriers, railroad companies, and shipping companies pack containers with loads from specific origins to destinations.
520
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We focus on optimizing such allocation problems where resources need to be assigned to customers in real time. These problems are particularly difficult to solve because they depend on random external information that unfolds gradually over time, and the number of potential solutions is overwhelming to search through by conventional methods.
520
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In this dissertation, we propose viable allocation algorithms for industrial use, by fully leveraging data and technology to produce gains in efficiency, productivity, and usability of new systems. The first chapter presents a summary of major methodologies used in modeling and algorithm design, and how the methodologies are driven by the size of accessible data.
520
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Chapters 2 to 5 present genuine research results of resource allocation problems that are based on Wang and Truong (2017); Wang et al. (2015); Stein et al. (2017); Wang et al. (2016). The algorithms and models cover problems in multiple industries, from a small clinic that aims to better utilize its expensive medical devices, to a technology giant that needs a cost-effective, distributed resource-allocation algorithm in order to maintain the relevance of its advertisements to hundreds of millions of consumers.
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2018
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click for full text (PQDT)
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