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Exploiting structure in combinatoria...

Dilkina, Bistra.

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Exploiting structure in combinatorial problems with applications in computational sustainability.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Exploiting structure in combinatorial problems with applications in computational sustainability./
作者:	Dilkina, Bistra.
面頁冊數:	214 p.
附註:	Source: Dissertation Abstracts International, Volume: 73-09(E), Section: B.
Contained By:	Dissertation Abstracts International73-09B(E).
標題:	Computer Science. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3506777
ISBN:	9781267299239

Exploiting structure in combinatorial problems with applications in computational sustainability.
Dilkina, Bistra.

Exploiting structure in combinatorial problems with applications in computational sustainability. - 214 p.

Source: Dissertation Abstracts International, Volume: 73-09(E), Section: B.

Thesis (Ph.D.)--Cornell University, 2011.

Combinatorial decision and optimization problems are at the core of many tasks with practical importance in areas as diverse as planning and scheduling, supply chain management, hardware and software verification, electronic commerce, and computational biology. Another important source of combinatorial problems is the newly emerging field of computational sustainability, which addresses decision-making aimed at balancing social, economic and environmental needs to guarantee the long-term prosperity of life on our planet.

ISBN: 9781267299239Subjects--Topical Terms:

626642
Computer Science.

Exploiting structure in combinatorial problems with applications in computational sustainability.
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245 1 0 $a Exploiting structure in combinatorial problems with applications in computational sustainability.
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500 $a Adviser: Carla Gomes.
502 $a Thesis (Ph.D.)--Cornell University, 2011.
520 $a Combinatorial decision and optimization problems are at the core of many tasks with practical importance in areas as diverse as planning and scheduling, supply chain management, hardware and software verification, electronic commerce, and computational biology. Another important source of combinatorial problems is the newly emerging field of computational sustainability, which addresses decision-making aimed at balancing social, economic and environmental needs to guarantee the long-term prosperity of life on our planet.
520 $a This dissertation studies different forms of problem structure that can be exploited in developing scalable algorithmic techniques capable of addressing large real-world combinatorial problems. There are three major contributions in this work: (1) We study a form of hidden problem structure called a backdoor, a set of key decision variables that captures the combinatorics of the problem, and reveal that many real-world problems encoded as Boolean satisfiability or mixed-integer linear programs contain small backdoors. We study backdoors both theoretically and empirically and characterize important tradeoffs between the computational complexity of finding backdoors and their effectiveness in capturing problem structure succinctly. (2) We contribute several domain-specific mathematical formulations and algorithmic techniques that exploit specific aspects of problem structure arising in budget-constrained conservation planning for wildlife habitat connectivity. Our solution approaches scale to real-world conservation settings and provide important decision-support tools for cost--benefit analysis. (3) We propose a new survey-planning methodology to assist in the construction of accurate predictive models, which are especially relevant in sustainability areas such as species-distribution prediction and climate-change impact studies. In particular, we design a technique that takes advantage of submodularity, a structural property of the function to be optimized, and results in a polynomial-time procedure with approximation guarantees.
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