2011 Fiscal Year Final Research Report
Structural Analysis of Mathematical Programming based on CombinatorialMatrix Theory
Project/Area Number |
21760057
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Research Category |
Grant-in-Aid for Young Scientists (B)
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Allocation Type | Single-year Grants |
Research Field |
Engineering fundamentals
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Research Institution | The University of Tokyo |
Principal Investigator |
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Project Period (FY) |
2009 – 2011
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Keywords | 組合せ最適化 / 定性的行列理論 / 疎性 / マッチング / グラフアルゴリズム / 点素サイクル |
Research Abstract |
Mathematical programming is a branch of mathematics concerned with optimization problems, in which one aims to find the best solution subject to some constraints, and it can be applied to a variety of engineering fields such as operations research. Combinatorial matrix theory is an approach to understand matrix structure using combinatorial methodology, which is useful for structural analysis of large linear systems in practice. In this research, we have analyzed mathematical programming problems based on combinatorial properties such as sign patterns or sparsity. In addition, we have developed combinatorial matrix theory in terms of mathematical programming applications.
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[Presentation] Robust Independence Systems2011
Author(s)
N. Kakimura and K. Makino
Organizer
The 38th International Colloquium on Automata
Place of Presentation
Languages and Programming (ICALP 2011), Zurich, Switzerland
Year and Date
20110704-08
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