Analysis of Iterative Solvers for Structured MAX-XORSAT
Project/Area Number |
25330264
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Research Category |
Grant-in-Aid for Scientific Research (C)
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Allocation Type | Multi-year Fund |
Section | 一般 |
Research Field |
Intelligent informatics
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Research Institution | Hiroshima City University |
Principal Investigator |
Mimura Kazushi 広島市立大学, 情報科学研究科, 准教授 (40353297)
|
Co-Investigator(Renkei-kenkyūsha) |
Watanabe Osamu 東京工業大学, 大学院情報理工学研究科, 教授 (80158617)
|
Research Collaborator |
Coolen A. C. C. King's College London, 教授
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Project Period (FY) |
2013-04-01 – 2016-03-31
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Project Status |
Completed (Fiscal Year 2015)
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Budget Amount *help |
¥4,030,000 (Direct Cost: ¥3,100,000、Indirect Cost: ¥930,000)
Fiscal Year 2015: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2014: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2013: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
|
Keywords | 充足可能性問題 / 反復解法 / 経路積分 / 疎結合系 / 経路積分法 |
Outline of Final Research Achievements |
The steady state of the parallel iterative algorithms for solving MAX-XORSAT is evaluated under some condition. In the case where a graph that represents a structure of the problem has loops, our research collaborator showed that its property can be analyzed by using the eigenvalue distribution of its incidence matrix. Some problems that have a similar mathematical structure are also analyzed.
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Report
(4 results)
Research Products
(31 results)
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[Presentation] Compressed sensing MRI using sparsity induced from adjacent slice similarity2015
Author(s)
Hirabayashi,A., Inamuro,N., Mimura,K., Kurihara,T., and Homma,T.
Organizer
International Conference on Sampling Theory and Applications 2015 (SampTA2015)
Place of Presentation
Washington DC, US
Year and Date
2015-05-25
Related Report
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