Akiko Takeda (Ph.D.)
Members
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Team leaderAkiko Takeda
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Research scientistPierre-louis Poirion
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Postdoctoral researcherJanharold Alcantara
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Postdoctoral researcherAndi Han
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Visiting scientistTakayuki Okuno
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Visiting scientistMirai Tanaka
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Visiting scientistBenjamin Poignard
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Part-time worker IITomoya Kamijima
Introduction
Our team focuses on mathematical optimization. An optimization problem is the problem of finding the best solution from all feasible solutions. By formulating various real-world problems as optimization problems and solving them by efficient algorithms, we can find their reasonable solutions. Optimization algorithms are applicable not only to machine learning problems but also to various applications, e.g., of production research and industrial engineering. However some problems such as nonconvex optimization and uncertain optimization problems are difficult to solve. Currently, we are working on efficient algorithms for such difficult optimization problems.
Main Research Field
Computer Science
Research Field
Engineering / Economics & Business
Research Subjects
Mathematical Optimization
Nonconvex Optimization
Uncertainty
Nonconvex Optimization
Uncertainty
Laboratory Website URL
RIKEN Website URL
Introduction Video
Poster(s)
- FY2022 Research Results(PDF 1.29MB)(Japanese version)
- FY2021 Research Results(PDF 1.39MB)(Japanese version)
- FY2019 Research Results (Japanese version)
- FY2018 Research Results (Japanese version)
Related posts
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posted on August 8, 2019 10:45Information
posted on May 16, 2019 13:52Information
