Akiko Takeda (Ph.D.)
Title
Team Director
Members
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Team directorAkiko Takeda
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Research scientistPierre-louis Poirion
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Postdoctoral researcherJanharold Alcantara
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Postdoctoral researcherTrung Hieu Vu
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Postdoctoral researcherMitsuhiro Nishijima
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Visiting scientistBenjamin Poignard
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Visiting scientistAndi Han
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Part-time worker IMitsuaki Obara
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)
- FY2024 Research Results(PDF 2MB) (Japanese version)
- FY2023 Research Results(PDF 753KB) (Japanese version)
- 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)
Research Achievements
Related posts
posted on May 12, 2025 10:41Information
posted on May 12, 2025 10:12Information
posted on May 1, 2025 11:05Symposium
posted on April 30, 2025 21:12Information
posted on April 24, 2025 13:59Information
posted on March 30, 2025 15:23Information
posted on February 24, 2025 19:07Information
posted on January 27, 2025 13:54Information
posted on December 17, 2024 16:33Information
posted on November 27, 2024 18:18Information
posted on October 2, 2024 17:33Information
posted on July 12, 2024 11:54Information
posted on May 9, 2024 22:55Information
posted on October 20, 2022 17:53Seminar
posted on September 27, 2022 19:29Information
posted on October 8, 2021 16:33Information
posted on December 16, 2020 10:14Seminar
posted on September 11, 2019 12:00Information
posted on August 8, 2019 10:45Information
posted on May 16, 2019 13:52Information
