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Development of new efficient structure-preserving numerical methods based on model reductions

Research Project

Project/Area Number 17H02826
Research Category

Grant-in-Aid for Scientific Research (B)

Allocation TypeSingle-year Grants
Section一般
Research Field Computational science
Research InstitutionThe University of Tokyo

Principal Investigator

Matsuo Takayasu  東京大学, 大学院情報理工学系研究科, 教授 (90293670)

Co-Investigator(Kenkyū-buntansha) 相島 健助  法政大学, 情報科学部, 准教授 (40609658)
Project Period (FY) 2017-04-01 – 2021-03-31
Project Status Completed (Fiscal Year 2021)
Budget Amount *help
¥17,160,000 (Direct Cost: ¥13,200,000、Indirect Cost: ¥3,960,000)
Fiscal Year 2020: ¥4,680,000 (Direct Cost: ¥3,600,000、Indirect Cost: ¥1,080,000)
Fiscal Year 2019: ¥3,640,000 (Direct Cost: ¥2,800,000、Indirect Cost: ¥840,000)
Fiscal Year 2018: ¥3,900,000 (Direct Cost: ¥3,000,000、Indirect Cost: ¥900,000)
Fiscal Year 2017: ¥4,940,000 (Direct Cost: ¥3,800,000、Indirect Cost: ¥1,140,000)
Keywords数値解析 / 構造保存解法 / モデル縮減 / 数値計算 / 応用数学 / 数理工学
Outline of Final Research Achievements

In this research plan, we aimed at the development of a new structure-preserving numerical methods incorporating with model reduction techniques. As results, we have verified the effectiveness of some symplectic model reduction techniques, and obtained a new structure-preserving method for dissipative systems with model reduction mechanism, as desired. In addition to that, in search of such new methods, we have obtained several new fundamental tools including a new structure-preserving method based on Poisson and Nambu brackets, and a rigorous theoretical analysis for dynamical mode decompositions.

Academic Significance and Societal Importance of the Research Achievements

数値解析,とりわけ微分方程式に対する構造保存解法は,現代の科学・工学を支える重要な技術である.本研究は,拡大を続ける現代科学・工学の諸問題に対処するために,この技術をモデル縮減の技法を採り入れて進化させるものである.これにより,従来,既存の構造保存解法では解けなかった大規模問題が解かれることが期待される.また,構造保存解法や動的モード分解などに関する基礎的知見も得られ,数値解析学の前進に寄与した.

Report

(5 results)
  • 2021 Final Research Report ( PDF )
  • 2020 Annual Research Report
  • 2019 Annual Research Report
  • 2018 Annual Research Report
  • 2017 Annual Research Report
  • Research Products

    (17 results)

All 2019 2018 2017

All Journal Article (5 results) (of which Int'l Joint Research: 1 results,  Peer Reviewed: 5 results,  Open Access: 2 results,  Acknowledgement Compliant: 1 results) Presentation (11 results) (of which Int'l Joint Research: 3 results,  Invited: 3 results) Funded Workshop (1 results)

  • [Journal Article] On spatial discretization of evolutionary differential equations on the periodic domain with a mixed derivative2019

    • Author(s)
      Shun Sato, Takayasu Matsuo
    • Journal Title

      Journal of Computational and Applied Mathematics

      Volume: 358 Pages: 221-240

    • DOI

      10.1016/j.cam.2019.03.021

    • Related Report
      2019 Annual Research Report
    • Peer Reviewed
  • [Journal Article] A robust numerical integrator for the short pulse equation near criticality2019

    • Author(s)
      S. Sato, K. Oguma, B.-F. Feng, and T. Matsuo
    • Journal Title

      J. Comput. Appl. Math.

      Volume: 361 Pages: 343-365

    • DOI

      10.1016/j.cam.2019.04.002

    • Related Report
      2019 Annual Research Report
    • Peer Reviewed / Int'l Joint Research
  • [Journal Article] Iterative refinement for symmetric eigenvalue decomposition II: clustered eigenvalues2019

    • Author(s)
      Ogita Takeshi、Aishima Kensuke
    • Journal Title

      Japan Journal of Industrial and Applied Mathematics

      Volume: 印刷中 Issue: 2 Pages: 435-459

    • DOI

      10.1007/s13160-019-00348-4

    • NAID

      210000174658

    • Related Report
      2019 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Extension of an error analysis of the randomized Kaczmarz method for inconsistent linear systems2018

    • Author(s)
      Y. Morijiri, K. Aishima and T. Matsuo
    • Journal Title

      JSIAM Letters

      Volume: 印刷中

    • NAID

      130007404199

    • Related Report
      2017 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] On convergence of iterative projection methods for symmetric eigenvalue problems2017

    • Author(s)
      Kensuke Aishima
    • Journal Title

      Journal of Computational and Applied Mathematics

      Volume: 311 Pages: 513-521

    • DOI

      10.1016/j.cam.2016.08.035

    • Related Report
      2017 Annual Research Report
    • Peer Reviewed / Acknowledgement Compliant
  • [Presentation] 逆一般化固有値問題に対する二次収束解法とその収束理論2019

    • Author(s)
      相島健助
    • Organizer
      日本応用数理学会 研究部会 連合発表会
    • Related Report
      2019 Annual Research Report
  • [Presentation] 動的モード分解のノイズ除去の効果に対する統計解析2019

    • Author(s)
      相島健助
    • Organizer
      日本応用数理学会2019年度年会
    • Related Report
      2019 Annual Research Report
  • [Presentation] 動的モード分解に対する確率解析2019

    • Author(s)
      相島健助
    • Organizer
      京都大学数理解析研究所 研究集会「諸科学分野を結ぶ基礎学問としての数値解析学」
    • Related Report
      2019 Annual Research Report
    • Invited
  • [Presentation] 南部括弧に基づく構造保存数値解法に関する一考察2018

    • Author(s)
      杉渕 優也, 松尾 宇泰, 佐藤 峻
    • Organizer
      日本応用数理学会2018年研究部会連合発表会
    • Related Report
      2017 Annual Research Report
  • [Presentation] 散逸型微分方程式に対する各種モデル縮減手法の検討2018

    • Author(s)
      柳澤 広大, 松尾 宇泰
    • Organizer
      日本応用数理学会2018年研究部会連合発表会
    • Related Report
      2017 Annual Research Report
  • [Presentation] Toward Modern Scientific Computations Based on Structure-Preserving Methods2018

    • Author(s)
      T. Matsuo and Y. Miyatake
    • Organizer
      SIAM PP 2018
    • Related Report
      2017 Annual Research Report
    • Int'l Joint Research
  • [Presentation] 物理系のシミュレーションにおける構造保存数値解法について2017

    • Author(s)
      松尾宇泰
    • Organizer
      核融合研MHD研究会
    • Related Report
      2017 Annual Research Report
    • Invited
  • [Presentation] On spatial discretization of evolutionary differential equations on the periodic domain with a mixed derivative2017

    • Author(s)
      S. Sato and T. Matsuo
    • Organizer
      SciCADE2017
    • Related Report
      2017 Annual Research Report
  • [Presentation] Some structure-preserving discretizations of generalized Ostrovsky equation2017

    • Author(s)
      T. Matsuo
    • Organizer
      SciCADE2017
    • Related Report
      2017 Annual Research Report
    • Int'l Joint Research
  • [Presentation] 混合微分を含む発展方程式の空間離散化について2017

    • Author(s)
      佐藤峻, 松尾宇泰
    • Organizer
      日本応用数理学会2017年度年会
    • Related Report
      2017 Annual Research Report
  • [Presentation] On some finite-difference based structure-preserving methods for partial differential equations2017

    • Author(s)
      T. Matsuo
    • Organizer
      EASIAM 2017
    • Related Report
      2017 Annual Research Report
    • Int'l Joint Research / Invited
  • [Funded Workshop] 京都大学数理解析研究所 研究集会「諸科学分野を結ぶ基礎学問としての数値解析学」2019

    • Related Report
      2019 Annual Research Report

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Published: 2017-04-28   Modified: 2023-01-30  

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