• Search Research Projects
  • Search Researchers
  • How to Use
  1. Back to previous page

Discreteness and Continuity in Infinite-dimensional Optimization

Research Project

Project/Area Number 24654030
Research Category

Grant-in-Aid for Challenging Exploratory Research

Allocation TypeMulti-year Fund
Research Field General mathematics (including Probability theory/Statistical mathematics)
Research InstitutionThe Institute of Statistical Mathematics

Principal Investigator

Ito Satoshi  統計数理研究所, 数理・推論研究系, 教授 (50232442)

Project Period (FY) 2012-04-01 – 2016-03-31
Project Status Completed (Fiscal Year 2015)
Budget Amount *help
¥3,900,000 (Direct Cost: ¥3,000,000、Indirect Cost: ¥900,000)
Fiscal Year 2014: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2013: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2012: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Keywords凸最適化 / 測度空間 / 確率測度 / 無限計画 / 半無限計画 / モーメント問題 / 通信路容量 / 相互情報量 / モーメント計画
Outline of Final Research Achievements

Most, if not all, optimization problems in infinite dimension can be regarded as those of some measure. A measure generally has an absolutely continuous component and a discrete component with respect to the Lebesgue measure. We often observe that many optimization problems in measure spaces have a discrete optimal solution. A question then arises: in what conditions does a solution to a given class of optimization problem become discrete or absolutely continuous? The purpose of this research is to give an answer to such a question.

Report

(5 results)
  • 2015 Annual Research Report   Final Research Report ( PDF )
  • 2014 Research-status Report
  • 2013 Research-status Report
  • 2012 Research-status Report
  • Research Products

    (8 results)

All 2014 2013 2012 Other

All Journal Article (3 results) (of which Peer Reviewed: 1 results) Presentation (5 results) (of which Invited: 3 results)

  • [Journal Article] 測度空間における凸最適化ー無限次元における離散と連続2013

    • Author(s)
      伊藤 聡
    • Journal Title

      統計数理

      Volume: 61 Pages: 111-122

    • NAID

      120006020796

    • Related Report
      2013 Research-status Report
    • Peer Reviewed
  • [Journal Article] 測度空間における凸最適化ー無限次元における離散と連続2013

    • Author(s)
      伊藤 聡
    • Journal Title

      最適化:モデリングとアルゴリズム(統計数理研究所共同研究レポート)

      Volume: 25 Pages: 105-114

    • NAID

      120006020796

    • Related Report
      2012 Research-status Report
  • [Journal Article] 測度空間における凸最適化ー無限次元における離散と連続2012

    • Author(s)
      伊藤 聡
    • Journal Title

      日本オペレーションズ・リサーチ学会 第24回RAMPシンポジウム論文集

      Volume: n/a Pages: 59-68

    • NAID

      120006020796

    • Related Report
      2012 Research-status Report
  • [Presentation] 測度空間における凸最適化ー無限次元における離散と連続2014

    • Author(s)
      伊藤 聡
    • Organizer
      統計多様体の諸分野への応用
    • Place of Presentation
      京都大学数理解析研究所
    • Year and Date
      2014-11-20
    • Related Report
      2014 Research-status Report
    • Invited
  • [Presentation] Convex optimization of probability measure with applications to information theory

    • Author(s)
      S. Ito
    • Organizer
      The 9th International Conference on Optimization: Techniques and Applications
    • Place of Presentation
      国立台湾科技大学
    • Related Report
      2013 Research-status Report
  • [Presentation] 測度空間における凸最適化ー無限次元における離散と連続

    • Author(s)
      伊藤 聡
    • Organizer
      日本オペレーションズ・リサーチ学会 第24回RAMPシンポジウム
    • Place of Presentation
      東北大学
    • Related Report
      2012 Research-status Report
    • Invited
  • [Presentation] Robust optimization

    • Author(s)
      Satoshi Ito
    • Organizer
      Mathematical Modeling for Issues on Ecosystem Services -Theory & Applications-
    • Place of Presentation
      The Institute of Statistical Mathematics
    • Related Report
      2012 Research-status Report
    • Invited
  • [Presentation] 測度空間における凸最適化-無限次元における離散と連続

    • Author(s)
      伊藤 聡
    • Organizer
      「確率測度の最適化と通信路容量」研究会
    • Place of Presentation
      統計数理研究所
    • Related Report
      2012 Research-status Report

URL: 

Published: 2013-05-31   Modified: 2019-07-29  

Information User Guide FAQ News Terms of Use Attribution of KAKENHI

Powered by NII kakenhi