劣決定逆問題に対するCluster Newton法とその薬物動態モデルへの応用 Cluster Newton Method for Underdetermined Inverse Problems and its Application to Pharmacokinetics Model

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抄録

As the observations we can make from patients are limited compared to the complexity of the physiology, underdetermined inverse problems appear often in the parameter estimation problems of physiologically based pharmacokinetics (PBPK) models. We address this issues of not being able to identify the model parameter set uniquely by finding multiple sets of possible parameter sets that are consistent with the observations. As this approach requires multiple parameter estimations of a complex model, the computational cost can be a bottle neck. In this paper, we introduce a new computationally efficient algorithm called the Cluster Newton method to find multiple solutions of an underdetermined inverse problem.

収録刊行物

  • 応用数理

    応用数理 24(4), 151-159, 2014

    一般社団法人 日本応用数理学会

各種コード

  • NII論文ID(NAID)
    110009900558
  • NII書誌ID(NCID)
    AN10288886
  • 本文言語コード
    JPN
  • ISSN
    0917-2270
  • NDL 記事登録ID
    026010808
  • NDL 請求記号
    Z15-726
  • データ提供元
    NDL  NII-ELS  J-STAGE 
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