[Updated on Apr. 18] Integration of CiNii Articles into CiNii Research

Cluster Newton Method for Underdetermined Inverse Problems and its Application to Pharmacokinetics Model

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Other Title
  • 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
  • レツケッテイ ギャクモンダイ ニ タイスル Cluster Newtonホウ ト ソノ ヤクブツ ドウタイ モデル エ ノ オウヨウ

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Abstract

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.

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