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  1. NIIテクニカル・レポート

NII Technical Report (NII-2013-002E):Improvements to the Cluster Newton Method for Underdetermined Inverse Problems

https://doi.org/10.20736/0000001272
https://doi.org/10.20736/0000001272
366e794b-310c-4a58-8f6a-a8672bb979c6
名前 / ファイル ライセンス アクション
13-002E.pdf NII Technical Report (NII-2013-002E):Improvements to the Cluster Newton Method for Underdetermined Inverse Problems (1.0 MB)
Item type レポート / Report(1)
公開日 2019-03-13
タイトル
言語 en
タイトル NII Technical Report (NII-2013-002E):Improvements to the Cluster Newton Method for Underdetermined Inverse Problems
言語
言語 eng
キーワード
言語 ja
主題Scheme Other
主題 テクニカルレポート
キーワード
言語 en
主題Scheme Other
主題 Technical Report
資源タイプ
資源 http://purl.org/coar/resource_type/c_6501
タイプ departmental bulletin paper
ID登録
ID登録 10.20736/0000001272
ID登録タイプ JaLC
著者 Gaudreau, Philippe J.

× Gaudreau, Philippe J.

en Gaudreau, Philippe J.

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速水, 謙

× 速水, 謙

ja 速水, 謙

en Hayami, Ken

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青木, 康憲

× 青木, 康憲

ja 青木, 康憲

en Aoki, Yasunori

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Safouhi, Hassan

× Safouhi, Hassan

en Safouhi, Hassan

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小長谷, 明彦

× 小長谷, 明彦

ja 小長谷, 明彦

en Konagaya, Akihiko

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抄録
内容記述タイプ Abstract
内容記述 The Cluster Newton method (CN method) has proved to be very efficient at finding multiple solutions to underdetermined inverse problems. In the case of pharmacokinetics, underdetermined inverse problems are often given extra constraints to restrain the variety of solutions. In this paper, we propose an algorithm based on the two parameters of the Beta distribution to find families of solution near a solution of interest. This allows for a much greater control of the variety of solutions that can be obtained with the CN method. In addition, this algorithm facilitates the task of obtaining pharmacologically feasible parameters. Moreover, we also make some improvements to the original CN method including an adaptive margin of error for the perturbation of the target values and the use of an analytical Jacobian in the resolution of the forward problem.
言語 en
書誌情報 ja : NIIテクニカル・レポート
en : NII Technical Report

p. 1-27, 発行日 2013-11-13
出版者
言語 ja
出版者 国立情報学研究所
ISSN
収録物識別子タイプ ISSN
収録物識別子 1346-5597
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