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Inverse Problem of a Tumor Model

Inverse Problem of a Tumor Model
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摘要 This paper considers a model for the growth of a solid tumor with a single anticancer agent application.The model is a free boundary problem of a nonlinear reaction-diffusion-advection equation,where the free boundary is the surface of the tumor.Since multicellular spheroids are routinely used as in vitro(i.e.,outside live organisms)models of cancer growth and they can be observed and controlled in the laboratory,the following inverse problem is studied:given observed dynamics of tumor growth,a certain parameter is determined.The Lipschitz stability of solutions to the above-mentioned inverse problem is established,and this inverse problem is solved by control theory.Numerical methods for solving the inverse problem are also given. This paper considers a model for the growth of a solid tumor with a single anticancer agent application.The model is a free boundary problem of a nonlinear reaction-diffusion-advection equation,where the free boundary is the surface of the tumor.Since multicellular spheroids are routinely used as in vitro(i.e.,outside live organisms)models of cancer growth and they can be observed and controlled in the laboratory,the following inverse problem is studied:given observed dynamics of tumor growth,a certain parameter is determined.The Lipschitz stability of solutions to the above-mentioned inverse problem is established,and this inverse problem is solved by control theory.Numerical methods for solving the inverse problem are also given.
出处 《Journal of Donghua University(English Edition)》 EI CAS 2010年第5期649-655,共7页 东华大学学报(英文版)
基金 Natural Science Foundation of Shanghai,China(No.09ZR1401200)
关键词 肿瘤 免费边界问题 反的问题 稳定性 控制理论 tumors free boundary problem inverse problem stability control theory
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参考文献2

  • 1Avner Friedman,Youshan Tao. Analysis of a model of a virus that replicates selectively in tumor cells[J] 2003,Journal of Mathematical Biology(5):391~423
  • 2Avner Friedman,Fernando Reitich. Analysis of a mathematical model for the growth of tumors[J] 1999,Journal of Mathematical Biology(3):262~284

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