An inverse problem of dcis model based on nonlocal and terminal data

Authors

  • Meibao Ge 1School of Mathematics, Shanghai University of Finance and Economics, Shanghai, P.R.China; 2 Department of Medical Imaging, Hangzhou Medical College, Zhejiang, P. R.China.
  • Keji Liu 1School of Mathematics, Shanghai University of Finance and Economics, Shanghai, P.R.China; 3Shanghai Key Laboratory of Financial Information Technology, Institute of Scientific Computation and Financial Data Analysis, Shanghai University of Finance and Economics, Shanghai, P.R.China.)
  • Dinghua Xu School of Mathematics, Shanghai University of Finance and Economics, Shanghai 200433, P.R.China

DOI:

https://doi.org/10.26577/ijmph-2019-i2-4
        48 55

Abstract

As the earliest period of breast cancer, the ductal carcinoma in situ (DCIS) model has wide applications in the diagnosis of breast cancer and has been attracted much attention in recent years. In this paper, a novel PSO method is developed for solving an inverse problem of the DCIS model from nonlocal and terminal data. The numerical simulations show that the proposed method is efficient, accurate, robust against noise and fast. Moreover, it is better than the optimization method in the literature [8].

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How to Cite

Ge, M., Liu, K., & Xu, D. (2019). An inverse problem of dcis model based on nonlocal and terminal data. International Journal of Mathematics and Physics, 10(2), 21–27. https://doi.org/10.26577/ijmph-2019-i2-4

Issue

Vol. 10 No. 2 (2019): International Journal of Mathematics and Physics

Section

MATHEMATICS

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