Numerical Inversion of Diffusion Coefficient by Optimal Perturbation Regularization Algorithm
This paper deals with numerical inversions for a diffusion coefficient in 1-D transport model by an optimal perturbation regularization algorithm. Several factors affecting the algorithm realization are discussed which are basis functions, numerical differential steps, initial iterations, and data noises. The numerical inversion results show that the optimal perturbation algorithm is of numerical stability, and it is an efficient method to the inverse problems of parameter identification.
inverse problem of diffusion coefficient optimal perturbation regularization algorithm numerical inversion
Gongsheng Li Wenjun Gao
Institute of Applied Mathematics Shandong University of Technology Zibo, Shandong Province, 255049, Department of Basic Courses Henan Quality Polytechnic Pingdingshan, Henan Province, 467000, China
国际会议
太原
英文
244-248
2010-10-22(万方平台首次上网日期,不代表论文的发表时间)