期刊
APPLIED NUMERICAL MATHEMATICS
卷 169, 期 -, 页码 122-145出版社
ELSEVIER
DOI: 10.1016/j.apnum.2021.06.008
关键词
Iterative regularization method; Non-smooth nonlinear ill-posed problems; Homotopy perturbation; Sequential subspace optimization method
资金
- National Natural Science Foundation of China [11901373, 12071184, 11871180]
- Fundamental Research Funds for the Central Universities [GK202003007]
- Zhejiang Provincial Natural Science Foundation of China [LY19A010009]
- Major R & D Plan of Science and Technology of Zhejiang [2019C03099]
In this paper, a fast iterative algorithm based on the J-order homotopy perturbation method is proposed for solving the nonlinear ill-posed problem. The sequential subspace optimization technique is introduced to accelerate the convergence speed, and numerical experiments are conducted to demonstrate its effectiveness.
In this paper, a fast iterative algorithm based on J-order homotopy perturbation method is proposed for the nonlinear ill-posed problem whose forward operator is not Gateaux differentiable. The Bouligand subderivative of the forward operator is utilized to replace the Frechet derivative in iteration system. The sequential subspace optimization technique is introduced to accelerate the convergence speed, which regards the correction term of homotopy perturbation as multiple search directions to update the new iterate. To this end, the current iteration is sequentially projected to the stripes whose width is determined by search directions, the nonlinearity of the forward operator and noise level. We present the convergence analysis based on the asymptotic stability estimates and a generalized tangential cone condition. Numerical experiments are performed to illustrate the effectiveness of the proposed method. (C) 2021 IMACS. Published by Elsevier B.V. All rights reserved.
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