A General Non-Lipschitz Infimal Convolution Regularized Model: Lower Bound Theory and Algorithm-Reference-Cited by-同舟云学术

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A General Non-Lipschitz Infimal Convolution Regularized Model: Lower Bound Theory and Algorithm

Published:2022-08-31 Issue:3 Volume:15 Page:1499-1538
ISSN:1936-4954
Container-title:SIAM Journal on Imaging Sciences
language:en
Short-container-title:SIAM J. Imaging Sci.

Author:

Wu Chunlin^ORCID,Guo Xueyan,Gao Yiming,Xue Yunhua

Funder

Key Laboratory for Medical Data Analysis and Statistical Research

National Natural Science Foundation of China

Key Programme

Publisher

Society for Industrial & Applied Mathematics (SIAM)

Subject

Applied Mathematics,General Mathematics

Reference74 articles.

1. Proximal Alternating Minimization and Projection Methods for Nonconvex Problems: An Approach Based on the Kurdyka-Łojasiewicz Inequality

2. Convergence of descent methods for semi-algebraic and tame problems: proximal algorithms, forward–backward splitting, and regularized Gauss–Seidel methods

3. Image Decomposition into a Bounded Variation Component and an Oscillating Component

4. Structure-Texture Image Decomposition—Modeling, Algorithms, and Parameter Selection

5. Worst-Case Complexity of Smoothing Quadratic Regularization Methods for Non-Lipschitzian Optimization

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