Convergence of Linear Bregman ADMM for Nonconvex and Nonsmooth Problems with Nonseparable Structure Article Swipe

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Miantao Chao , Zhao Deng , Jinbao Jian ·

YOU? · · 2020 · Open Access · · DOI: https://doi.org/10.1155/2020/6237942

The alternating direction method of multipliers (ADMM) is an effective method for solving two-block separable convex problems and its convergence is well understood. When either the involved number of blocks is more than two, or there is a nonconvex function, or there is a nonseparable structure, ADMM or its directly extend version may not converge. In this paper, we proposed an ADMM-based algorithm for nonconvex multiblock optimization problems with a nonseparable structure. We show that any cluster point of the iterative sequence generated by the proposed algorithm is a critical point, under mild condition. Furthermore, we establish the strong convergence of the whole sequence, under the condition that the potential function satisfies the Kurdyka–Łojasiewicz property. This provides the theoretical basis for the application of the proposed ADMM in the practice. Finally, we give some preliminary numerical results to show the effectiveness of the proposed algorithm.

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Separable space Convergence (economics) Sequence (biology) Mathematical optimization Mathematics Function (biology) Regular polygon Convex function Optimization problem Computer science Applied mathematics Algorithm Evolutionary biology Genetics Economics Economic growth Mathematical analysis Biology Geometry

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Landing Page: https://doi.org/10.1155/2020/6237942
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Title: Convergence of Linear Bregman ADMM for Nonconvex and Nonsmooth Problems with Nonseparable Structure

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Publication year: 2020

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Authors: Miantao Chao, Zhao Deng, Jinbao Jian

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Concepts: Separable space, Convergence (economics), Sequence (biology), Mathematical optimization, Mathematics, Function (biology), Regular polygon, Convex function, Optimization problem, Computer science, Applied mathematics, Algorithm, Evolutionary biology, Genetics, Economics, Economic growth, Mathematical analysis, Biology, Geometry

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