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Published in 2020 at "Computational Optimization and Applications"
DOI: 10.1007/s10589-020-00191-1
Abstract: This paper proposes and analyzes an inexact variant of the proximal generalized alternating direction method of multipliers (ADMM) for solving separable linearly constrained convex optimization problems. In this variant, the first subproblem is approximately solved…
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Keywords:
alternating direction;
proximal generalized;
direction method;
generalized alternating ... See more keywords
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Published in 2019 at "Journal of Global Optimization"
DOI: 10.1007/s10898-018-0697-z
Abstract: This paper analyzes the iteration-complexity of a generalized alternating direction method of multipliers (G-ADMM) for solving separable linearly constrained convex optimization problems. This ADMM variant, first proposed by Bertsekas and Eckstein, introduces a relaxation parameter…
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Keywords:
alternating direction;
direction method;
generalized alternating;
iteration complexity ... See more keywords
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Published in 2019 at "Journal of Optimization Theory and Applications"
DOI: 10.1007/s10957-019-01525-8
Abstract: This paper proposes a partially inexact proximal alternating direction method of multipliers for computing approximate solutions of a linearly constrained convex optimization problem. This method allows its first subproblem to be solved inexactly using a…
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Keywords:
complexity;
alternating direction;
direction method;
method ... See more keywords
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Published in 2021 at "Journal of Optimization Theory and Applications"
DOI: 10.1007/s10957-020-01782-y
Abstract: In this paper, we consider the convergence rate of the alternating direction method of multipliers for solving the nonconvex separable optimization problems. Based on the error bound condition, we prove that the sequence generated by…
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Keywords:
alternating direction;
direction method;
convergence;
method multipliers ... See more keywords
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Published in 2020 at "Numerical Algorithms"
DOI: 10.1007/s11075-020-00985-8
Abstract: Since sparse unmixing has emerged as a promising approach to hyperspectral unmixing, some spatial-contextual information in the hyperspectral images has been exploited to improve the performance of the unmixing recently. The total variation (TV) has…
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Keywords:
alternating direction;
direction method;
hyperspectral sparse;
sparse unmixing ... See more keywords
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Published in 2017 at "Optimization Letters"
DOI: 10.1007/s11590-016-1021-9
Abstract: In this paper, we study an inexact version of the alternating direction method of multipliers (ADMM) for solving two-block separable linearly constrained convex optimization problems. Specifically, the two subproblems in the classic ADMM are allowed…
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Keywords:
relative error;
alternating direction;
direction method;
error criteria ... See more keywords
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Published in 2017 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2017.08.1571
Abstract: Abstract In large-scale control optimization problems, a decentralized control structure can offer great scalability and rapidity advantages over a centralized implantation. Alternating Direction Method of Multipliers (ADMM) is a decentralized optimization algorithm which has the…
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Keywords:
algorithm;
alternating direction;
hybrid systems;
direction method ... See more keywords
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Published in 2021 at "Optimization Methods and Software"
DOI: 10.1080/10556788.2020.1734804
Abstract: ABSTRACT We introduce an Alternating Direction Method of Multipliers (ADMM) for finding a solution of the nonsymmetric Eigenvalue Complementarity Problem (EiCP). A simpler version of this method is proposed for the symmetric EiCP, that is,…
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Keywords:
alternating direction;
direction method;
method;
solution ... See more keywords
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Published in 2020 at "Optimization Methods and Software"
DOI: 10.1080/10556788.2020.1738435
Abstract: We analyze the rate of convergence of the proximal method of multipliers for non-convex nonlinear programming problems. First, we prove, under the strict complementarity condition, that the rate of convergence of the proximal method of…
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Keywords:
rate convergence;
method multipliers;
proximal method;
convergence proximal ... See more keywords
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Published in 2021 at "IEEE/CAA Journal of Automatica Sinica"
DOI: 10.1109/jas.2020.1003195
Abstract: This paper investigates the distributed model predictive control (MPC) problem of linear systems where the network topology is changeable by the way of inserting new subsystems, disconnecting existing subsystems, or merely modifying the couplings between…
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Keywords:
control;
method multipliers;
topology;
alternating direction ... See more keywords
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Published in 2022 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2022.3167915
Abstract: Inverse imaging covers a wide range of imaging applications, including super-resolution, deblurring, and compressive sensing. We propose a novel scheme to solve such problems by combining duality and the alternating direction method of multipliers (ADMM).…
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Keywords:
method multipliers;
method;
inverse imaging;
alternating direction ... See more keywords