Results 31 to 40 of about 245,277 (249)
Combining Deep Image Prior and Second-Order Generalized Total Variance for Image Denoising
IEEE Access, 2023 Deep image prior is a classical unsupervised deep learning method that does not require plenty of training samples, because in some practical applications, like medical imaging, collecting tons of training samples is not always viable.
Jianlou Xu +3 more
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An Augmented Lagrangian Method for Cardinality-Constrained Optimization Problems
Journal of Optimization Theory and Applications, 2021 A reformulation of cardinality-constrained optimization problems into continuous nonlinear optimization problems with an orthogonality-type constraint has gained some popularity during the last few years.
C. Kanzow +2 more
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An Inexact Augmented Lagrangian Method for Second-Order Cone Programming with Applications [PDF]
SIAM Journal on Optimization, 2020 In this paper, we adopt the augmented Lagrangian method (ALM) to solve convex quadratic second-order cone programming problems (SOCPs). Fruitful results on the efficiency of the ALM have been established in the literature.
Ling Liang, Defeng Sun, K. Toh
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Boundary augmented Lagrangian method for the Signorini problem [PDF]
Applications of Mathematics, 2016 In this article, the authors consider an augmented Lagrangian method that is based on (i) a boundary variational formulation and (ii) a fixed point method. This boundary augmented Lagrangian method is specifically designed and analyzed for the Signorini problem of the Laplacian.
Zhang, Shougui, Li, Xiaolin
openaire +1 more source
Journal of Applied Mathematics, 2013 The augmented Lagrangian method can be used for solving recourse problems and obtaining their normal solution in solving two-stage stochastic linear programming problems.
Saeed Ketabchi, Malihe Behboodi-Kahoo
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Edge detection based on augmented lagrangian method for lowquality medical images
Ho Chi Minh City Open University Journal of Science - Engineering and Technology, 2018 Medical images are useful for the treatment process. They contain a lot of information on displaying abnormalities in your body. The contour of medical images is a matter of interest.
Vo Thi Hong Tuyet
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Solving the TSP by the AALHNN algorithm
Mathematical Biosciences and Engineering, 2022 It is prone to get stuck in a local minimum when solving the Traveling Salesman Problem (TSP) by the traditional Hopfield neural network (HNN) and hard to converge to an efficient solution, resulting from the defect of the penalty method used by the HNN.
Yun Hu, Qianqian Duan
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Iteration Complexity of a Proximal Augmented Lagrangian Method for Solving Nonconvex Composite Optimization Problems with Nonlinear Convex Constraints [PDF]
Mathematics of Operations Research, 2020 This paper proposes and analyzes a proximal augmented Lagrangian (NL-IAPIAL) method for solving constrained nonconvex composite optimization problems, where the constraints are smooth and convex with respect to the order given by a closed convex cone ...
W. Kong, J. Melo, R. Monteiro
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New Convergence Properties of the Primal Augmented Lagrangian Method
Abstract and Applied Analysis, 2011 New convergence properties of the proximal augmented Lagrangian method is established for continuous nonconvex optimization problem with both equality and inequality constrains.
Jinchuan Zhou +3 more
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Augmented Lagrangian Algorithm for Hydrothermal Scheduling
EAI Endorsed Transactions on Energy Web, 2018 This paper mainly deals with a new algorithm for solving hydrothermal scheduling problem with transmission and environmental constraints using Augmented Lagrangian(AL) method.
R. Subramani, C. Vijayalakshmi
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