Results 21 to 30 of about 41,026 (224)
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
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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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Vietnam Journal of Mechanics, 2011 This study focuses on formulation of the Augmented Lagrangian and application of the Uzawa's algorithm to solve the homogenization problem of microscopic periodic media as in composites.
Ngoc-Trung Nguyen +2 more
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Journal of Telecommunications and Information Technology, 2012 A cross-layer network optimization problem is considered. It involves network and transport layers, treating both routing and flows as decision variables.
Andrzej Karbowski
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A Stochastic Composite Augmented Lagrangian Method for Reinforcement Learning
SIAM Journal on Optimization, 2023 29 pages, 6 ...
Yongfeng Li +3 more
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A fast constrained image segmentation algorithm
Results in Applied Mathematics, 2020 Normalized cut or Ncut has been one of the most widely used models for image processing. A constraint can also be included in the framework of Ncut to represent a priori information for an effective image segmentation.
Iván Ojeda-Ruiz, Young-Ju Lee
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Dual-Augmented Lagrangian Method for Efficient Sparse Reconstruction [PDF]
IEEE Signal Processing Letters, 2009 We propose an efficient algorithm for sparse signal reconstruction problems. The proposed algorithm is an augmented Lagrangian method based on the dual sparse reconstruction problem. It is efficient when the number of unknown variables is much larger than the number of observations because of the dual formulation.
Tomioka, R., Sugiyama, M.
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SDPNAL$+$: A Majorized Semismooth Newton-CG Augmented Lagrangian Method for Semidefinite Programming with Nonnegative Constraints [PDF]
, 2014 In this paper, we present a majorized semismooth Newton-CG augmented Lagrangian method, called SDPNAL$+$, for semidefinite programming (SDP) with partial or full nonnegative constraints on the matrix variable.
Sun, Defeng +2 more
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Augmented Lagrangian Method for Generalized TV-Stokes Model
Journal of Scientific Computing, 2011 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Tai, Xue Cheng +2 more
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