Results 11 to 20 of about 2,487 (204)
Incremental Reduced Lagrangian Asymmetric ν-Twin Support Vector Regression [PDF]
Jisuanji kexue yu tansuo, 2023 Lagrangian asymmetric ν-twin support vector regression is a prediction algorithm with good generalization performance. However, it is unsuitable for the scenarios where the samples are provided incrementally.
ZHANG Shuaixin, GU Binjie, PAN Feng
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Augmented Lagrangian Methods as Layered Control Architectures
CoRR, 2023 For optimal control problems that involve planning and following a trajectory, two degree of freedom (2DOF) controllers are a ubiquitously used control architecture that decomposes the problem into a trajectory generation layer and a feedback control layer.
Anusha Srikanthan +2 more
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Constrained composite optimization and augmented Lagrangian methods
Mathematical Programming, 2023 AbstractWe investigate finite-dimensional constrained structured optimization problems, featuring composite objective functions and set-membership constraints. Offering an expressive yet simple language, this problem class provides a modeling framework for a variety of applications.
Alberto De Marchi +3 more
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On the complexity of an augmented Lagrangian method for nonconvex optimization [PDF]
IMA Journal of Numerical Analysis, 2020 Abstract In this paper we study the worst-case complexity of an inexact augmented Lagrangian method for nonconvex constrained problems. Assuming that the penalty parameters are bounded we prove a complexity bound of $\mathcal{O}(|\log (\epsilon )|)$ outer iterations for the referred algorithm to generate an $\epsilon$-approximate KKT ...
Grapiglia, Geovani N., Yuan, Ya-xiang
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Discrete Dynamics in Nature and Society, 2017 We propose a new method for equality constrained optimization based on augmented Lagrangian method. We construct an unconstrained subproblem by adding an adaptive quadratic term to the quadratic model of augmented Lagrangian function.
Hao Zhang, Qin Ni
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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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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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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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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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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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