Results 31 to 40 of about 38,694 (221)
, 2018 In the article we present a general theory of augmented Lagrangian functions for cone constrained optimization problems that allows one to study almost all known augmented Lagrangians for cone constrained programs within a unified framework. We develop a
Dolgopolik, M. V.
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Weighted Low-Rank Tensor Representation for Multi-View Subspace Clustering
Frontiers in Physics, 2021 Multi-view clustering has been deeply explored since the compatible and complementary information among views can be well captured. Recently, the low-rank tensor representation-based methods have effectively improved the clustering performance by ...
Shuqin Wang +2 more
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Distributed Optimization of Multi-Beam Directional Communication Networks
, 2017 We formulate an optimization problem for maximizing the data rate of a common message transmitted from nodes within an airborne network broadcast to a central station receiver while maintaining a set of intra-network rate demands.
Tsiligkaridis, Theodoros
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Weak imposition of Signorini boundary conditions on the boundary element method [PDF]
, 2020 We derive and analyse a boundary element formulation for boundary conditions involving inequalities. In particular, we focus on Signorini contact conditions.
Burman, Erik +2 more
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Image Restoration by Variable Splitting based on Total Variant Regularizer [PDF]
Journal of Artificial Intelligence and Data Mining, 2018 The aim of image restoration is to obtain a higher quality desired image from a degraded image. In this strategy, an image inpainting method fills the degraded or lost area of the image by appropriate information.
E. Sahragard, H. Farsi, S. Mohammadzadeh
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IEEE Access, 2019 In this paper, we propose a new high-order total variation regularized model with box constraint for image compressive sensing reconstruction. Because of the separable structure of this model, we can easily decompose into three subproblems by splitting ...
Binbin Hao, Jichao Wang, Jianguang Zhu
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Combining Deep Image Prior and Second-Order Generalized Total Variance for Image Inpainting
Mathematics, 2023 Image inpainting is a crucial task in computer vision that aims to restore missing and occluded parts of damaged images. Deep-learning-based image inpainting methods have gained popularity in recent research.
Shaopei You +4 more
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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
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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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Challenges and enablers in fluidization technology
AIChE Journal, EarlyView.Abstract Gas–solid fluidized beds provide excellent heat and mass transfer for high‐throughput operations from coating to catalytic conversion and underpin emerging low‐carbon technologies. Yet industrial reliability, scale‐up, and control lag scientific understanding, particularly as finer, stickier, and more variable feedstocks increasingly challenge
J. Ruud van Ommen, Jia Wei Chew
wiley +1 more source