Results 61 to 70 of about 167,968,449 (203)
Linearized ADMM for Nonconvex Nonsmooth Optimization With Convergence Analysis
IEEE Access, 2019 Linearized alternating direction method of multipliers (ADMM) as an extension of ADMM has been widely used to solve linearly constrained problems in signal processing, machine learning, communications, and many other fields.
Qinghua Liu, Xinyue Shen, Yuantao Gu
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An alternating direction method of multipliers for inverse lithography problem [PDF]
, 2023 We propose an alternating direction method of multipliers (ADMM) to solve an optimization problem stemming from inverse lithography. The objective functional of the optimization problem includes three terms: the misfit between the imaging on wafer and ...
Liu, Haibo, Chen, Junqing
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Computing Skinning Weights via Convex Duality
Computer Graphics Forum, EarlyView.We present an alternate optimization method to compute bounded biharmonic skinning weights. Our method relies on a dual formulation, which can be optimized with a nonnegative linear least squares setup. Abstract We study the problem of optimising for skinning weights through the lens of convex duality.
J. Solomon, O. Stein
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Hierarchical Optimization of the As‐Rigid‐As‐Possible Energy
Computer Graphics Forum, EarlyView.Abstract The As‐Rigid‐As‐Possible (ARAP) energy [SA07] has become a versatile ingredient in various geometry processing and machine learning methods. The classic method for its minimization is a block coordinate descent, alternating between local rotation estimation and a global linear solve, which converges slowly for large problem instances.
Hendrik Meyer, Bernd Bickel, Marc Alexa
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Image Restoration Based on the Hybrid Total-Variation-Type Model
Abstract and Applied Analysis, 2012 We propose a hybrid total-variation-type model for the image restoration problem based on combining advantages of the ROF model with the LLT model.
Baoli Shi, Zhi-Feng Pang, Yu-Fei Yang
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Joint ptycho-tomography reconstruction through alternating direction method of multipliers
, 2019 We present the extension of ptychography for three-dimensional object reconstruction in a tomography setting. We describe the alternating direction method of multipliers (ADMM) as a generic reconstruction framework to efficiently solve the nonlinear ...
Bicer, Tekin +5 more
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Fast Stochastic Alternating Direction Method of Multipliers
, 2014 We propose a new stochastic alternating direction method of multipliers (ADMM) algorithm, which incrementally approximates the full gradient in the linearized ADMM formulation.
Zhong, Leon Wenliang, Kwok, Tin Yau
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, 2023 Among the clustering methods, K-Means and variants are very popular. Thesemethods solve at each iteration the first order optimality conditions. However, in somecases, the function to be minimized is not convex, as for the Fuzzy C-Means version withMahalanobis distance (FCM-GK).
Albert, Benoit +2 more
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NMR in Biomedicine, Volume 39, Issue 11, November 2026.In two session per volunteer–fasting control and meal activation–, the volunteers underwent repeated multi‐echo gradient echo acquisitions, which were subsequently processed offline with reconstruction of the source images, water‐fat separation with T2*$$ {{\mathrm{T}}_2}^{\ast } $$ mapping, affine registration, and automated segmentation of three ...
Johannes Raspe +7 more
wiley +1 more source
Distributed power supply restoration method for distribution network based on improved ADMM
Diance yu yibiaoIn order to speed up the solving efficiency of the power supply restoration method of distribution network after failure, this paper presents a multi-period distributed power supply restoration method for distribution network based on improved ...
HAI Di +5 more
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