Suchergebnisse - "primal-dual hybrid gradient algorithm"

A nonlocal dispersive optimal transport: Formulation and algorithm von Bai, Songhai, Guo, Xu, Li, Yiqun, Zheng, Xiangcheng, Zhu, Yan

“… We propose a unified framework that effectively characterizes challenging phenomena such as anomalous transport in heterogeneous media and long-range memory …”
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A fast generalized prediction–correction dual–primal hybrid gradient algorithm for bilinear saddle point problems with applications to total variation image processing von Li, Si, Xue, Shibei, Zhou, Lihan, Ma, Shan

“… The primal–dual hybrid gradient (PDHG) algorithm has been extensively studied and utilized for solving bilinear saddle point problems due to its inexpensive …”
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A time-fractional optimal transport: Formulation and algorithm von Li, Yiqun, Wang, Hong, Li, Wuchen

“… The time-fractional optimal transport (OT) models are developed to describe the anomalous transport of the agents such that their densities are transported …”
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A first-order computational algorithm for reaction-diffusion type equations via primal-dual hybrid gradient method von Liu, Shu, Liu, Siting, Osher, Stanley, Li, Wuchen

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Primal-dual hybrid gradient image denoising algorithm based on overlapping group sparsity and fractional-order total variation von Bi, Shaojiu, Li, Minmin, Cai, Guangcheng

“… This study introduces a non-convex fractional-order hyper-Laplacian variational model for Gaussian noise removal. It employs first the primal-dual hybrid …”
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A partially inexact generalized primal-dual hybrid gradient method for saddle point problems with bilinear couplings von Wang, Kai, Yu, Jintao, He, Hongjin

“… One of the most popular algorithms for saddle point problems is the so-named primal-dual hybrid gradient method, which have been received much considerable …”
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On the Convergence of Primal-Dual Hybrid Gradient Algorithm von He, Bingsheng, You, Yanfei, Yuan, Xiaoming

“… The primal-dual hybrid gradient algorithm (PDHG) has been widely used, especially for some basic image processing models. In the literature, PDHG's convergence …”
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An adaptive model combining a total variation filter and a fractional-order filter for image restoration von Yang, Yafeng, Zhao, Donghong

“… In this paper, we propose a model that combines a total variation filter with a fractional-order filter, which can unite the advantages of the two filters, and …”
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Supervised and transductive multi-class segmentation using p-Laplacians and RKHS methods von Kang, Sung Ha, Shafei, Behrang, Steidl, Gabriele

“… •We explore the difference between p-Laplacian and RKHS approach.•We prove a probability simplex constraint is automatically fulfilled when p=2.•Different …”
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A variational formulation for physical noised image segmentation von Lou, Qiong, Peng, Jia-lin, Kong, De-xing

“… Image segmentation is a hot topic in image science. In this paper we present a new variational segmentation model based on the theory of Mumford-Shah model …”
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Computational mean-field information dynamics associated with reaction-diffusion equations von Li, Wuchen, Lee, Wonjun, Osher, Stanley

“… We formulate and compute a class of mean-field information dynamics for reaction-diffusion equations. Given a class of nonlinear reaction-diffusion equations …”
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Primal–dual hybrid gradient algorithms for computing time-implicit Hamilton–Jacobi equations von Meng, Tingwei, Hao, Wenbo, Liu, Siting, Osher, Stanley J., Li, Wuchen

“… Hamilton–Jacobi (HJ) partial differential equations (PDEs) have diverse applications spanning physics, optimal control, game theory, and imaging sciences. This …”
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