Search Results - gradient based minimization algorithm

A gradient descent based algorithm for ℓ minimization by Jiang, Shan, Fang, Shu-Cherng, Nie, Tiantian, Xing, Wenxun

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Multimodality medical image fusion algorithm based on gradient minimization smoothing filter and pulse coupled neural network by Liu, Xingbin, Mei, Wenbo, Du, Huiqian

“…•The proposed scheme outperforms classical and state-of-the-art methods. We propose a novel multimodality medical image fusion algorithm which involves L0 gradient minimization smoothing filter (GMSF…”
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Gradient Projection-Based Alternating Minimization Algorithm for Designing Hybrid Beamforming in Millimeter-Wave MIMO Systems by Chen, Jung-Chieh

“… We address this issue by proposing a simple yet efficient gradient projection (GP)-based AltMin (GP-AltMin) algorithm for hybrid beamforming design problems…”
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A gradient descent based algorithm for ℓp minimization by Jiang, Shan, Fang, Shu-Cherng, Nie, Tiantian, Xing, Wenxun

“…•Design a gradient-descent-based algorithm on positive entities to avoid smoothing.•Provide a convergence proof with worst-case iteration complexity analysis…”
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Barzilai-Borwein Gradient Algorithm Based Alternating Minimization for Single User Millimeter Wave Systems by Mulla, Mustafa, Ulusoy, Ali Hakan, Rizaner, Ahmet, Amca, Hasan

“… We then proposed a new low-complexity alternating minimization algorithm based on the Barzilai-Borwein gradient algorithm to maximize the spectral efficiency…”
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Medical image fusion algorithm based on L0 gradient minimization for CT and MRI by Zhang, Siqi, Li, Xiongfei, Zhu, Rui, Zhang, Xiaoli, Wang, Zeyu, Zhang, Shuhan

“…In this paper, a novel medical image fusion method based on L 0 Gradient Minimization for CT and MRI is proposed…”
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Multi-constraint graph partitioning problems via recursive bipartition algorithm based on subspace minimization conjugate gradient method by Sun, Wumei, Liu, Hongwei, Wang, Xiaoyu

“… bipartition algorithm based on the subspace minimization conjugate gradient method. To alleviate the difficulty of solving the model, the constrained problem…”
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A proportional fair scheduling strategy using multiobjective gradient‐based African buffalo optimization algorithm for effective resource allocation and interference minimization by Kesavan, Dhivya, Periyathambi, Ezhumalai, Chokkalingam, Arun

“… In this paper, a novel Multi‐Objective Gradient‐based African Buffalo Optimization (MOGABO) algorithm is developed to handle proportional fairness scheduling, improve…”
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Gradient-Based Algorithms With Intermediate Observations in Static and Differential Games by Hossain, Mohammad Safayet, Simaan, Marwan A., Qu, Zhihua

“… In this paper, we propose an approach in which each player implements an iterative discrete-time gradient-based algorithm that relies only on intermediate either current or prior observations…”
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Detection of Simulated Brain Strokes Using Microwave Tomography by Coli, Vanna Lisa, Tournier, Pierre-Henri, Dolean, Victorita, Kanfoud, Ibtissam El, Pichot, Christian, Migliaccio, Claire, Blanc-Feraud, Laure

“… Here, we present some synthetic results obtained with an experimental microwave tomography-based portable system for the early detection and monitoring of brain strokes…”
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Power Loss Minimization of Parallel-Connected Distributed Energy Resources in DC Microgrids Using a Distributed Gradient Algorithm-Based Hierarchical Control by Jiang, Yajie, Yang, Yun, Tan, Siew-Chong, Hui, Shu Yuen Ron

“… The proposed control comprises a distributed gradient algorithm (DGA) at the top layer, a consensus control at the secondary layer, and a local droop and dual-loop control at the bottom layer…”
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Gradient Descent Algorithm based on Extended State Observer for Loss Minimization of Ultralocal Model Predictive Controlled PMSM Drives by Mousavi, Mahdi S., Alireza Davari, S. Alireza, Zolfagharian, Reza, Garcia, Cristian, Flores-Bahamonde, Freddy, Wang, Fengxiang, Aly, Mokhtar, Rodriguez, Jose

“…Hybrid loss minimization algorithms in electrical drives combine the benefits of search-based and model-based approaches to deliver fast and robust dynamic responses…”
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Roof Plane Segmentation From LiDAR Point Cloud Data Using Region Expansion Based L0 Gradient Minimization and Graph Cut by Wang, Xuan, Ji, Shunping

“… In this article, we develop a novel region expansion based L 0 gradient minimization algorithm for processing unordered point cloud data, and a two-stage global optimization method consisting…”
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New subspace minimization conjugate gradient methods based on regularization model for unconstrained optimization by Zhao, Ting, Liu, Hongwei, Liu, Zexian

“…In this paper, two new subspace minimization conjugate gradient methods based on p -regularization models are proposed, where a special scaled norm in p -regularization model is analyzed…”
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The Maximum Likelihood Ensemble Filter as a non‐differentiable minimization algorithm by Zupanski, Milija, Navon, I. Michael, Zupanski, Dusanka

“…‐based unconstrained methods, such as the preconditioned conjugate‐gradient and quasi‐Newton methods. In the new minimization algorithm the vector of first…”
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Fast algorithms for sparse frequency waveform design with sidelobe constraint by Tang, Liang, Zhu, Yongfeng, Wu, Hao, Fu, Qiang

“…–minimization method and a gradient-based algorithm are derived to deal with this problem. The proposed algorithms can be easily implemented by the fast Fourier transform (FFT…”
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Gradient gravitational search: An efficient metaheuristic algorithm for global optimization by Dash, Tirtharaj, Sahu, Prabhat K.

“… to efficient algorithm, computational cost and accuracy. In this article, the gradient‐based gravitational search (GGS…”
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A Linearly Convergent Dual-Based Gradient Projection Algorithm for Quadratically Constrained Convex Minimization by Beck, Amir, Teboulle, Marc

“… The special structure of the derived dual problem allows us to apply the gradient projection algorithm to produce a simple explicit method involving only elementary vector-matrix operations, proven…”
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A prediction–correction-based primal–dual hybrid gradient method for linearly constrained convex minimization by Ma, Feng, Bi, Yiming, Gao, Bin

“…The primal–dual hybrid gradient (PDHG) method has been widely used for solving saddle point problems emerged in imaging processing…”
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Several accelerated subspace minimization conjugate gradient methods based on regularization model and convergence rate analysis for nonconvex problems by Sun, Wumei, Liu, Hongwei, Liu, Zexian

“…In this paper, four accelerated subspace minimization conjugate gradient methods based on 2-regularization or 3-regularization models with different matrices are proposed…”
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