Suchergebnisse - Gradient descent iterative algorithm

Approximate solutions of the 2D space-time fractional diffusion equation via a gradient-descent iterative algorithm with Grünwald-Letnikov approximation von Adisorn Kittisopaporn, Pattrawut Chansangiam

“… Then we linearize the discretized equations into a sparse linear system. To solve such linear system, we propose a gradient-descent iterative algorithm with a sequence of optimal convergence factor aiming to minimize the error occurring at each iteration …”
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Approximate solutions of the $ 2 $D space-time fractional diffusion equation via a gradient-descent iterative algorithm with Grünwald-Letnikov approximation von Kittisopaporn, Adisorn, Chansangiam, Pattrawut

“… Then we linearize the discretized equations into a sparse linear system. To solve such linear system, we propose a gradient-descent iterative algorithm with a sequence of optimal convergence factor aiming to minimize the error occurring at each iteration …”
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Approximated least-squares solutions of a generalized Sylvester-transpose matrix equation via gradient-descent iterative algorithm von Kittisopaporn, Adisorn, Chansangiam, Pattrawut

“… This paper proposes an effective gradient-descent iterative algorithm for solving a generalized Sylvester-transpose equation with rectangular matrix coefficients …”
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Gradient-descent iterative algorithm for solving exact and weighted least-squares solutions of rectangular linear systems von Tansri, Kanjanaporn, Chansangiam, Pattrawut

“… We propose an iterative algorithm for solving this linear system, based on gradient-descent optimization technique, aiming to produce a sequence of well-approximate least-squares solutions …”
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Gradient-descent iterative algorithm for solving a class of linear matrix equations with applications to heat and Poisson equations von Kittisopaporn, Adisorn, Chansangiam, Pattrawut

“… t = C which includes a class of linear matrix equations. The objective of the algorithm is to minimize an error at each iteration by the idea of gradient-descent …”
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Force/Position Hybrid Control for a Hexa Robot Using Gradient Descent Iterative Learning Control Algorithm von Huynh, Ba-Phuc, Wu, Cheng-Wei, Kuo, Yong-Lin

“… In addition, a gradient descent iterative learning control algorithm is used and modified to determine the optimal impedance parameters in unknown environments …”
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A generalized minimal residual based iterative back propagation algorithm for polynomial nonlinear models von Chen, Jing, Rong, Yingjiao, Zhu, Quanmin, Chandra, Budi, Zhong, Hongxiu

“… This algorithm, based on Arnoldi’s method, can be regarded as a modified gradient descent iterative algorithm, and provides several advantages over the traditional gradient descent iterative algorithm: (1 …”
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Analysis of gradient descent ontology iterative algorithm for geological setting von Wu, Hualong, Zhao, Bo, Gao, Wei

“… And the similarity between vertices is measured by the difference of their corresponding scores. We propose the gradient descent ontology algorithm for this setting …”
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Varying Infimum Gradient Descent Algorithm for Agent-Sever Systems Using Different Order Iterative Preconditioning Methods von Chen, Jing, Wang, Dongqing, Liu, Yanjun, Zhu, Quanmin

“… >. This article studies a varying infimum gradient descent algorithm, which can move down the infimum by using different order iterative preconditioning methods, as follows …”
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Iterative quantum algorithm for combinatorial optimization based on quantum gradient descent von Yi, Xin, Huo, Jia-Cheng, Gao, Yong-Pan, Fan, Ling, Zhang, Ru, Cao, Cong

“… Here, an iterative quantum algorithm based on quantum gradient descent to solve combinatorial optimization problems is introduced, where the initial state of a quantum register evolves over several …”
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A Hybrid Iterative Algorithm of Amplitude Weighting and Phase Gradient Descent for Generating Phase-Only Fourier Hologram von Fan, Min, Yang, Jin, Du, Chengtao, Fang, Jie, Wang, Haibo, Li, Chenlu

“… This paper proposes a hybrid iterative algorithm of Amplitude Weighting and Phase Gradient Descent (AW-PGD …”
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Accelerating iterative ptychography with an integrated neural network von McCray, Arthur R. C., Ribet, Stephanie M., Varnavides, Georgios, Ophus, Colin

“… In this work, we present a method for accelerating a gradient descent‐based iterative reconstruction algorithm by training a neural network (NN …”
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Phase-Only Pattern Synthesis of Domino Tiling Irregular Arrays Based on Deep Reinforcement Learning and Gradient-Descent Optimization von Ma, Yihan, Guo, Yibing, Luo, Qi, Zhou, Yonggang, Yang, Guangwei, Gao, Steven

“… In this article, a novel framework that incorporates a deep reinforcement learning (DRL) technique with a gradient-descent optimization method for phase-only pattern synthesis of domino-shaped irregular arrays is proposed …”
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A hybrid iterative Fourier ptychographic microscopy algorithm based on fusion of random phase perturbation and gradient descent strategy von Ren, Shuo, Cheng, Hong, Sun, Siwei, Li, Ju, Li, Wei, Cheng, Yifan

“… and the tendency to fall into local minima. To address the above problems, this paper proposes an iterative FPM algorithm that fuses phase perturbation factor and gradient descent in the spatial-frequency domain and embeds an aberration …”
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Off-Grid DOA Estimation With Mutual Coupling via Block Log-Sum Minimization and Iterative Gradient Descent von Tang, Wen-Gen, Jiang, Hong, Zhang, Qi

“… In this letter, we present an iterative block sparsity reconstruction algorithm for off-grid DOA estimation with MC …”
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The weighted iterative algorithms for state of health estimation using Volterra series model: least squares algorithm and gradient descent algorithm von Zhu, Yongqiang, Chen, Jing

“… The state of health (SOH) can usually be described by an exponential model. Traditional least squares and gradient descent algorithms are inefficient for such a special model …”
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Cyclic gradient descent optimisation for joint MAP estimation of channel and phase noise in orthogonal frequency division multiplexing von Shrivastav, Kamayani, Yadav, Rajendra Prasad, Jain, Kamal Chand

“… An iterative cyclic gradient descent optimisation algorithm is derived to minimise the cost function over the unknown CTF and PHN …”
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Computational and Statistical Guarantees for Tensor-on-Tensor Regression With Tensor Train Decomposition von Qin, Zhen, Zhu, Zhihui

“… Recently, a tensor-on-tensor (ToT) regression model has been proposed to generalize tensor recovery, encompassing scenarios like scalar-on-tensor regression …”
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Large Airborne Full Tensor Gradient Data Inversion Based on a Non-Monotone Gradient Method von Sun, Yong, Meng, Zhaohai, Li, Fengting

“… Many algorithms are available to accelerate the FTG data inversion, such as conjugate gradient method …”
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Quantized phase-only hologram generation based on an iterative algorithm with time-multiplexing von Zheng, Huadong, Zhang, Tengfei, Fang, Qiwei, Lin, Xingyu, Yu, Yingjie

“… This study proposes a quantized stochastic gradient descent iterative algorithm that enables direct-generation of 4-bit-depth phase-only holograms at 2K resolution …”
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