Výsledky vyhledávání - "Gradient algorithm"

Stochastic Primal–Dual Hybrid Gradient Algorithm with Adaptive Step Sizes Autor Chambolle, Antonin, Delplancke, Claire, Ehrhardt, Matthias J., Schönlieb, Carola-Bibiane, Tang, Junqi

“… While the product of the primal and dual step sizes is subject to an upper-bound in order to ensure convergence, the selection of the ratio of the step sizes is critical in applications…”
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A stochastic gradient algorithm with momentum terms for optimal control problems governed by a convection–diffusion equation with random diffusivity Autor Toraman, Sıtkı Can, Yücel, Hamdullah

“…In this paper, we focus on a numerical investigation of a strongly convex and smooth optimization problem subject to a convection…”
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An optimal choice Dai-Liao conjugate gradient algorithm for unconstrained optimization and portfolio selection Autor Sabi'u, Jamilu, Sulaiman, Ibrahim Mohammed, Kaelo, P., Malik, Maulana, Kamaruddin, Saadi Ahmad

“…In this research, we propose an optimal choice for the non-negative constant in the Dai-Liao conjugate gradient formula based on the prominent Barzilai-Borwein…”
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Motion planning for 7-degree-of-freedom bionic arm: Deep deterministic policy gradient algorithm based on imitation of human action Autor Li, Baojiang, Qiu, Shengjie, Ye, Haiyan, Guo, Yuting, Wang, Haiyan, Bai, Jibo

“… Meanwhile, bionic arms often require specific programming to be implemented for the subject to initially meet the control requirements, which makes it difficult to match the motion of the bionic arm…”
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Deep Ensemble Reinforcement Learning with Multiple Deep Deterministic Policy Gradient Algorithm Autor Wu, Junta, Li, Huiyun

“…Deep deterministic policy gradient algorithm operating over continuous space of actions has attracted great attention for reinforcement learning…”
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An Adaptive Gradient Algorithm for Solving the Buffer Allocation Problem in Unreliable Production Lines Autor Li, Lei, Chen, Mengqiao

“…: maximizing the throughput of a line subject to a total buffer capacity constraint. We propose an efficient gradient algorithm to solve this problem…”
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Optimization control of the double‐capacity water tank‐level system using the deep deterministic policy gradient algorithm Autor Ye, Likun, Jiang, Pei

“…Process control systems are subject to external factors such as changes in working conditions and perturbation interference, which can significantly affect the system's stability and overall performance…”
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Robust control for anaerobic digestion systems of Tequila vinasses under uncertainty: A Deep Deterministic Policy Gradient Algorithm Autor Mendiola-Rodriguez, Tannia A., Ricardez-Sandoval, Luis A.

“… Anaerobic digestion is a complex system subject to external perturbations and parametric uncertainty…”
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A new three-term conjugate gradient algorithm with modified gradient-differences for solving unconstrained optimization problems Autor Guo, Jie, Wan, Zhong

“… On the basis of a modified gradient-difference, this article aims to present a new three-term conjugate gradient algorithm to efficiently solve unconstrained optimization problems…”
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A recent proximal gradient algorithm for convex minimization problem using double inertial extrapolations Autor Kesornprom, Suparat, Inkrong, Papatsara, Witthayarat, Uamporn, Cholamjiak, Prasit

“…In this study, we suggest a new class of forward-backward (FB) algorithms designed to solve convex minimization problems. Our method incorporates a linesearch…”
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An online conjugate gradient algorithm for large-scale data analysis in machine learning Autor Xue, Wei, Wan, Pengcheng, Li, Qiao, Zhong, Ping, Yu, Gaohang, Tao, Tao

“…In recent years, the amount of available data is growing exponentially, and large-scale data is becoming ubiquitous. Machine learning is a key to deriving…”
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A scaled BFGS preconditioned conjugate gradient algorithm for unconstrained optimization Autor Andrei, Neculai

“…This letter presents a scaled memoryless BFGS preconditioned conjugate gradient algorithm for solving unconstrained optimization problems…”
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Another hybrid conjugate gradient algorithm for unconstrained optimization Autor Andrei, Neculai

“…Another hybrid conjugate gradient algorithm is subject to analysis. The parameter β k is computed as a convex combination…”
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An inexact continuation accelerated proximal gradient algorithm for low n-rank tensor recovery Autor Liu, Huihui, Song, Zhanjie

“… Furthermore, in order to solve the unconstrained nonsmooth convex optimization problem, an accelerated proximal gradient algorithm is proposed…”
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An approximate gradient algorithm for constrained distributed convex optimization Autor Zhang, Yanqiong, Lou, Youcheng, Hong, Yiguang

“…In this paper, we propose an approximate gradient algorithm for the multi-agent convex optimization problem with constraints…”
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Accelerated hybrid conjugate gradient algorithm with modified secant condition for unconstrained optimization Autor Andrei, Neculai

“…An accelerated hybrid conjugate gradient algorithm represents the subject of this paper…”
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Brain-Inspired Deep Meta-Reinforcement Learning for Active Coordinated Fault-Tolerant Load Frequency Control of Multi-Area Grids Autor Li, Jiawen, Zhou, Tao, Cui, Haoyang

“… In addition, this paper proposes a brain-Inspired deep meta-deterministic policy gradient algorithm (BIMA-DMDPG…”
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Identifying Cognitive Radars - Inverse Reinforcement Learning using Revealed Preferences Autor Krishnamurthy, Vikram, Angley, Daniel, Evans, Rob, Moran, Bill

“…We consider an inverse reinforcement learning problem involving us versus an enemy radar equipped with a Bayesian tracker. By observing the emissions of the…”
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Advancing SVM classification: Parallelizing conjugate gradient for monotonicity enforcement Autor Chuang, Hui-Chi, Chen, Chih-Chuan, Li, Sheng-Tun

“…•Conjugate gradient is used to minimize subject to linear equality constraints.•The model is applicable to large-scale and complex problems…”
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Distributed Optimal Coordination for Distributed Energy Resources in Power Systems Autor Di Wu, Tao Yang, Stoorvogel, Anton A., Stoustrup, Jakob

“… In this paper, we consider an optimal DER coordination problem over multiple time periods subject to constraints at both system and device levels…”
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