Search Results - "Gradient algorithms"

Two improved extrapolated gradient algorithms for pseudo-monotone variational inequalities by Tang, Haoran, Gong, Weiqiang

“…In this paper, the approximation problem for pseudo-monotonic variational inequalities is studied. With the help of the reciprocal form of parameters and the…”
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Open Problems in Nonlinear Conjugate Gradient Algorithms for Unconstrained Optimization by Andrei, Neculai

“…The paper presents some open problems associated to the nonlinear conjugate gradient algorithms for unconstrained optimization…”
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Projected gradient algorithms for optimization over order simplices by Hu, Yi-Qing, Hao, Chun-Lin, Dai, Yu-Hong

“… The primal-dual algorithm proves very useful in projected gradient algorithms applied to general order simplex constrained problems since a series of projection subproblems are requested…”
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Gradient algorithms for polygonal approximation of convex contours by Susca, Sara, Bullo, Francesco, Martínez, Sonia

“…The subjects of this paper are descent algorithms to optimally approximate a strictly convex contour with a polygon…”
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IMPROVED PROJECTED GRADIENT ALGORITHMS FOR SINGLY LINEARLY CONSTRAINED QUADRATIC PROGRAMS SUBJECT TO LOWER AND UPPER BOUNDS by FU, YUN-SHAN, DAI, YU-HONG

“…In this paper, we consider the projected gradient algorithms for solving the quadratic program with bound constraints and a single linear equality constraint (SLBQP…”
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Distributed robust filtering with H∞ consensus of estimates by Ugrinovskii, V.

“… It involves solving a convex optimization/feasibility problem subject to LMI constraints. The special case of balanced interconnection graphs is also considered…”
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Distributed Nesterov-like gradient algorithms by Jakovetic, Dusan, Moura, J. M. F., Xavier, J.

“…In classical, centralized optimization, the Nesterov gradient algorithm reduces the number of iterations to produce an ε-accurate solution…”
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Quadratic programming by Turlach, Berwin A., Wright, Stephen J.

“…Optimization problems in which a quadratic objective function is optimized subject to linear constraints on the parameters are known as quadratic programming problems (QPs…”
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Modeling the transient behavior of stochastic gradient algorithms by Brockett, Roger

“…We investigate the transient behavior of a class of stochastic gradient algorithms…”
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Robust Failure Compensation for a Morphing Aircraft Model Using a Probabilistic Approach by Ataei-Esfahani, Armin, Wang, Qian

“…We present a probabilistic robust control design for a morphing aircraft model subject to uncertain actuator failure…”
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Stochastic Primal–Dual Hybrid Gradient Algorithm with Adaptive Step Sizes by 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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An optimal choice Dai-Liao conjugate gradient algorithm for unconstrained optimization and portfolio selection by 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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A stochastic gradient algorithm with momentum terms for optimal control problems governed by a convection–diffusion equation with random diffusivity by 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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Motion planning for 7-degree-of-freedom bionic arm: Deep deterministic policy gradient algorithm based on imitation of human action by 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 by 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 by 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 by 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 by 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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Fast Distributed Gradient Methods by Jakovetic, Dusan, Xavier, Joao, Moura, Jose M. F.

“… We propose two fast distributed gradient algorithms based on the centralized Nesterov gradient algorithm and establish their convergence rates in terms of the per-node communications K and the per…”
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A new three-term conjugate gradient algorithm with modified gradient-differences for solving unconstrained optimization problems by 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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