Results 11 to 20 of about 19,030 (190)
Incremental Subgradient Methods for Nondifferentiable Optimization [PDF]
SIAM Journal on Optimization, 2001 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Nedic, Angelia, Bertsekas, Dimitri P.
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Subgradient Methods for Sharp Weakly Convex Functions [PDF]
Journal of Optimization Theory and Applications, 2018 16 pages, 3 ...
Damek Davis +3 more
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Fixed point quasiconvex subgradient method [PDF]
European Journal of Operational Research, 2020 Constrained quasiconvex optimization problems appear in many fields, such as economics, engineering, and management science. In particular, fractional programming, which models ratio indicators such as the profit/cost ratio as fractional objective functions, is an important instance.
Kazuhiro Hishinuma, Hideaki Iiduka
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Mathematics, 2021 We propose two Mann-type subgradient-like extra gradient iterations with the line-search procedure for hierarchical variational inequality (HVI) with the common fixed-point problem (CFPP) constraint of finite family of nonexpansive mappings and an ...
Lu-Chuan Ceng +2 more
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Mathematics, 2022 The paper develops a modified inertial subgradient extragradient method to find a solution to the variational inequality problem over the set of common solutions to the variational inequality and null point problems.
Yanlai Song, Omar Bazighifan
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Self-adaptive subgradient extragradient-type methods for solving variational inequalities
Journal of Inequalities and Applications, 2022 In this paper, we introduce two subgradient extragradient-type algorithms for solving variational inequality problems in the real Hilbert space. The first one can be applied when the mapping f is strongly pseudomonotone (not monotone) and Lipschitz ...
Beibei Ma, Wanyu Wang
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Parallel FPGA Routers With Lagrange Relaxation
IEEE Access, 2023 Routing of the nets in Field Programmable Gate Array (FPGA) design flow is one of the most time consuming steps. Although Versatile Place and Route (VPR), which is a commonly used algorithm for this purpose, routes effectively, it is slow in execution ...
Rohit Agrawal +5 more
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On the Problem of Planning of Multi-Product Flows and Modernization of the Transportation Network
Кібернетика та комп'ютерні технології, 2021 Introduction. The problems of optimal planning of multi-product flows on transportation networks have a variety of important practical applications (transportation, logistics, communication networks). The mathematical models of these problems, as a rule,
Nikolay Zhurbenko, Boris Chumakov
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Subgradient Descent Learning Over Fading Multiple Access Channels With Over-the-Air Computation
IEEE Access, 2023 We focus on a distributed learning problem in a communication network, consisting of $N$ distributed nodes and a central parameter server (PS). The PS is responsible for performing the computation based on data received from the nodes, which are ...
Tamir L. S. Gez, Kobi Cohen
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On Subgradient Methods with Polyak’s Step and Space Transformation
Кібернетика та комп'ютерні технології, 2022 Introduction. Minimization of ravine convex functions, both smooth and non-smooth, arises in many problems of planning, control, stability analysis of dynamic systems, artificial intelligence, and machine learning.
Viktor Stovba, Oleksandr Zhmud
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