Results 11 to 20 of about 39,060 (206)
NEXT: In-Network Nonconvex Optimization
IEEE Transactions on Signal and Information Processing over Networks, 2016 We study nonconvex distributed optimization in multi-agent networks with time-varying (nonsymmetric) connectivity. We introduce the first algorithmic framework for the distributed minimization of the sum of a smooth (possibly nonconvex and nonseparable) function - the agents' sum-utility - plus a convex (possibly nonsmooth and nonseparable) regularizer.
Di Lorenzo Paolo, Scutari Geusaldo
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IEEE Access, 2022 UAV-enabled mobile edge computing (MEC) is an emerging technology to support resource-intensive yet delay-sensitive applications with edge clouds (ECs) deployed in the proximity to mobile users and UAVs served as computing base stations in the air.
Zhe Yu, Guoliang Fan
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Generalized Nonconvex Nonsmooth Low-Rank Minimization [PDF]
, 2014 As surrogate functions of $L_0$-norm, many nonconvex penalty functions have been proposed to enhance the sparse vector recovery. It is easy to extend these nonconvex penalty functions on singular values of a matrix to enhance low-rank matrix recovery ...
Lin, Zhouchen +3 more
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Resource Allocation for a Secure SWIPT Network Based on a Quantitative Energy Harvesting Mechanism
Sensors, 2023 Simultaneous wireless information and power transfer (SWIPT) technology can effectively extend the lifecycle of energy-constrained networks. In order to improve the energy harvesting (EH) efficiency and network performance in secure SWIPT networks, this ...
Long Zhu +3 more
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Optimizing operations of large-scale water supply networks: a case study [PDF]
, 2012 In this paper we propose a mathematical programming model for a large drinking water supply network and discuss some possible extensions. The proposed optimization model is of a real water distribution network, the largest water supply network in ...
Aghezzaf, El-Houssaine +2 more
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Global Solutions to Nonconvex Optimization of 4th-Order Polynomial and Log-Sum-Exp Functions [PDF]
, 2014 This paper presents a canonical dual approach for solving a nonconvex global optimization problem governed by a sum of fourth-order polynomial and a log-sum-exp function. Such a problem arises extensively in engineering and sciences.
Chen, Yi, Gao, David Y
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Generalized-Smooth Nonconvex Optimization is As Efficient As Smooth Nonconvex Optimization
, 2023 Various optimal gradient-based algorithms have been developed for smooth nonconvex optimization. However, many nonconvex machine learning problems do not belong to the class of smooth functions and therefore the existing algorithms are sub-optimal. Instead, these problems have been shown to satisfy certain generalized-smooth conditions, which have not ...
Chen, Ziyi +3 more
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Energies, 2022 Economic load dispatch (ELD) provides significant benefits to the operation of the power system. It appears to be a complex nonconvex optimization problem subject to several equal and unequal constraints.
Ali S. Alghamdi
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IEEE Access, 2017 Although particle swarm optimization (PSO) in its standard form performs extremely well for less complicated convex optimization problems involving reduced search space, it fails in finding global optimal solutions for more complicated nonconvex ...
Ghulam Abbas +5 more
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Fixed Point Theory and Applications, 2018 This paper revisits the well-studied fixed point problem from a unified viewpoint of mathematical modeling and canonical duality theory, i.e., the general fixed point problem is first reformulated as a nonconvex optimization problem, its well-posedness ...
Ning Ruan, David Yang Gao
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