Results 41 to 50 of about 2,134,101 (207)
Energy Informatics, 2021 Non-convex scheduling of energy production allows for more complex models that better describe the physical nature of the energy production system. Solutions to non-convex optimization problems can only be guaranteed to be local optima.
Jakob Bjørnskov +5 more
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Recent Theoretical Advances in Non-Convex Optimization
, 2022 Motivated by recent increased interest in optimization algorithms for non-convex optimization in application to training deep neural networks and other optimization problems in data analysis, we give an overview of recent theoretical results on global ...
Pavel Dvurechensky +13 more
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Digital Chemical Engineering, 2023 With increasing digitalization and vertical integration of chemical process systems, nonconvex optimization problems often emerge in chemical engineering applications, yet require specialized optimization techniques.
Yingwei Yuan, Kamil A. Khan
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Necessary and sufficient condition on global optimality without convexity and second order differentiability [PDF]
, 2012 The main goal of this paper is to give a necessary and sufficient condition of global optimality for unconstrained optimization problems, when the objective function is not necessarily convex. We use Gâteaux differentiability of the objective function
Burai, Pál
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Distributed strongly convex optimization [PDF]
2012 50th Annual Allerton Conference on Communication, Control, and Computing (Allerton), 2012 18 pages single column draftcls format, 1 figure, Submitted to Allerton ...
Konstantinos I. Tsianos +1 more
openaire +3 more sources
Applied Sciences, 2016 Convex 1-D first-order total variation (TV) denoising is an effective method for eliminating signal noise, which can be defined as convex optimization consisting of a quadratic data fidelity term and a non-convex regularization term.
Cancan Yi, Yong Lv, Zhang Dang, Han Xiao
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Aerospace, 2023 This paper presents new techniques for the trajectory design and control of nonlinear dynamical systems. The technique uses a convex polytope to bound the range of the nonlinear function and associates with each vertex an auxiliary linear system ...
Olli Jansson, Matthew W. Harris
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Convex optimization–based multi-user detection in underwater acoustic sensor networks
International Journal of Distributed Sensor Networks, 2018 Multi-carrier code-division multiple access is an important technical means for high-performance underwater acoustic sensor networks. Nevertheless, severe multiple access interference is a huge challenge.
Jianping Wang +4 more
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Communication and Computation Cooperation in Wireless Network for Mobile Edge Computing
IEEE Access, 2019 The advantages of mobile edge computing (MEC) in lower energy consumption, improved bandwidth and reduced delay have attracted extensive studies. We consider a multiple smart wearable devices (SWDs) single smart mobile device (SMD) MEC system where the ...
Yang Li +4 more
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Particle Swarm Optimization for Hydraulic Analysis of Water Distribution Systems [PDF]
Civil Engineering Infrastructures Journal, 2015 The analysis of flow in water-distribution networks with several pumps by the Content Model may be turned into a non-convex optimization uncertain problem with multiple solutions.
Naser Moosavian +1 more
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