Results 61 to 70 of about 2,134,101 (207)
Simultaneous Tensor Completion and Denoising by Noise Inequality Constrained Convex Optimization
IEEE Access, 2019 Convex optimization, rather than a non-convex approach, still play important roles in many computer science applications because of its exactness and efficiency.
Tatsuya Yokota, Hidekata Hontani
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Fuzzy convexity and multiobjective convex optimization problems
Computers & Mathematics with Applications, 2006 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yu-Ru Syau, E. Stanley Lee
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Energy Reports, 2020 This paper presents the development of a new hybrid optimization technique termed as Immune-Commensal-Evolutionary Programming (ICEP) and its implementation to solve non-smooth/ non-convex Economic Dispatch (ED) problem.
Mohd Helmi Mansor +5 more
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Barrier Algorithms for constrained Non-Convex Optimization [PDF]
In this paper we theoretically show that interior-point methods based on self-concordant barriers possess favorable global complexity beyond their standard application area of convex optimization. To do that we propose first- and second-order methods for
Dvurechensky, Pavel, Staudigl, Mathias
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Rapid ascent trajectory optimization of rocket-based combined cycle hypersonic vehicle
Xibei Gongye Daxue Xuebao, 2023 The ascent trajectory design of a rocket-based combined cycle (RBCC) hypersonic vehicle has many typical characteristics, including the complex working mode of the RBCC power system, strong coupling between thrust and flight state, strong nonlinear model
YAN Xunliang +3 more
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Research on Energy Efficiency of Wireless Powered Communication Network in Cognitive Radio Environment [PDF]
Jisuanji gongcheng, 2019 In order to improve the energy efficiency of Wireless Powered Communication Network(WPCN),a multiple signal source acquisition model in cognitive radio environment is established.Because the model optimization problem is a non-convex problem,it is ...
FENG Gang,QIN Xizhong,JIA Zhenhong,NIU Hongmei,WANG Zhehui
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New algorithms for the dual of the convex cost network flow problem with application to computer vision [PDF]
, 2007 Motivated by various applications to computer vision, we consider an integer convex optimization problem which is the dual of the convex cost network flow problem.
Kolmogorov, V., Shioura, A.
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A hypothesis about the rate of global convergence for optimal methods (Newtons type) in smooth convex optimization [PDF]
Компьютерные исследования и моделирование, 2018 In this paper we discuss lower bounds for convergence of convex optimization methods of high order and attainability of this bounds. We formulate a hypothesis that covers all the cases.
Alexander Vladimirovich Gasnikov +1 more
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Mathematics, 2023 A high-precision online trajectory optimization method combining convex optimization and Radau pseudospectral method is presented for the large attitude flip vertical landing problem of a starship-like vehicle. During the landing process, the aerodynamic
Hongbo Chen +3 more
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Optimal Resource Allocation for Two-User and Single-DF-Relay Network With Ambient Backscatter
IEEE Access, 2019 In this paper, we investigate and analyze a two-user single decode-and-forward (DF) relay network with ambient backscatter communication capabilities, where the user nodes and the relay node are equipped with a wireless-powered device instead of embedded
Chuangming Zheng +2 more
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