Results 51 to 60 of about 619,204 (327)
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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Joint Transceiver Optimization for Multiuser Multi-Antenna Relay Systems With Energy Harvesting
IEEE Access, 2019 In this paper, a multiuser multi-antenna relay system with wireless power transfer is investigated, where the relay node harvests energy from the radio frequency signal sent from the source node and utilizes the harvested energy to forward the ...
Jinlong Wang +4 more
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Convex optimization using quantum oracles [PDF]
Quantum, 2020 We study to what extent quantum algorithms can speed up solving convex optimization problems. Following the classical literature we assume access to a convex set via various oracles, and we examine the efficiency of reductions between the different ...
Joran van Apeldoorn +3 more
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On the Convergence of (Stochastic) Gradient Descent with Extrapolation for Non-Convex Optimization
, 2019 Extrapolation is a well-known technique for solving convex optimization and variational inequalities and recently attracts some attention for non-convex optimization. Several recent works have empirically shown its success in some machine learning tasks.
Jin, Rong +4 more
core +1 more source
A Majorization-Minimization Approach to Design of Power Transmission Networks
, 2010 We propose an optimization approach to design cost-effective electrical power transmission networks. That is, we aim to select both the network structure and the line conductances (line sizes) so as to optimize the trade-off between network efficiency ...
Chertkov, Michael, Johnson, Jason K.
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Convex Optimal Uncertainty Quantification [PDF]
SIAM Journal on Optimization, 2015 Accepted for publication in SIAM Journal on ...
Han, Shuo +4 more
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Journal of Applied Clinical Medical Physics, EarlyView.Abstract Purpose Stereotactic radiotherapy (SRT) is a highly effective treatment with precision for small, localized lesions. Proton therapy, characterized by the Bragg peak, offers superior dose conformity compared to photon‐based approaches. However, challenges remain in minimizing lateral penumbra and optimizing dose delivery, particularly for small
Chen‐Yu Chou +3 more
wiley +1 more source
Sensors, 2013 Deployment is a critical issue affecting the quality of service of camera networks. The deployment aims at adopting the least number of cameras to cover the whole scene, which may have obstacles to occlude the line of sight, with expected observation ...
Guangming Shi +3 more
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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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Fuzzy convexity and multiobjective convex optimization problems
Computers & Mathematics with Applications, 2006 AbstractIn this paper, based on the more restrictive definition of fuzzy convexity due to Ammar and Metz [1], several useful composition rules are developed. The advantages in using the more restrictive definition of fuzzy convexity are that local optimality implies global optimality, and that any convex combination of such convex fuzzy sets is also a ...
Yu-Ru Syau +3 more
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