Results 41 to 50 of about 619,204 (327)
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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On the Exactness of an Energy-efficient Train Control model based on Convex Optimization [PDF]
arXiv, 2022 In this paper, we demonstrate the exactness proof for the energy-efficient train control (EETC) model based on convex optimization. The proof of exactness shows that the convex optimization model will share the same optimization results with the initial model on which the convex relaxations are conducted. We first show how the relaxation on the initial
arxiv
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
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Optimal Energy-Delay in Energy Harvesting Wireless Sensor Networks with Interference Channels
Sensors, 2019 In this work, we investigate the capacity allocation problem in the energy harvesting wireless sensor networks (WSNs) with interference channels. For the fixed topologies of data and energy, we formulate the optimization problem when the data flow ...
Dongbin Jiao +3 more
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Greedy Approximation in Convex Optimization [PDF]
Constructive Approximation, 2015 We study sparse approximate solutions to convex optimization problems. It is known that in many engineering applications researchers are interested in an approximate solution of an optimization problem as a linear combination of elements from a given system of elements. There is an increasing interest in building such sparse approximate solutions using
Vladimir Temlyakov, Vladimir Temlyakov
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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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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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