Results 31 to 40 of about 67,874 (310)
Randomized gradient-free methods in convex optimization [PDF]
, 2023 This review presents modern gradient-free methods to solve convex optimization problems. By gradient-free methods, we mean those that use only (noisy) realizations of the objective value.
Dvurechensky, Pavel +5 more
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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 +2 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
doaj +1 more source
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 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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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
doaj +1 more source
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
doaj +1 more source
Exploiting Higher-order Derivates in Convex Optimization Methods [PDF]
, 2023 Exploiting higher-order derivatives in convex optimization is known at least since 1970's. In each iteration higher-order (also called tensor) methods minimize a regularized Taylor expansion of the objective function, which leads to faster convergence ...
Dvurechensky, Pavel +4 more
core +1 more source
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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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
doaj +1 more source