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检索条件"主题词=convex objective functions"
5 条 记 录,以下是1-10 订阅
Multivariate ρ-quantiles: A spatial approach
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BERNOULLI 2022年 第3期28卷 1912-1934页
作者: Konen, Dimitri Paindaveine, Davy Univ Libre Bruxelles ECARES Ave FD Roosevelt 50CP114-04 B-1050 Brussels Belgium ECARES Dept Math Ave FD Roosevelt 50CP114-04 B-1050 Brussels Belgium Univ Toulouse Capitole Toulouse Sch Econ 1 Esplanade Univ F-31080 Toulouse 06 France
By substituting an L-p loss function for the L-1 loss function in the optimization problem defining quantiles, one obtains L-p-quantiles that, as shown recently, dominate their classical L-1-counterparts in financial ... 详细信息
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Primal-dual potential reduction algorithm for symmetric programming problems with nonlinear objective functions
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LINEAR ALGEBRA AND ITS APPLICATIONS 2018年 536卷 228-249页
作者: Faybusovich, Leonid Univ Notre Dame Dept Math Notre Dame IN 46556 USA
We consider a primal-dual potential reduction algorithm for nonlinear convex optimization problems over symmetric cones. The same complexity estimates as in the case of the linear objective function are obtained provi... 详细信息
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Parallel and Distributed Methods for Constrained Nonconvex Optimization-Part II: Applications in Communications and Machine Learning
Parallel and Distributed Methods for Constrained Nonconvex O...
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IEEE Transactions on Signal Processing
作者: Scutari, Gesualdo Facchinei, Francisco Lampariello, Lorenzo Sardellitti, Stefania Song, Peiran School of Industrial Engineering Purdue University West-LafayetteIN47907 United States Department of Computer Control and Management Engineering University of Rome 'La Sapienza' Rome00184 Italy Department of Business Studies Roma Tre University Roma00154 Italy Department of Information Electronics and Telecommunications University of Rome 'La Sapienza' Rome00184 Italy School of Information and Communication Engineering Beijing Information Science and Technology University Beijing100101 China
In Part I of this paper, we proposed and analyzed a novel algorithmic framework for the minimization of a nonconvex objective function, subject to nonconvex constraints, based on inner convex approximations. This Part... 详细信息
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Minimax Differentiability via the Averaged Adjoint for Control/Shape Sensitivity. Research of the first author supported by a Discovery Grant from the Natural Sciences and Engineering Research Council of Canada.
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IFAC-PapersOnLine 2016年 第8期49卷 142-149页
作者: Delfour, Michel C. Sturm, Kevin H3C 3J7 Canada Universität Duisburg-Essen Fakultat für Mathematik Thea-Leymann-straße 9 EssenD-45127 Germany
A standard approach to the minimization of a state constrained objective function in Control/Shape Optimization problems is to consider the minimax of the associated Lagrangian. In this paper, this construction is use... 详细信息
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Joint precoding and load balancing optimization for energy-efficient heterogeneous networks
Joint precoding and load balancing optimization for energy-e...
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IEEE Transactions on Wireless Communications
作者: Li, Jingya Bjornson, Emil Svensson, Tommy Eriksson, Thomas Debbah, Merouane Department of Signals and Systems Chalmers University of Technology Gothenburg412 96 Sweden Supélec Gif-sur-Yvette91190 France Department of Signal Processing KTH Royal Institute of Technology Stockholm100 44 Sweden Linköping University Linköping581 83 Sweden CentraleSupélec Gif-sur-Yvette91190 France
This paper considers a downlink heterogeneous network, where different types of multiantenna base stations (BSs) communicate with a number of single-antenna users. Multiple BSs can serve the users by spatial multiflow... 详细信息
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