Results 21 to 30 of about 158,034 (313)
Journal of Inequalities and Applications, 2023 In this paper, we present an inexact multiblock alternating direction method for the point-contact friction model of the force-optimization problem (FOP).
Yaling Zhang, Xuewen Mu
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ICT Express, 2021 In this paper, we address the problem of joint transmit beamforming and power control for a multiuser multiple-input single-output (MISO) indoor optical downlink channel.
Sudhanshu Arya +4 more
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Journal of Inequalities and Applications, 2020 The convex nonlinear second-order cone programming with linear constraints is equivalent to a separate structure convex programming. A prediction-correction inexact alternating direction method is proposed for the separate structure convex programming ...
Yaling Zhang, Hongwei Liu
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Efficient Hyperkernel Learning Using Second-Order Cone Programming [PDF]
IEEE Transactions on Neural Networks, 2004 The kernel function plays a central role in kernel methods. Most existing methods can only adapt the kernel parameters or the kernel matrix based on empirical data. Recently, Ong et al. introduced the method of hyperkernels which can be used to learn the kernel function directly in an inductive setting. However, the associated optimization problem is a
Tsang, Ivor, Kwok, James Tin-Yau
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Journal of Inequalities and Applications, 2016 It is well known that the second-order cone and the circular cone have many analogous properties. In particular, there exists an important distance inequality associated with the second-order cone and the circular cone.
Xin-He Miao +2 more
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Scalable SOCP-based localization technique for wireless sensor network [PDF]
EAI Endorsed Transactions on Industrial Networks and Intelligent Systems, 2016 Node localization is one of the essential requirements to most applications of wireless sensor networks. Thispaper presents a detailed implementation of a centralized localization technique for WSNs based on SecondOrder Cone Programming (SOCP).
Randa M. Abdelmoneem, Eman Shaaban
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Computing Optimal Designs of multiresponse Experiments reduces to Second-Order Cone Programming [PDF]
, 2010 Elfving's Theorem is a major result in the theory of optimal experimental design, which gives a geometrical characterization of $c-$optimality. In this paper, we extend this theorem to the case of multiresponse experiments, and we show that when the ...
Sagnol, Guillaume
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Second-Order Cone Programming Formulations for Robust Multiclass Classification [PDF]
Neural Computation, 2007 Multiclass classification is an important and ongoing research subject in machine learning. Current support vector methods for multiclass classification implicitly assume that the parameters in the optimization problems are known exactly. However, in practice, the parameters have perturbations since they are estimated from the training data, which are
Zhong, Ping, Fukushima, Masao
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Mathematics, 2022 The Sharpe ratio is a measure based on the theory of mean variance, it is the measure of the performance of a portfolio when the risk can be measured through the standard deviation.
Lesly Lisset Ortiz-Cerezo +2 more
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A cell-based smoothed finite element method for kinematic limit analysis [PDF]
, 2010 This paper presents a new numerical procedure for kinematic limit analysis problems, which incorporates the cell-based smoothed finite element method with second-order cone programming.
Anderheggen +59 more
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