Results 11 to 20 of about 3,886 (164)
Weak infeasibility in second order cone programming [PDF]
Optimization Letters, 2015 10 ...
Lourenço, Bruno F. +2 more
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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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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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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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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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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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An Active Set Method for Single-Cone Second-Order Cone Programs [PDF]
SIAM Journal on Optimization, 2006 Summary: We develop an active set method for solving second-order cone programs that may have an arbitrary number of linear constraints but are restricted to having only one second-order cone constraint. Problems of this form arise in the context of robust optimization and trust region methods.
Erdoğan, E., Iyengar, G.
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