Results 121 to 130 of about 3,903 (165)
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Second-order variational analysis in second-order cone programming

Mathematical Programming, 2018
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Hang N.T.V.   +2 more
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The method for second order cone programming

Computers & Operations Research, 2008
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Xia, Yu, Alizadeh, Farid
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Relaxed robust second-order-cone programming

Applied Mathematics and Computation, 2009
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Averbakh, I., Zhao, Y. B.
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Quadratic, Semidefinite, and Second-Order Cone Programming

2021
Quadratic programming (QP) is a family of methods, techniques, and algorithms that can be used to minimize quadratic objective functions subject to linear constraints. QP shares many combinatorial features with linear programming (LP) and it is often used as the basis of constrained nonlinear programming.
Andreas Antoniou, Wu-Sheng Lu
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Link Prediction via Second Order Cone Programming

Proceedings of the 10th ACM Conference on Web Science, 2019
Link Prediction has emerged as an important problem with the recent interest in studying large scale social graphs. User interactions on social networks can be represented as signed directed graphs where the links represent nature of their relation. Positive links correspond to trust/friendship among nodes.
Shreya Malani   +2 more
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Second‐order cone programming formulation of discontinuous deformation analysis

International Journal for Numerical Methods in Engineering, 2019
SummaryIn classic discontinuous deformation analysis (DDA), artificial springs must be employed to enforce the contact condition through the open‐close iteration. However, improper stiffness parameters might cause numerical problems. The main goal of this paper is to propose a new framework of DDA using second‐order cone programming.
Jingjing Meng   +5 more
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Second order symmetric duality in multiobjective programming involving cones

Optimization Letters, 2012
This paper refers to a previous publication by \textit{S. K. Mishra} and \textit{K. K. Lai} in [Eur. J. Oper. Res. 178, No. 1, 20--26 (2007; Zbl 1110.90076)]. The authors of the new paper write that they discuss and remove some omissions and inconsistencies contained in this paper from 2007.
Ahmad, Izhar, Husain, Zakir
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Optimal Magnetic Shield Design with Second-Order Cone Programming

SIAM Journal on Scientific Computing, 2003
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Sasakawa, Takashi, Tsuchiya, Takashi
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Two-dimensional Second-Order Cone Programming

International Journal of Operational Research, 2009
We show that the primal and dual 2-dimensional second-order cone programs in standard form are equivalent to the standard-form primal and dual linear programs via a linear transformation. We show how variables in the Second-Order Cone (SOC) programs and the linear programs are related by the transformation. Based on the transformation, we interpret the
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SVM Training: Second-Order Cone Programming versus Quadratic Programming

The 2006 IEEE International Joint Conference on Neural Network Proceedings, 2006
The support vector machine (SVM) problem is a convex quadratic programming problem which scales with the training data size. If the training size is large, the problem cannot be solved by straighforward methods. The large-scale SVM problems are tackled by applying chunking (decomposition) technique.
R. Debnath, H. Takahashi
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