Results 31 to 40 of about 1,754 (168)
Parametric linear semi-infinite programming
Applied Mathematics Letters, 1996 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Lin, C.-J., Fang, S.-C., Wu, Soon-Yi
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Recent advances on support vector machines research
Technological and Economic Development of Economy, 2012 Support vector machines (SVMs), with their roots in Statistical Learning Theory (SLT) and optimization methods, have become powerful tools for problem solution in machine learning.
Yingjie Tian, Yong Shi, Xiaohui Liu
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Specific "scientific" data structures, and their processing [PDF]
Electronic Proceedings in Theoretical Computer Science, 2011 Programming physicists use, as all programmers, arrays, lists, tuples, records, etc., and this requires some change in their thought patterns while converting their formulae into some code, since the "data structures" operated upon, while elaborating ...
Jerzy Karczmarczuk
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A numerical solution for the air pollution control problem in 3D1
Dyna, 2017 This paper studies the minimization of the cost of an air pollution control problem in a three-dimensional region where there exists several sources of pollution.
Alirio Gomez +2 more
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Advances in Difference Equations, 2020 The paper addresses the optimal control and stabilization problems for the indefinite discrete-time mean-field system over infinite horizon. Firstly, we show the convergence of the generalized algebraic Riccati equations (GAREs) and establish their ...
Teng Song, Bin Liu
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Optimal Vibration Control of a Class of Nonlinear Stochastic Systems with Markovian Jump
Shock and Vibration, 2016 The semi-infinite time optimal control for a class of stochastically excited Markovian jump nonlinear system is investigated. Using stochastic averaging, each form of the system is reduced to a one-dimensional partially averaged Itô equation of total ...
R. H. Huan, R. C. Hu, D. Pu, W. Q. Zhu
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Linear programming with inequality constraints via entropic perturbation
International Journal of Mathematics and Mathematical Sciences, 1996 A dual convex programming approach to solving linear programs with inequality constraints through entropic perturbation is derived. The amount of perturbation required depends on the desired accuracy of the optimum.
H.-S. Jacob Tsao, Shu-Cherng Fang
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Robust resource allocation for cognitive relay networks with multiple primary users
EURASIP Journal on Wireless Communications and Networking, 2017 A robust resource allocation (RA) algorithm for cognitive relay networks with multiple primary users considering joint channel uncertainty and interference uncertainty is proposed to maximize the capacity of the networks subject to the interference ...
Weiwei Yang, Xiaohui Zhao
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Optimization’s trajectory of an automatic manipulator using neural networks
Revista Colombiana de Computación, 2008 Neural networks are used bto optimize the trajectory of an automatic manipulator.First, it is had an automatic manipulator of three degrees of freedom. Keywords: Neural Networks, Optimizatión, Semi-infinite programming.
Fedossova A.V., Julian Santoyo
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AxiomsThis article deals with a class of nonsmooth interval-valued multiobjective semi-infinite programming problems with vanishing constraints (NIMSIPVC). We introduce the VC-Abadie constraint qualification (VC-ACQ) for NIMSIPVC and employ it to establish ...
Balendu Bhooshan Upadhyay +2 more
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