Results 31 to 40 of about 19,699 (306)
Proposed shunt rounding technique for large-scale security constrained loss minimization [PDF]
, 2010 The official published version can be obtained from the link below - Copyright @ 2010 IEEE.Optimal reactive power flow applications often model large numbers of discrete shunt devices as continuous variables, which are rounded to their nearest discrete ...
Irving, MR +4 more
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Abstract and Applied Analysis, 2013 The present paper is divided into two parts. First, we introduce implicit and explicit iterative schemes based on the regularization for solving equilibrium and constrained convex minimization problems.
Ming Tian
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Robust solutions to box-constrained stochastic linear variational inequality problem
Journal of Inequalities and Applications, 2017 We present a new method for solving the box-constrained stochastic linear variational inequality problem with three special types of uncertainty sets.
Mei-Ju Luo, Yan Zhang
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The Ball-Relaxed Gradient-Projection Algorithm for Split Feasibility Problem
Journal of Function Spaces, 2022 In this paper, we concern with the split feasibility problem (SFP) whenever the convex sets involved are composed of level sets. By applying Gradient-projection algorithm which is used to solve constrained convex minimization problem of a real valued ...
Xiaochun Li, Xiaoxiao Liu, Fugen Gao
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A comparison of classical scheduling approaches in power-constrained block-test scheduling [PDF]
, 2000 Classical scheduling approaches are applied here to overcome the problem of unequal-length block-test scheduling under power dissipation constraints. List scheduling-like approaches are proposed first as greedy algorithms to tackle the fore mentioned ...
Wang, Xiaojun +6 more
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Weak and Strong Superiorization: Between Feasibility-Seeking and Minimization
Analele Stiintifice ale Universitatii Ovidius Constanta: Seria Matematica, 2015 We review the superiorization methodology, which can be thought of, in some cases, as lying between feasibility-seeking and constrained minimization. It is not quite trying to solve the full edged constrained minimization problem; rather, the task is to ...
Censor Yair
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New iterative methods for equilibrium and constrained convex minimization problems [PDF]
, 2019 The gradient-projection algorithm (GPA) plays an important role in solving constrained convex minimization problems. In this paper, we combine the GPA and averaged mapping approach to propose implicit and explicit composite iterative schemes for finding ...
Maryam Yazdi
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On the Solution of the Eigenvalue Assignment Problem for Discrete-Time Systems
Journal of Applied Mathematics, 2017 The output feedback eigenvalue assignment problem for discrete-time systems is considered. The problem is formulated first as an unconstrained minimization problem, where a three-term nonlinear conjugate gradient method is proposed to find a local ...
El-Sayed M. E. Mostafa +2 more
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A new iterative method for generalized equilibrium and constrained convex minimization problems [PDF]
, 2020 The gradient-projection algorithm (GPA) plays an important role in solving constrained convex minimization problems. In this paper, we combine the GPA and averaged mapping approach to propose an explicit composite iterative scheme for finding a common ...
Yazdi, M.
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Abstract and Applied Analysis, 2014 We introduced an implicit and an explicit iteration method based on the hybrid steepest descent method for finding a common element of the set of solutions of a constrained convex minimization problem and the set of solutions of a split variational ...
Jitsupa Deepho, Poom Kumam
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