Results 161 to 170 of about 7,645,857 (241)
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IEEE Transactions on Sustainable Energy, 2023
This paper proposes a model for hierarchical combination of deep reinforcement learning (DRL) with quadratic programming for distribution system restoration after major outages. In the proposed model, optimal power dispatch of a collection of distributed
M. Hosseini +2 more
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This paper proposes a model for hierarchical combination of deep reinforcement learning (DRL) with quadratic programming for distribution system restoration after major outages. In the proposed model, optimal power dispatch of a collection of distributed
M. Hosseini +2 more
semanticscholar +1 more source
Robotica (Cambridge. Print), 2019
SUMMARY The Inverse Kinematics (IK) problem of manipulators can be divided into two distinct steps: (1) Problem formulation, where the problem is developed into a form which can then be solved using various methods.
A. Hassan, M. El-Habrouk, S. Deghedie
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SUMMARY The Inverse Kinematics (IK) problem of manipulators can be divided into two distinct steps: (1) Problem formulation, where the problem is developed into a form which can then be solved using various methods.
A. Hassan, M. El-Habrouk, S. Deghedie
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On the indefinite quadratic bilevel programming problem
OPSEARCH, 2004zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Alemayehu, Getinet +2 more
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On the stability of solutions to quadratic programming problems
Mathematical Programming, 2001The paper deals with a class of parametric optimization problems of minimizing a quadratic objective function (which, in general, is not convex) subject to a finite number of linear constraints. Here, the real parameter vector consists of the matrix of the objective function as well as of all linear coefficients describing the problem under ...
Hoang Xuan Phu, Nguyen Dong Yen
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Heuristic algorithms for the bipartite unconstrained 0-1 quadratic programming problem
arXiv.org, 2012We study the Bipartite Unconstrained 0-1 Quadratic Programming Problem (BQP) which is a relaxation of the Unconstrained 0-1 Quadratic Programming Problem (QP).
Daniel Karapetyan, Abraham P. Punnen
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Quadratic Programming Problems
1999In this chapter nonconvex quadratic programming test problems are considered. These test problems have a quadratic objective function and linear constraints. Quadratic programming has numerous applications (Pardalos and Rosen (1987), Floudas and Visweswaran (1995)) and plays an important role in many nonlinear programming methods.
Christodoulos A. Floudas +8 more
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A Method for Solving the Indefinite Quadratic Programming Problem
Management Science, 1970A method is developed for obtaining a solution to the quadratic programming problem with an indefinite quadratic objective function. A search procedure using gradient projection is the core of the method. However at each step an alternate direction to gradient projection is proposed and two methods are given to continue after the revised gradient ...
R. K. Mueller
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A class of continuous quadratic programming problems
Unternehmensforschung Operations Research - Recherche Opérationnelle, 1970The present paper deals with some duality relations of a class of continuous quadratic programming problems. The analysis is developed by use of technique ofDorn for quadratic programming problems.
N. K. Gogia, R. P. Gupta
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A class of differential quadratic programming problems
Applied Mathematics and Computation, 2015zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Xing Wang 0004 +2 more
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