Results 31 to 40 of about 3,006 (163)
A QP Solver Implementation for Embedded Systems Applied to Control Allocation
Computation, 2020 Quadratic programming problems (QPs) frequently appear in control engineering. For use on embedded platforms, a QP solver implementation is required in the programming language C.
Christina Schreppel, Jonathan Brembeck
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Convex quadratic and semidefinite programming relaxations in scheduling [PDF]
Journal of the ACM, 2001 We consider the problem of scheduling unrelated parallel machines subject to release dates so as to minimize the total weighted completion time of jobs. The main contribution of this paper is a provably good convex quadratic programming relaxation of strongly polynomial size for this problem. The best previously known approximation algorithms are based
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Zeroing neural network for time-varying convex quadratic programming with linear noise
Tongxin xuebao, 2023 Aiming at the problem that linear time-varying noise may have a negative impact on the existing zeroing neural network model to solve TVQP problem, resulting in slow convergence and low accuracy of the model, a double integral enhancement zeroing neural ...
Jianfeng LI +7 more
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A convex-relaxation based method for optimal water-power flow
Energy Reports, 2022 This paper proposes a convex reformulation for the non-linear optimal water-power flow (OWPF) problem to optimize the operation cost of the integrated electricity–water network (IEWN).
Xinyi Li +4 more
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Parallel Constraint Distribution in Convex Quadratic Programming [PDF]
Mathematics of Operations Research, 1994 We consider convex quadratic programs with large numbers of constraints. We distribute these constraints among several parallel processors and modify the objective function for each of these subproblems with Lagrange multiplier information from the other processors.
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Ain Shams Engineering JournalThis research deals with the economic-environmental dispatch problem (EEDP) in multi-terminal high-voltage direct-current (MT-HVDC) systems by proposing a convex approximation based on semi-definite programming (SDP).
Wilmar Contreras-Sepúlveda +2 more
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Distributionally Robust Joint Chance Constrained Problem under Moment Uncertainty
Journal of Applied Mathematics, 2014 We discuss and develop the convex approximation for robust joint chance constraints under uncertainty of first- and second-order moments. Robust chance constraints are approximated by Worst-Case CVaR constraints which can be reformulated by a ...
Ke-wei Ding
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Designing Camera Networks by Convex Quadratic Programming [PDF]
Computer Graphics Forum, 2015 AbstractIn this paper, we study the problem of automatic camera placement for computer graphics and computer vision applications. We extend the problem formulations of previous work by proposing a novel way to incorporate visibility constraints and camera‐to‐camera relationships.
Bernard Ghanem, Yuanhao Cao, Peter Wonka
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Fuzzy goal programming technique for multi-objective indefinite quadratic bilevel programming problem [PDF]
Archives of Control Sciences, 2020 Bilevel programming problem is a non-convex two stage decision making process in which the constraint region of upper level is determined by the lower level problem.
Ritu, Arora, Kavita, Gupta
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Uncertainty analysis of torque-induced bending deformations in ball screw systems
Advances in Mechanical Engineering, 2015 In order to study the torque-induced bending deformation in ball screw systems with uncertain-but-bounded parameters, uncertainty analysis of torque-induced bending deformations in ball screw systems based on an numerical method combined second-order ...
Gao Xiangsheng, Wang Min, Li Qi, Zan Tao
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