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An Inexact Feasible Quantum Interior Point Method for Linearly Constrained Quadratic Optimization [PDF]
Entropy, 2023 Quantum linear system algorithms (QLSAs) have the potential to speed up algorithms that rely on solving linear systems. Interior point methods (IPMs) yield a fundamental family of polynomial-time algorithms for solving optimization problems. IPMs solve a
Zeguan Wu +4 more
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Komputasi Aliran Daya Optimal Sistem Tenaga Skala Besar dengan Metode Primal Dual Interior Point [PDF]
Jurnal Rekayasa Elektrika, 2016 This paper focuses on the use of Primal Dual Interior Point method in the analysis of optimal power flow. Optimal power flow analysis with Primal Dual Interior Point method then compared with Linear Programming Method using Matpower program.
Syafii Syafii, Ikhwannul Kadri Masrul
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Robust Interior Point Method for Quantum Key Distribution Rate Computation [PDF]
Quantum, 2022 Security proof methods for quantum key distribution, QKD, that are based on the numerical key rate calculation problem, are powerful in principle. However, the practicality of the methods are limited by computational resources and the efficiency and ...
Hao Hu +4 more
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Efficient method to compute search directions of infeasible primal-dual path-following interior-point method for large scale block diagonal quadratic programming [PDF]
Songklanakarin Journal of Science and Technology (SJST), 2021 Quadratic programming is an important optimization problem that has applications in many areas such as finance, control, and management. Quadratic programs arisen in practice are often large but sparse, and they usually cannot be solved efficiently ...
Duangpen Jetpipattanapong +1 more
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Ergodic Capacity Analysis of Downlink Communication Systems under Covariance Shaping Equalizers
Mathematics, 2022 Advances in higher-end spectrum utilization has enabled user equipment to dock multiple antenna elements, and hence make use of selectivity via equalization in new generation of mobile networks.
Ubaid M. Al-Saggaf +2 more
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Journal of Computational and Applied Mathematics, 2000 The simplex method starts from a basic feasible solution and moves along the boundary of the feasible region until an optimum is reached. At each step, the algorithm brings only one new variable into the basic set, regardless of the total number of variables.
Potra, Florian A., Wright, Stephen J.
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Optimal operation of cascade hydropower station based on interior point method
Energy Reports, 2022 The optimal operation of cascade hydropower station is a hydropower system based on the optimal operation method of a single reservoir and considering the water relations between reservoirs.
Shuai Feng, Yun Zhu
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Algorithms, 2021 We consider the facility layout problem (FLP) in which we find the arrangements of departments with the smallest material handling cost that can be expressed as the product of distance times flows between departments.
Shunichi Ohmori, Kazuho Yoshimoto
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Improved Full-Newton-Step Infeasible Interior-Point Method for Linear Complementarity Problems
Croatian Operational Research Review, 2016 We present an Infeasible Interior-Point Method for monotone Linear Complementarity Problem (LCP) which is an improved version of the algorithm given in [13]. In the earlier version, each iteration consisted of one feasibility step and few centering steps.
Goran Lešaja, Mustafa Ozen
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Mathematics, 2021 The paper deals with the Stokes flow subject to the threshold leak boundary conditions in two and three space dimensions. The velocity–pressure formulation leads to the inequality type problem that is approximated by the P1-bubble/P1 mixed finite ...
Jaroslav Haslinger +3 more
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