An infeasible full NT-step interior point method for circular optimization
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Kheirfam, Behrouz, Wang, Guoqiang
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A Full Nesterov-Todd Step Infeasible Interior-point Method for Symmetric Optimization in the Wider Neighborhood of the Central Path. [PDF]
Lesaja G, Wang GQ, Oganian A.
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Improved Full-Newton-Step Infeasible Interior-Point Method for Linear Complementarity Problems
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.
Lesaja, Goran, Ozen, Mustafa
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A preconditioned inexact infeasible quantum interior point method for linear optimization
Abstract Quantum Interior Point Methods (QIPMs) have been attracting significant interests recently due to their potential of solving optimization problems substantially faster than state-of-the-art conventional algorithms. In general, QIPMs use Quantum Linear System Algorithms (QLSAs) to substitute classical linear system solvers ...
Zeguan Wu, Xiu Yang, Tamás Terlaky
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An inexact infeasible arc-search interior-point method for linear optimization
28 pages, 3 ...
Iida, Einosuke, Yamashita, Makoto
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A Mizuno-Todd-Ye predictor-corrector infeasible-interior-point method for symmetric optimization with the arc-search strategy. [PDF]
Yang X, Zhang Y.
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An infeasible Predictor-Corrector Interior Point Method Applied to Image Denoising
Image recovery problems can be solved using optimization techniques. In this case, they often lead to the resolution of either a large scale quadratic program, or, equivalently, to a nondifferentiable minimization problem. Interior point methods are widely known for their efficiency in linear programming. Lately, they have been extended with success to
Pola, Cecilia, Sagastizábal, Claudia
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An infeasible-interior-point method for the \(P_\ast(k)\) -matrix LCP
Not available.
Jun Ji, Florian A. Potra
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An Inexact Feasible Quantum Interior Point Method for Linearly Constrained Quadratic Optimization. [PDF]
Wu Z +4 more
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Integration of AR and deep learning-based image classification using CNN for construction project monitoring. [PDF]
Fan SL +6 more
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