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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Phylogenetics in a Warm Place: Computational Aspects of the Tropical Grassmannian. [PDF]
Bhatt S +5 more
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The Ritz Adjoint Method for MRI Pulse Design. [PDF]
Drago JM +5 more
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Parameter Estimation of Microkinetic Models for Heterogeneous Catalysis. [PDF]
Ahmed MGT, Nath Roy B, Hasan MMF.
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T-SMmOTE: tweaked synthetic majority minority oversampling technique for data scarcity issue in multi omics studies. [PDF]
Sadhukhan P, Acharjee A.
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Virtual sensing to enable real-time monitoring of inaccessible locations & unmeasurable parameters. [PDF]
Kobayashi K +6 more
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Full Newton-Step Infeasible Interior-Point Methods for Linear Complementarity Problems
In this talk, we present an infeasible Full-Newton-Step Interior-Point Method for Linear Complementarity Problems. The advantage of the method, in addition to starting from an infeasible starting point, is that it uses full Newton-steps, thus avoiding ...
Lesaja, Goran
core
PhysBridge: Response-supervised grid pretraining with physics-constrained local correction for transferable power-system intelligence. [PDF]
Liu D, Xu S, Jin Y, Yao H, Liu Q.
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Thermodynamically enabled and reaction attuned estimation of metabolic fluxes. [PDF]
Améstica-Toledo N +4 more
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Bridge Points Guided Neural Motion Planning in Complex Environments with Narrow Passages. [PDF]
Dian S, Liu J, Xiang G, You X.
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