Results 61 to 70 of about 1,574 (118)
Tensor methods for finding approximate stationary points of convex functions. [PDF]
Optim Methods Softw, 2022 Grapiglia GN, Nesterov Y.
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On the asymptotic behavior of the Douglas-Rachford and proximal-point algorithms for convex optimization. [PDF]
Optim Lett, 2021 Banjac G, Lygeros J.
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New duality results for evenly convex optimization problems. [PDF]
Optimization, 2021 Fajardo MD, Grad SM, Vidal J.
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Minimizing Uniformly Convex Functions by Cubic Regularization of Newton Method. [PDF]
J Optim Theory Appl, 2021 Doikov N, Nesterov Y.
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Local convergence of tensor methods. [PDF]
Math Program, 2022 Doikov N, Nesterov Y.
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Implementable tensor methods in unconstrained convex optimization. [PDF]
Math Program, 2021 Nesterov Y.
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Effectively managing diagnostic tests to monitor the COVID-19 outbreak in Italy. [PDF]
Oper Res Health Care, 2021 Lampariello L, Sagratella S.
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Employing different loss functions for the classification of images via supervised learning
Open Mathematics, 2014 Boţ Radu, Heinrich André, Wanka Gert
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Alternating minimization method for total variation based wavelet shrinkage model
, 2010 T. Zeng, Xiaolong Li, M. Ng
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