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Tensor methods for minimizing convex functions with Hölder continuous higher-order derivatives
Grapiglia, Geovani Nunes; Nesterov, Jurij Evgenʹevič - 2019
Persistent link: https://www.econbiz.de/10012215207
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On inexact solution of auxiliary problems in tensor methods for convex optimization
Grapiglia, Geovani Nunes; Nesterov, Jurij Evgenʹevič - 2019
Persistent link: https://www.econbiz.de/10012215218
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Globally convergent second-order schemes for minimizing twice-differentiable functions
Nesterov, Jurij Evgenʹevič; Grapiglia, Geovani Nunes - 2016
Persistent link: https://www.econbiz.de/10011893984
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Accelerated regularized Newton methods for minimizing composite convex functions
Grapiglia, Geovani N.; Nesterov, Jurij Evgenʹevič - 2018
Persistent link: https://www.econbiz.de/10011992656
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Local convergence of tensor methods
Doikov, Nikita; Nesterov, Jurij Evgenʹevič - 2019
Persistent link: https://www.econbiz.de/10012215154
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Inexact basic tensor methods
Nesterov, Jurij Evgenʹevič - 2019
Persistent link: https://www.econbiz.de/10012215160
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Implementable tensor methods in unconstrained convex optimization
Nesterov, Jurij Evgenʹevič - 2018
Persistent link: https://www.econbiz.de/10011992624
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Optimization methods for fully composite problems
Doikov, Nikita; Nesterov, Jurij Evgenʹevič - 2021
Persistent link: https://www.econbiz.de/10012512893
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Derivative-free separable quadratic modeling and cubic regularization for unconstrained optimization
Custódio, A. L.; Garmanjani, R.; Raydan, Marcos - In: 4OR : quarterly journal of the Belgian, French and … 22 (2024) 1, pp. 121-144
Persistent link: https://www.econbiz.de/10014531261
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Superfast second-order methods for Unconstrained Convex Optimization
Nesterov, Jurij Evgenʹevič - 2020
Persistent link: https://www.econbiz.de/10012271197