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subject:"Theorie"
type_genre:"Non-commercial literature"
~accessRights:"free"
~isPartOf:"CORE discussion papers : DP"
~person:"Grapiglia, Geovani Nunes"
~type_genre:"Bericht"
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Theorie
Hölder condition
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Mathematical programming
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Mathematische Optimierung
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Theory
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unconstrained minimization
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high-order methods
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tensor methods
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worst-case global complexity bounds
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Grapiglia, Geovani Nunes
Pestieau, Pierre
50
Nesterov, Jurij Evgenʹevič
33
Ponthiere, Gregory
17
Picard, Pierre M.
15
Wolsey, Laurence A.
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Belleflamme, Paul
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Bréchet, Thierry
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Cremer, Helmuth
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Gabszewicz, Jean Jaskold
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Bauwens, Luc
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Leroux, Marie-Louise
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Thisse, Jacques-François
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Vannetelbosch, Vincent J.
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De Donder, Philippe
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Drèze, Jacques H.
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Hindriks, Jean
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Rombouts, Jeroen V. K.
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Fleurbaey, Marc
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Glineur, François
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Moreno-Ternero, Juan D.
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Zanaj, Skerdilajda
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Aspremont, Claude d'
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Boucekkine, Raouf
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De la Croix, David
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Dufays, Arnaud
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Ginsburgh, Victor
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Klimaviciute, Justina
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Lambrecht, Stéphane
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Peitz, Martin
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Pochet, Yves
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Schokkaert, Erik
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5
Behrens, Kristian
4
Decancq, Koen
4
Devolder, Olivier
4
Dos Santos Ferreira, Rodolphe
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Eeckhoudt, Louis R.
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Hafner, Christian M.
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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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2
Tensor methods for finding approximate stationary points of convex functions
Grapiglia, Geovani Nunes
;
Nesterov, Jurij Evgenʹevič
-
2019
Persistent link: https://www.econbiz.de/10012215211
Saved in:
3
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
Saved in:
4
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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