Search Results - subject:"Bundle methods"

Application of the level method for computing locational convex hull prices

Stevens, Nicolas; Papavasiliou, Anthony - 2022

Persistent link: https://www.econbiz.de/10012875964

The descent-ascent algorithm for DC programming

D’Alessandro, Pietro; Gaudioso, Manlio; Giallombardo, … - In: INFORMS journal on computing : JOC ; charting new … 36 (2024) 2, pp. 657-671

Persistent link: https://www.econbiz.de/10014532317

Clusterwise support vector linear regression

Joki, Kaisa; Bagirov, Adil; Karmitsa, Napsu; Mäkelä, … - In: European journal of operational research : EJOR 287 (2020) 1, pp. 19-35

Persistent link: https://www.econbiz.de/10012293707

Uncontrolled inexact information within bundle methods

Malick, Jérôme; Oliveira, Welington de; Zaourar, Sofia - In: EURO journal on computational optimization 5 (2017) 1/2, pp. 5-29

Persistent link: https://www.econbiz.de/10011905854

Target radius methods for nonsmooth convex optimization

Oliveira, Welington de - In: Operations research letters 45 (2017) 6, pp. 659-664

Persistent link: https://www.econbiz.de/10011783088

Probabilistic optimization via approximate p-efficient points and bundle methods

Ackooij, Wim van; Oliveira, Welington de; Sagastizábal, C. - In: Computers & operations research : and their … 77 (2017), pp. 177-193

Persistent link: https://www.econbiz.de/10011630935

New diagonal bundle method for clustering problems in large data sets

Karmitsa, Napsu; Bagirov, Adil M.; Taheri, Sona - In: European journal of operational research : EJOR 263 (2017) 2, pp. 367-379

Persistent link: https://www.econbiz.de/10011793916

Regularized decomposition of large scale block-structured robust optimization problems

Ackooij, Wim van; Lebbe, Nicolas; Malick, Jérôme - In: Computational Management Science : CMS 14 (2017) 3, pp. 393-421

Persistent link: https://www.econbiz.de/10011710861

Applying oracles of on-demand accuracy in two-stage stochastic programming – A computational study

Wolf, Christian; Fábián, Csaba I.; Koberstein, Achim; … - In: European Journal of Operational Research 239 (2014) 2, pp. 437-448

Traditionally, two variants of the L-shaped method based on Benders’ decomposition principle are used to solve two-stage stochastic programming problems: the aggregate and the disaggregate version. In this study we report our experiments with a special convex programming method applied to the...

Persistent link: https://www.econbiz.de/10011097832

Applying oracles in of on-demand accuracy in two-stage stochastic programming : a computational study

Wolf, Christian; Fábián, Csaba I.; Koberstein, Achim; … - In: European journal of operational research : EJOR 239 (2014) 2, pp. 437-448

Persistent link: https://www.econbiz.de/10010407851