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Global Optimization Laboratory "Gerardo Poggiali"

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Month: April 2019

An efficient implementation of the FALKON algorithm for Large Scale kernel methods and an extension to the semi-supervised scenario

This thesis is devoted to the re-implementation  of a very large scale kernel ridge regression software tool and to its extension to the semi-supervised case Started: November 2018 Candidate: Enrico Civitelli Graduated: April 2019

Fabio Schoen April 11, 2019 Theses: discussed Read more

Optimization Methods and Models for replenishment with constraints

Managing inventories when the demand is uncertain is a challenging problem involving forecasting, modeling and optimization. This thesis is devoted to the extension of classical models, like the newsvendor, to multiple products, integer order quantities, logical constraints, assortment, and other

Fabio Schoen April 11, 2019 Theses: discussed Read more

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