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Spectral and Optimization Techniques for Robust Recovery, Combinatorial Constructions, and Distributed Algorithms

Project description

Making sense of complex data and relationships

Models are integral to advancing our understanding of the world around us. Once we have developed them, we can change parameters to test hypotheses and evaluate potential outcomes. Model construction, though, is partially based on observations from which we extract certain 'rules' or behaviours, mathematical descriptions of relationships that form the algorithms of the models themselves. Recovering the 'structure' of data can be a very complicated task. The EU-funded SO-ReCoDi project will develop robust recovery algorithms applicable to several challenging problems through a unification of multiple advanced techniques.

Host institution

UNIVERSITA COMMERCIALE LUIGI BOCCONI
Net EU contribution
€ 1 971 805,00
Address
Via Sarfatti 25
20136 Milano
Italy

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Region
Nord-Ovest Lombardia Milano
Activity type
Higher or Secondary Education Establishments
Other funding
€ 0,00

Beneficiaries (1)

UNIVERSITA COMMERCIALE LUIGI BOCCONI
Italy
Net EU contribution
€ 1 971 805,00
Address
Via Sarfatti 25
20136 Milano

See on map

Region
Nord-Ovest Lombardia Milano
Activity type
Higher or Secondary Education Establishments
Other funding
€ 0,00