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DTSTART:20211031T030000
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UID:calendar.24076.field_data.0@www.u-gov-ricerca.uniroma1.it
DTSTAMP:20260412T143023Z
CREATED:20220316T113804Z
DESCRIPTION:Speaker: Andrea CristofariData dell'evento: Lunedì\, 21 March\,
  2022 - 15:45Luogo: Il seminario si svolgerà in modalità mista: aula B203 
 in presenza e in modalità telematica su Google Meet\, all'indirizzo meet.g
 oogle.com/dsm-xvej-scxContatto: marco.sciandrone@uniroma1.it DescrizioneAn
 drea Cristofari è risultato vincitore della procedura selettiva per n.1 po
 sto di Ricercatore a tempo determinato tipologia A\, SC  01/A6 - SSD MAT/0
 9 - Dipartimento di ingegneria informatica automatica e gestionale Antonio
  Ruberti\, Bando n. 2/2021 R TDA\, Prot. n. 2734/2021.In ottemperanza ai r
 equisiti previsti dal bando\, lunedì 21 marzo alle ore 15:45\, Andrea Cris
 tofari illustrerà le sue attività di ricerca svolte e in corso di svolgime
 nto in un seminario pubblico.Title: Methods for continuous optimization: a
 ctive-set techniques\, decomposition schemes and derivative-free approache
 sAbstract: In this talk\, I will present the main results of my research a
 ctivity in the field of continuous optimization. In particular\, active-se
 t techniques are first described for several classes of constrained proble
 ms\, combined with second-order and first-order search directions. Then\, 
 a decomposition scheme for problems with one linear equality constraint is
  presented and a derivative-free approach is described for structured opti
 mization problems. The application of the above algorithms for machine lea
 rning and data science problems is discussed.Short bio: Andrea Cristofari 
 received the M.Sc. degree in Management Engineering (summa cum laude) and 
 the Ph.D. degree in Automatic Control and Operations Research (with honors
 ) from Sapienza University of Rome in 2013 and 2017\, respectively. From 2
 016 to 2017\, he was Postdoctoral Fellow at Sapienza University of Rome (D
 epartment of Computer\, Control and Management Engineering 'Antonio Rubert
 i'). From 2017 to 2019\, he was Postdoctoral Fellow at University of Padua
  (Department of Mathematics 'Tullio Levi-Civita')\, where he is a fixed-te
 rm Researcher from 2019. His interests include algorithms for constrained 
 and unconstrained problems of continuous optimization\, especially active-
 set methods\, decomposition methods and derivative-free methods\, with a f
 ocus on large-scale problems and application in machine learning and data 
 science. 
DTSTART;TZID=Europe/Paris:20220321T154500
DTEND;TZID=Europe/Paris:20220321T154500
LAST-MODIFIED:20220316T114950Z
LOCATION:B203
SUMMARY:Methods for continuous optimization: active-set techniques\, decomp
 osition schemes and derivative-free approaches - Andrea Cristofari
URL;TYPE=URI:http://www.u-gov-ricerca.uniroma1.it/node/24076
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