LEADALGO : ALGORITHM DESIGN THROUGH LEARNING-AUGMENTED AND DATA -DRIVEN ONLINE ALGORITHMS

Ref.No: 65227700
Start date: 18.12.2020
End date: 17.12.2022
Approval date: 18.12.2020
Department: ELECTRICAL & COMPUTER ENGINEERING
Sector: COMPUTER SCIENCE
Financier: ΒΑΣΙΚΗ ΕΡΕΥΝΑ, EIDIKOS LOG/MOS EMP
Budget: 15.000,00 €
Public key: ΩΨ7Ζ46ΨΖΣ4-ΦΑΚ
Scientific Responsible: Assoc. Prof. DIMITRIOS FOTAKIS
Email: fotakis@cs.ntua.gr
Description: THE PROPOSED RESEARCH LIES IN THE GENERAL DIRECTION OF "BEYOND WORST-CASE ANALYSIS" IN THE THEORY OF ALGORITHMS AND AIMS TO INVESTIGATE HOW (AND TO WHICH THE EXTENT) THE DESIGN OF ONLINE ALGORITHMS CAN BENEFIT FROM THE RECENT ADVANCES IN COMPUTATIONAL L
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