BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Date iCal//NONSGML kigkonsult.se iCalcreator 2.20.2//
METHOD:PUBLISH
X-WR-CALNAME;VALUE=TEXT:Eventi DIAG
BEGIN:VTIMEZONE
TZID:Europe/Paris
BEGIN:STANDARD
DTSTART:20251026T030000
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
RDATE:20261025T030000
TZNAME:CET
END:STANDARD
BEGIN:DAYLIGHT
DTSTART:20260329T020000
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
END:DAYLIGHT
END:VTIMEZONE
BEGIN:VEVENT
UID:calendar.30780.field_data.0@www.diag.uniroma1.it
DTSTAMP:20260502T094229Z
CREATED:20260428T201739Z
DESCRIPTION:We are pleased to announce the 2026 ABRO Course on Advances in 
 Operations Research\, held this May at DIAG Sapienza in Rome. This year’s 
 program features three specialized modules led by international experts\, 
 focusing on cooperative games\, numerical optimization\, and mixed-integer
  nonlinear programming.________________________________General Information
 Dates: May 2026.Location: Room B203 DIAG Sapienza\, Via Ariosto 25\, Rome.
 Format: All lectures will be held in person.Credits: Each module provides 
 3 ECTS (10 hours total per module).________________________________Module 
 1 | Cooperative Games: Basic Concepts and Case StudiesInstructor: Prof. Ma
 rcello Sanguineti (University of Genova).Dates: May 4 – May 6\, 2026.Focus
 : An exploration of strategic interactions among agents. Topics include re
 presentation\, stability\, and fairness\, with a specific look at the inte
 rplay between Machine Learning and Cooperative Games.Applications: Case st
 udies covering movement analysis\, public transportation networks\, and ne
 twork congestion (Braess’ paradox). SessionDateTimeTopicLecture 104/05/202
 614:00 - 17:00A brief introduction to game theory. The role of cooperation
 . Representation of games.   Lecture 205/05/202611:00 - 13:00Stability and
  fairness. Cooperative games on graphs. Network centrality.   Lecture 305/
 05/202614:00 - 16:00Case studies: movement analysis\, nonverbal communicat
 ion\, and public transportation networks.   Lecture 406/05/202610:00 - 13:
 00Case studies: network congestion and Braess’ paradox.   ________________
 ________________Module 2 | Proximal Methods in Numerical OptimizationInstr
 uctor: Dr. Alberto De Marchi (University of the Bundeswehr Munich).Dates: 
 May 4 – May 7\, 2026.Focus: An introduction to proximal methods\, a family
  of algorithms essential for modern large-scale optimization. The course c
 overs proximal-gradient methods and convergence analysis in nonconvex sett
 ings.Applications: Challenges in data science\, image processing\, machine
  learning\, and robotics. SessionDateTimeTopicLecture 104/05/202611:00 - 1
 3:00Part I: Motivation and Background. Proximal operator and applications 
 in data science\, robotics\, and finance.   Lecture 205/05/202609:00 - 11:
 00Part II: Proximal Point Methods. Minimization problems involving prox-fr
 iendly terms.   Lecture 306/05/202614:00 - 16:00Proximal Gradient Methods.
  Structured problems with differentiable and prox-friendly terms.   Lectur
 e 407/05/202610:00 - 13:00Nonsmooth Problems with Constraints. Penalty and
  barrier methods.   ________________________________Module 3 | Mixed Integ
 er Non Linear Optimization: Methods and ApplicationsInstructor: Dr. Claudi
 a D’Ambrosio (CNRS and École Polytechnique).Dates: May 20 – May 22\, 2026.
 Focus: A deep dive into Mixed Integer Non Linear Optimization (MINLO)\, on
 e of the most general classes of optimization problems. Lectures will cove
 r fundamentals and methods for both convex and nonconvex MINLO.Application
 s: Practical examples from energy systems\, finance\, and air traffic mana
 gement. SessionDateTimeTopicLecture 120/05/202614:00 - 17:00Refresher on m
 athematical optimization\, linear programming\, and MILP\; introduction to
  MINLO.   Lecture 221/05/2026*10:00 - 13:00Convex MINLO and real-world app
 lications.   Lecture 322/05/202609:30 - 13:30Nonconvex MINLO: generic and 
 tailored methods and real-world applications.   __________________________
 ______[!NOTE] For more details or inquiries regarding specific modules\, p
 lease contact the Veronica Piccialli Veronica.piccialli@uniroma1.it 
DTSTART;TZID=Europe/Paris:20260503T100000
DTEND;TZID=Europe/Paris:20260522T140000
LAST-MODIFIED:20260428T205629Z
LOCATION:B203
SUMMARY:2026 ABRO Course on Advances in Operations Research -
URL;TYPE=URI:https://www.diag.uniroma1.it/node/30780
END:VEVENT
END:VCALENDAR