BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Memento EPFL//
BEGIN:VEVENT
SUMMARY:Convex Optimization: From embedded real-time to large-scale distri
 buted
DTSTART:20120328T161500
DTSTAMP:20260408T092740Z
UID:8ee1d4e60e64390c0a13994f25bbd23cbdd9ca3b25ee9a8c4e873924
CATEGORIES:Conferences - Seminars
DESCRIPTION:Stephen P. Boyd\, Stanford University\nConvex optimization has
  emerged as useful tool for applications that include data analysis and mo
 del fitting\, resource allocation\, engineering design\, network design an
 d optimization\, finance\, and control and signal processing. After an ove
 rview\, the talk will focus on two extremes: real-time embedded convex opt
 imization\, and distributed convex optimization. Code generation can be us
 ed to generate extremely efficient and reliable solvers for small problems
 \, that can execute in milliseconds or microseconds\, and are ideal for em
 bedding in real-time systems.  At the other extreme\, we describe methods
  for large-scale distributed optimization\, which coordinate many solvers 
 to solve enormous problems.
LOCATION:IN J218
STATUS:CONFIRMED
END:VEVENT
END:VCALENDAR