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SUMMARY:Object Oriented Convex Optimization with CVXPY - Stephen Boyd and 
 Steven Diamond\, Stanford University
DTSTART:20180125T140000Z
DTEND:20180125T150000Z
UID:TALK97963@talks.cam.ac.uk
CONTACT:Alberto Padoan
DESCRIPTION:CVXPY is a widely used modeling framework in Python for convex
  optimization. CVXPY translates a problem description\, expressed in a str
 uctured but flexible domain-specific language\, into the standard form exp
 ected by a generic solver.  In this talk we describe the language\, and di
 scuss some features of CVXPY including automatic detection of separable pr
 oblems\, code generation\, and warm start capabilities.  We give examples 
 that illustrate its expressiveness\, and show how it can be used as a buil
 ding block for larger systems that include optimization as a subroutine.
LOCATION:Cambridge University Engineering Department\, Lecture Room number
  LR4
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