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UID:pretalx-juliacon-2022-XQMLCH@pretalx.com
DTSTART:20220728T170000Z
DTEND:20220728T173000Z
DESCRIPTION:This work discusses some of the requirements for deploying non-
 convex nonlinear optimization methods to solve large-scale problems in pra
 ctice. AC Optimal Power Flow is proposed as a proxy-application for testin
 g the viability of nonlinear optimization frameworks for solving such prob
 lems. The current performance of several Julia frameworks for nonlinear op
 timization is evaluated using a standard benchmark library for AC Optimal 
 Power Flow.
DTSTAMP:20260513T003217Z
LOCATION:JuMP
SUMMARY:Benchmarking Nonlinear Optimization with AC Optimal Power Flow - Ca
 rleton Coffrin
URL:https://pretalx.com/juliacon-2022/talk/XQMLCH/
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