BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//pretalx//pretalx.com//juliacon-2026//talk//78GRUZ
BEGIN:VTIMEZONE
TZID:CET
BEGIN:STANDARD
DTSTART:20001029T040000
RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10
TZNAME:CET
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
END:STANDARD
BEGIN:DAYLIGHT
DTSTART:20000326T030000
RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3
TZNAME:CEST
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
END:DAYLIGHT
END:VTIMEZONE
BEGIN:VEVENT
UID:pretalx-juliacon-2026-78GRUZ@pretalx.com
DTSTART;TZID=CET:20260813T143000
DTEND;TZID=CET:20260813T144500
DESCRIPTION:This talk introduces `AlgorithmAnalysis.jl`\, a Julia package t
 hat automates the worst-case analysis of black-box algorithms. Analyzing t
 he performance of an algorithm by hand is both tedious and error prone. Th
 is package enables users to express algorithms in a natural way using a hi
 gh-level domain-specific language. This symbolic description is then trans
 formed behind the scenes into a semidefinite program that is solved numeri
 cally to construct tight numerical bounds on the worst-case performance. T
 he package implements the performance estimation problem (PEP) and control
  theoretic frameworks\, both of which have been used to analyze a wide var
 iety of first-order methods in optimization.
DTSTAMP:20260502T104022Z
LOCATION:Room 1
SUMMARY:Automated Algorithm Analysis in Julia with AlgorithmAnalysis.jl - B
 ryan Van Scoy\, Sam Skinner
URL:https://pretalx.com/juliacon-2026/talk/78GRUZ/
END:VEVENT
END:VCALENDAR