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UID:pretalx-juliacon-2022-STM8PM@pretalx.com
DTSTART:20220727T124000Z
DTEND:20220727T125000Z
DESCRIPTION:Industry scale optimization problems are often large and sparse
 \, and problem construction time can rival solution time. The default cont
 ainers and macros in JuMP present some challenges for this class of proble
 ms\, in particular some performance gotchas.\n\nWe present SparseVariables
 .jl for simple sparse modelling\, and demonstrate performance and concisen
 ess with a supply chain optimization example\, benchmarking both problem c
 onstruction time and LOC for multiple modelling approaches.
DTSTAMP:20260514T004801Z
LOCATION:JuMP
SUMMARY:SparseVariables - Efficient sparse modelling with JuMP - Lars Helle
 mo
URL:https://pretalx.com/juliacon-2022/talk/STM8PM/
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