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UID:9534-8511@www.uni-passau.de
CLASS: PUBLIC
SUMMARY:Solving Mixed-Integer Semidefinite Programs
DESCRIPTION:Semidefinite programs try to optimize a positive semidefinite m
atrix subject to linear inequality constraints. This class can be extended
to mixed-integer semidefinite programs in which some of the variables are
required to be integer. This forms an interesting class of optimization p
roblems with many applications.\n\nThis talk will introduce new methods as
well as techniques that can be generalized from the linear to the semidef
inite world. This includes presolving methods, e.g., fixing of variables,
bound strengthening etc. Moreover, handling of symmetries and so-called co
nflict analysis can be adapted and have a positive impact on the performan
ce. The impact of the methods will be illustrated computationally, using S
CIP-SDP, an open-source solver for mixed-integer semidefinite programs bas
ed on SCIP.\n\n\n\nProf. Dr. Marc Pfetsch
DTSTAMP:20230607T063210Z
DTSTART:20230613T141500Z
DTEND:20230613T151500Z
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