Presolving for Mixed-Integer Semidefinite Optimization

This page contains supplementary content for the following paper:

Presolving for Mixed-Integer Semidefinite Optimization
Frederic Matter and Marc E. Pfetsch
Optimization Online, 2021

• Online Supplement
• The code is implemented in SCIP-SDP 4.0.

The following instance data can be downloaded:

• Cardinality Least Squares (639 MB)
• Minimum k-Partitioning (588 KB)
• Random (275 MB)
• RIP (1.5 MB)
• Truss Topology (196 KB)

• All (916 MB)