The NEOS Server offers MOSEK for the solution of linear programming (LP) problems,
mixed-integer linear programming (MILP) problems, nonlinearly constrained
optimization problems, and second-order conic optimization (SOCP) problems.
LP and MILP problems can be submitted to MOSEK on the NEOS server in MPS, LP,
AMPL, or GAMS format. Nonlinearly-constrained problems can be submitted in
GAMS or AMPL format. SOCPs can be submitted in GAMS or MPS format.
MOSEK is designed to solve large-scale optimization problems; the technical
strength of MOSEK is its state-of-the-art interior-point optimizer and its
branch-and-bound-and-cut algorithm for MILPs. MOSEK provides primal and dual
simplex optimizers for LP problems.
For more information, visit the MOSEK website.
MOSEK was developed by
C/O Symbion Science Park
Fruebjergvej 3, Box 16
2100 Copenhagen 0, Denmark