The MOSEK command line tool Version 7.0 (Revision 141)

11.44. SOLUTION ITEMS 267
MSK SIM SELECTION SE
The optimizer uses steepest-edge selection (or if it is not available an approximate steep-edge
selection).
MSK SIM SELECTION PARTIAL
The optimizer uses a partial selection approach. The approach is usually beneficial if the number
of variables is much larger than the number of constraints.
11.44 Solution items
MSK SOL ITEM XC
Solution for the constraints.
MSK SOL ITEM XX
Variable solution.
MSK SOL ITEM Y
Lagrange multipliers for equations.
MSK SOL ITEM SLC
Lagrange multipliers for lower bounds on the constraints.
MSK SOL ITEM SUC
Lagrange multipliers for upper bounds on the constraints.
MSK SOL ITEM SLX
Lagrange multipliers for lower bounds on the variables.
MSK SOL ITEM SUX
Lagrange multipliers for upper bounds on the variables.
MSK SOL ITEM SNX
Lagrange multipliers corresponding to the conic constraints on the variables.
11.45 Solution status keys
MSK SOL STA UNKNOWN
Status of the solution is unknown.
MSK SOL STA OPTIMAL
The solution is optimal.