Solution analysis routines give further information
about a solution. As the solutions are computed with
finite-precision arithmetic, there may be some numerical residuals;
the quality routines give information about
what these numerical residuals are. The sensitivity analysis routines
give information about how the solution would change
if some aspect of the problem is changed;
these routines require a simplex basis, so they may be used only
after a simplex optimization of an LP.
The IIS routines isolate the infeasibilities in a problem
to a smaller subproblem; these routines require a primal simplex basis.