The correct answer is E. None of the above.
MIDAS-2, OPHELIE II, and PDQ/LP are all linear programming software packages, but they are not excellent for solving large-scale problems. In fact, they are all relatively small-scale packages that are not well-suited for solving large-scale problems.
There are a number of other linear programming software packages that are better suited for solving large-scale problems. Some of these include:
- CPLEX: CPLEX is a commercial linear programming solver that is available from IBM. It is one of the most widely used linear programming solvers in the world.
- Gurobi: Gurobi is a commercial linear programming solver that is available from Gurobi Optimization. It is another widely used linear programming solver.
- Xpress: Xpress is a commercial linear programming solver that is available from FICO. It is a powerful linear programming solver that is often used for large-scale problems.
- SCIP: SCIP is an open-source linear programming solver that is available from COIN-OR. It is a powerful linear programming solver that is often used for large-scale problems.
- GLPK: GLPK is a free and open-source linear programming solver that is available from the GNU Linear Programming Kit. It is a relatively small-scale linear programming solver that is not well-suited for solving large-scale problems.
- lpsolve: lpsolve is a free and open-source linear programming solver that is available from the lpsolve project. It is a relatively small-scale linear programming solver that is not well-suited for solving large-scale problems.
These are just a few of the many linear programming software packages that are available. The best linear programming software package for a particular problem will depend on the specific characteristics of the problem.