A SAS developer uses PROC OPTMODEL to solve a logistics optimization problem. What type of optimization does PROC OPTMODEL natively support?
Select an answer to reveal the explanation.
Short Explanation
Here's the deal — PROC OPTMODEL is SAS's algebraic modeling language and solver framework, so you can model linear, mixed-integer linear, nonlinear, and constraint programming problems. It isn't limited to continuous linear models, quadratic models, or Monte Carlo simulation optimization.
Full Explanation
PROC OPTMODEL is SAS's algebraic modeling language and solver framework supporting linear programming, mixed-integer linear programming, nonlinear programming, and constraint programming. The option limiting it to linear programming with continuous variables is wrong because it supports integer and nonlinear formulations. The option limiting it to convex quadratic programming is wrong because it is not limited to quadratic problems. The option describing Monte Carlo simulation optimization is wrong because that is not PROC OPTMODEL's primary function.