In a maximization problem, the GRG algorithm's search for a feasible direction of improvement equates to ____ in the simplex algorithm for LP problems.
A) an adjacent corner point
B) a zero reduced cost
C) a positive shadow price
D) a positive reduced cost

Question

Quizplus · Accepted Answer

In the context of the simplex algorithm for linear programming (LP) problems, finding a feasible direction of improvement in a maximization problem using the Generalized Reduced Gradient (GRG) algorithm is analogous to identifying a positive reduced cost. A positive reduced cost indicates that moving in the direction of that variable can potentially increase the objective function value, which aligns with the goal of finding a direction of improvement in the GRG algorithm.

In a Maximization Problem, the GRG Algorithm's Search for a Feasible