What is an alternate optimal solution in LP?
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An alternate optimal solution in linear programming (LP) is a different feasible solution that yields the same maximum or minimum objective value as the original optimal solution.
An alternate optimal solution in linear programming is when multiple distinct sets of decision variable values yield the same optimal objective function value, usually occurring when the objective function is parallel to a constraint. This situation offers flexibility in decision-making and can enhance resource utilization by providing different strategies to achieve the same outcome.
An alternate optimal solution in linear programming is a different feasible solution that provides the same optimal value for the objective function, typically occurring when the objective function is parallel to a constraint in the feasible region.
An alternate optimal solution in LP occurs when multiple feasible solutions yield the same optimal value for the objective function, typically when the objective function is parallel to a binding constraint in the feasible region.
Alternate optimal solutions occur when there are multiple solutions that yield the same optimal value for the objective function. This usually happens when the objective function is parallel to a constraint.