Which algorithm, developed by George Dantzig, is effective at investigating extreme points in an intelligent way to find the optimal solution to even very large linear programs?
A) The ellipsoidal algorithm
B) The complex algorithm
C) The trial-and-error algorithm
D) The simplex algorithm
Correct Answer:
Verified
Q6: The nonnegativity constraints create a feasible region
Q7: In a linear programming model, the _
Q8: Nonnegativity constraints ensure that
A) the problem modeling
Q11: A mathematical function in which each variable
Q12: The intersections of half spaces represent_.
A) objective
Q12: In problem formulation, the
A)objective is expressed in
Q13: A(n) _ solution satisfies all the constraint
Q15: The _ assumption necessary for a linear
Q17: A(n) _ refers to a set of
Q20: A controllable input for a linear programming
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