If the system of constraints has no point which satisfies all the constraints and non-negativity restrictions then the solution of a LPP is an
The optimum value of the objective function is attained at the points
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The maximum value of Z = 4x + 3y subjected to the constraints 3x + 2y ≤ 160, 5x + 2y ≤ 200, x + 2y ≤ 80 ;
x, y ≥ 0 attains at
A feasible solution of a LPP if it also optimizes the objective function is called
Shape of the feasible region formed by the following constraints is x + y ≤ 10, x + y ≥ 6, x ≥ 0, y ≥ 0
Find the maximum value of z = 3x + 4y subject to constraints x + y ≤ 4 , x ≥ 0 and y ≥ 0
Infeasibility means that the number of solutions to the linear programming models that satisfies all constraints is
204 videos|290 docs|139 tests
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204 videos|290 docs|139 tests
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