In Exercises 25–32, find the optimal value for the linear programming problem. Maximize the objective function 100 x + 150 y subject to the constraints { x + 3 y ≤ 120 35 + 10 y ≤ 780 x ≤ 20 x ≥ 0 , y ≥ 0
In Exercises 25–32, find the optimal value for the linear programming problem. Maximize the objective function 100 x + 150 y subject to the constraints { x + 3 y ≤ 120 35 + 10 y ≤ 780 x ≤ 20 x ≥ 0 , y ≥ 0
Solution Summary: The author calculates the maximum and minimum value of the provided objective function, 100x+150y subject to the constraints.
4.7 Use forward and backward difference approximations of O(h)
and a centered difference approximation of O(h²) to estimate the
first derivative of the function examined in Prob. 4.5. Evaluate the
derivative at x = 2 using a step size of h = 0.2. Compare your results
with the true value of the derivative. Interpret your results on the
basis of the remainder term of the Taylor series expansion.
• Plane II is spanned by the vectors:
P12
P2 = 1
• Subspace W is spanned by the vectors:
W₁ =
-- () ·
2
1
W2 =
0
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