
To find the maximum value of $z = 50x + 15y$, we need to evaluate the objective function at the vertices of the feasible region. From the graph, the coordinates of the vertices are:
A(20, 0)
B(10, 50)
C(0, 60)
We calculate $z$ at each of these points: For point A(20, 0): \[ z = 50(20) + 15(0) = 1000 \] For point B(10, 50): \[ z = 50(10) + 15(50) = 500 + 750 = 1250 \] For point C(0, 60): \[ z = 50(0) + 15(60) = 900 \] The maximum value of $z$ occurs at point B(10, 50) with $z = 1250$.
To determine the maximum value of z = 50x + 15y, we need to evaluate the objective function at the vertices of the feasible region. The coordinates of the vertices are:
We calculate the value of z at each of these points:
At point A(20, 0):z = 50(20) + 15(0) = 1000
At point B(10, 50):z = 50(10) + 15(50) = 500 + 750 = 1250
At point C(0, 60):z = 50(0) + 15(60) = 900
The maximum value of z occurs at point B(10, 50) where z = 1250.
Given the Linear Programming Problem:
Maximize \( z = 11x + 7y \) subject to the constraints: \( x \leq 3 \), \( y \leq 2 \), \( x, y \geq 0 \).
Then the optimal solution of the problem is:
Kepler's second law (law of areas) of planetary motion leads to law of conservation of