Step 1 :Suppose we seek to optimize the objective function \(f(x, y)\) subject to a constraint of the form \(g(x, y)=0\)
Step 2 :The resulting Lagrange Function is given by \(F(x, y, \lambda)=9 x-\frac{64}{y}+\lambda g(x, y)\)
Step 3 :We proceed to find four critical points: \((2,8)\), \((-2,8)\), \((2,-8)\), and \((-2,-8)\)
Step 4 :To find the maximum value of the function \(f(x, y)\), we need to substitute the critical points into the function and find the maximum value among them
Step 5 :The critical points are given as \((2,8)\), \((-2,8)\), \((2,-8)\), and \((-2,-8)\)
Step 6 :We need to substitute these points into the function \(f(x, y) = 9x - \frac{64}{y}\) and find the maximum value
Step 7 :The values of the function at the critical points are \(10.0\), \(-26.0\), \(26.0\), and \(-10.0\)
Step 8 :The maximum value of the function \(f(x, y)\) at its relative maximum is \(\boxed{26}\)