The third option is correct.
Answer:
D. at the intersection of at least two constraints.
Explanation:
Linear programming is an optimization technique which is fine for the purpose of getting the best solution such as maximizing profit or certain o 4th era quantities. It is fine by modelling real life problems into mathematical models that have linear relationships or constraints such as in the form of objective functions. In linear programming, an objective function defines the formula for quantity optimization and the goal from this is to determine variable values that maximize or minimize the objective function depending on the problem robbery solved.
Answer:
see explaination
Explanation:
MaxArray.java
public class MaxArray{
public static void main(String[] args) {
int a[] = {1,2,5,4,3};
int max = max (a, 5);
System.out.println("Max value is "+max);
}
public static int max (int a[],int size){
if (size > 0) {
return Math.max(a[size-1], max(a, size-1));
} else {
return a[0];
}
}
}
Output:
MaxArray
