Answer: True
Explanation:
Subset sum problem and Knapsack problem can be solved using dynamic programming.
In case of Knapsack problem there is a set of weights associative with objects and a set of profits associated with each object and a total capacity of knapsack let say C. With the help of dynamic programming we try to include object's weight such that total profit is maximized without fragmenting any weight of objects and without exceeding the capacity of knapsack, it is also called as 0/1 knapsack problem.
Similar to knapsack problem, in subset sum problem there is set of items and a set of weights associated with the items and a capacity let say C, task is to choose the subset of items such that total sum of weights associated with items of subset is maximized without exceeding the total capacity.
On the basis of above statements we can say that subset sum problem is generalization of knapsack problem.
Simple and easy user interface design can help the users understand what they can do on the website, without confusion when they are loading on the website.
Best practice on the users experiences can help the users to visit the website easily and get what they want as fast as possible. It is the way to improve a website understandability.
Answer:
Programmable.
Explanation:
Programmable locks can be changed after they are put in service, allowing for combination or key changes without a locksmith and even allowing the owner to change to another access method (key or combination) to upgrade security. This type of lock are operated using a programmable plastic card and are typically smart.
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
Pie graph but idk if thats the answer
