Find the time complexity of the following code: i am confused because addA calls addB and so does addB.
void addA (int n) {
if (n == 0) {
System.out.println("hi");
} else {
addA( n -
1);
addB( n -
1);
}
}
void addB(int n) {
if (n == 0) {
System.out.println("hello");
} else {
addA( n -
1);
addB(n -
1);
}
}
Here is the solution to above program.
the recurrence relation for addA function is
addA(n) = addA(n-1) + addB(n-1)
the recurrence relation for addB is
addB(n) = addA(n-1) + addB(n-1)
since both are same we can denote them with single recurrence relation
T(n) =2T(n-1)
T(n) = 2 ( 2(T(n-2))
T(n) = 23(T(n-3))
..
.
.
T(n) = 2nT(0))
T(0) = 1 since it is the base case
now since each time we are reducing the value of n by one hence there will be total n times addA(n) will be there total time complexity of program is O(2n)
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Question 1 (25 pts)
Find the running time complexity for the following code
fragments. Express your answers using either the Big-O or Big-Θ
notations, and the tightest bound possible. Justify your
answers.
for(int count O , i -0; i < n* n; i++) for(int i0 ; j <i; j++) count++
for(int count O , i -0; i