What is the time complexity of a recursive program whose recurrence relation is as given below? Assume that the input size n of the problem is a power of 4, that is, n=4. n T[ #] + c_n², n> 4 a, otherwise T(n)= 3.T =

Please help me solve this

4. Given the following recursive definitionseq(1) = seq(2) = 1seq(n) = 2 ∗ seq(n − 1) + 3 ∗ seq(n − 2)implement the corresponding program and use it to calculate seq(5).How many invocations are made to the function seq when calculating seq(5)?

Consider the following recursive function to compute factorialint fact (int n) {if (n <= 1)return 1;elsereturn n * fact(n-1);}int main() {cout << fact(5) << endl;return 0;} Show the stack of activation records each time the function fact is called (either directly or recursively). Each activation record needs to be identified by the name of the function and the parameter value, but there is no need to elaborate the specific content of each activation record.

1. Consider the following recursive function: def foo(n):   if (n == 0):      return 0   return n + foo(n - 1)a. What is foo(5)   b. What is foo(10)   c.  Suppose that n + foo(n - 1) is changed to n * foo(n - 1). What is foo(5) now?   d. What happens if foo(-1) is called?

Question 4

Can someone explain how the output of this recursive function is 18? Recursion is confusing to me. def R(n):    if n>=5:        return 10    return R(n+1) + 2 print(R(1))

Can someone explain how this recursive function output is 12? Recursion is hard for me def R(n):    if n>=5:        return 2    return R(n+1) + 2 print(R(0))