What is the time complexity of this function / algorithm?var factorial = function(n) { if(n == 0) { return 1 } else { return n * factorial(n - 1); }}O(n!)O(2^n)O(1)O(n)O(nlog(n))O(n^2)O(log(n))

What is the time complexity of this function / algorithm?void f(int n){ printf("n = %d\n", n);}O(n!)O(2^n)O(1)O(n)O(nlog(n))O(n^2)O(log(n))

The time complexity of an algorithm is given by O(n!) then complexity will: Options constant polynomial exponential Factorial

What is the time complexity of this function / algorithm?foreach($numbers as $number){ echo $number;}O(n!)O(2^n)O(1)O(n)O(nlog(n))O(n^2)O(log(n))

Question #35What is the time complexity of this function / algorithm?void f(unsigned int n){ int i; int j; for (i = 0; i < n; i++) { for (j = 1; j < n; j = j * 2) { printf("[%d] [%d]\n", i, j); } }}O(n!)O(2^n)O(1)O(n)O(nlog(n))O(n^2)O(log(n))Question #36What is the time complexity of searching for an element in an unsorted array of size n?O(n!)O(2^n)O(1)O(n)O(nlog(n))O(n^2)O(log(n))Question #37What is the best case time complexity of insertion in a hash table with the implementation you used during the previous Hash Table C project (chaining)?O(n!)O(2^n)O(1)O(n)O(nlog(n))O(n^2)O(log(n))Question #38What is the best case time complexity searching for an element in a hash table with the implementation you used during the previous Hash Table C project (chaining)?O(n!)O(2^n)O(1)O(n)O(nlog(n))O(n^2)O(log(n))Question #39What is the time complexity of the “push” operation onto a stack?O(n!)O(2^n)O(1)O(n)O(nlog(n))O(n^2)O(log(n))Question #40What is the time complexity of this function / algorithm?def func(n): a=5 b=6 c=10 for i in range(n): for j in range(n): x = i * i y = j * j z = i * j for k in range(n): w = a*k + 45 v = b*b d = 33O(n!)O(2^n)O(1)O(n)O(nlog(n))O(n^2)O(log(n))Question #41What is the time complexity of removing at index n in an unsorted array?O(n!)O(2^n)O(1)O(n)O(nlog(n))O(n^2)O(log(n))Question #42What is the time complexity of inserting into an unsorted Python 3 list at index n?O(n!)O(2^n)O(1)O(n)O(nlog(n))O(n^2)O(log(n))

What is the time complexity of this function / algorithm?int Fibonacci(int number){ if (number <= 1) return number; return Fibonacci(number - 2) + Fibonacci(number - 1);}O(n)O(1)O(log(n))O(nlog(n))O(2^n)O(n!)O(n^2)