Python Recursion #Day 23

The term Recursion can be defined as the process of defining something in terms of itself. In simple words, it is a process in which a function calls itself directly or indirectly. 

Advantages of using recursion

• A complicated function can be split down into smaller sub-problems utilizing recursion.
• Sequence creation is simpler through recursion than utilizing any nested iteration.
• Recursive functions render the code look simple and effective.

Disadvantages of using recursion

• A lot of memory and time is taken through recursive calls which makes it expensive for use.
• Recursive functions are challenging to debug.
• The reasoning behind recursion can sometimes be tough to think through.

Syntax:

def func(): <--
              |
              | (recursive call)
              |
    func() ----

Example 1: A Fibonacci sequence is the integer sequence of 0, 1, 1, 2, 3, 5, 8…. 




Program to print the fibonacci series upto n_terms

 

# Recursive function

def recursive_fibonacci(n):

  if n <= 1:

      return n

  else:

      return(recursive_fibonacci(n-1) + recursive_fibonacci(n-2))

 

n_terms = 10

 

# check if the number of terms is valid

if n_terms <= 0:

  print("Invalid input ! Please input a positive value")

else:

  print("Fibonacci series:")




Output

Fibonacci series:
0
1
1
2
3
5
8
13
21
34

Example 2: The factorial of 6 is denoted as 6! = 1*2*3*4*5*6 = 720. 
Python3
# Program to print factorial of a number
# recursively.
 
# Recursive function
def recursive_factorial(n):
  if n == 1:
      return n
  else:
      return n * recursive_factorial(n-1)
 
# user input
num = 6
 
# check if the input is valid or not
if num < 0:
  print("Invalid input ! Please enter a positive number.")
elif num == 0:
  print("Factorial of number 0 is 1")
else:
  print("Factorial of number", num, "=", recursive_factorial(num))
Output
Factorial of number 6 = 720
What is Tail-Recursion?


A unique type of recursion where the last procedure of a function is a recursive call. The recursion may be automated away by performing the request in the current stack frame and returning the output instead of generating a new stack frame. The tail-recursion may be optimized by the compiler which makes it better than non-tail recursive functions. 
Is it possible to optimize a program by making use of a tail-recursive function instead of non-tail recursive function? 
Considering the function given below in order to calculate the factorial of n, we can observe that the function looks like a tail-recursive at first but it is a non-tail-recursive function. If we observe closely, we can see that the value returned by Recur_facto(n-1) is used in Recur_facto(n), so the call to Recur_facto(n-1) is not the last thing done by Recur_facto(n). 

Program to calculate factorial of a number

# using a Non-Tail-Recursive function.

 

# non-tail recursive function

def Recur_facto(n):

   

    if (n == 0):

        return 1

   

    return n * Recur_facto(n-1)

   

# print the result

print(Recur_facto(6))




Output

720

We can write the given function Recur_facto as a tail-recursive function. The idea is to use one more argument and in the second argument, we accommodate the value of the factorial. When n reaches 0, return the final value of the factorial of the desired number. 

• Python3

# Program to calculate factorial of a number # using a Tail-Recursive function.   # A tail recursive function def Recur_facto(n, a = 1):         if (n == 0):         return a         return Recur_facto(n - 1, n * a)     # print the result print(Recur_facto(6))