Time Complexity Analysis | Tower Of Hanoi (Recursion) Last Updated : 15 Feb, 2023 Comments Improve Suggest changes Like Article Like Report Tower of Hanoi is a mathematical puzzle where we have three rods and n disks. The objective of the puzzle is to move the entire stack to another rod, obeying the following simple rules: 1) Only one disk can be moved at a time. 2) Each move consists of taking the upper disk from one of the stacks and placing it on top of another stack i.e. a disk can only be moved if it is the uppermost disk on a stack. 3) No disk may be placed on top of a smaller disk. Algorithm • Move the top n - 1 disks from Source to Auxiliary tower,• Move the nth disk from Source to Destination tower,• Move the n - 1 disks from Auxiliary tower to Destination tower.• Transferring the top n - 1 disks from Source to auxiliary tower can again be thought of as a fresh problem and can be solved in the same manner. Once we solve Towers of Hanoi with three disks, we can solve it with any number of disks with the above algorithm. Pseudo Code TOH(n, x, y, z) { if (n >= 1) { // put (n-1) disk to z by using y TOH((n-1), x, z, y) // move larger disk to right place move:x-->y // put (n-1) disk to right place TOH((n-1), z, y, x) } } Analysis of Recursion Recursive Equation : T(n) = 2T(n-1) + 1 -------equation-1 Solving it by Backsubstitution : T(n-1) = 2T(n-2) + 1 -----------equation-2 T(n-2) = 2T(n-3) + 1 -----------equation-3 Put the value of T(n-2) in the equation--2 with help of equation-3 T(n-1)= 2( 2T(n-3) + 1 ) + 1 ------equation-4 Put the value of T(n-1) in equation-1 with help of equation-4 T(n)= 2( 2( 2T(n-3) + 1 ) + 1 ) + 1 T(n) = 2^3 T(n-3) + 2^2 + 2^1 + 1 After Generalization : T(n)= 2^k T(n-k) + 2^{(k-1)} + 2^{(k-2)} + ............ +2^2 + 2^1 + 1 Base condition T(1) =1 n - k = 1 k = n-1put, k = n-1T(n) =2^{(n-1)}T(1) + + 2^{(n-2)} + ............ +2^2 +2^1 + 1 It is a GP series, and the sum is 2^n - 1 T(n)= O( 2^n - 1) , or you can say O(2^n) which is exponential for 5 disks i.e. n=5 It will take 2^5-1=31 moves. Comment More infoAdvertise with us Next Article Time Complexity Analysis | Tower Of Hanoi (Recursion) S Shubham Pandey 5 Follow Improve Article Tags : Analysis of Algorithms Recursion DSA Practice Tags : Recursion Similar Reads Introduction to Recursion The process in which a function calls itself directly or indirectly is called recursion and the corresponding function is called a recursive function. A recursive algorithm takes one step toward solution and then recursively call itself to further move. The algorithm stops once we reach the solution 14 min read What is Recursion? Recursion is defined as a process which calls itself directly or indirectly and the corresponding function is called a recursive function.Example 1 : Sum of Natural Numbers Let us consider a problem to find the sum of natural numbers, there are several ways of doing that but the simplest approach is 8 min read Difference between Recursion and Iteration A program is called recursive when an entity calls itself. 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