# What is Tower of Hanoi problem in AI?

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Tower of Hanoi consists of three pegs or towers with n disks placed one over the other. The objective of the puzzle or Problem is to move the stack to another peg following these simple rules. Only one disk can be moved at a time. No disk can be placed on top of the smaller disk.

## What is Tower of Hanoi problem write an algorithm to solve Tower of Hanoi problem?

To write an algorithm for Tower of Hanoi, first we need to learn how to solve this problem with lesser amount of disks, say → 1 or 2. … First, we move the smaller (top) disk to aux peg. Then, we move the larger (bottom) disk to destination peg. And finally, we move the smaller disk from aux to destination peg.

## Which is incorrect in case of Tower of Hanoi?

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.

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## What is the time complexity of Tower of Hanoi problem?

Most of the recursive programs takes exponential time that is why it is very hard to write them iteratively . T(1) = 2k T(2) = 3k T(3) = 4k So the space complexity is O(n). Here time complexity is exponential but space complexity is linear .

## What is the closed formula for Tower of Hanoi?

A closed-form solution

M ( n ) = 2 M ( n – 1) + 1 = 2 (2 n – 1 + 1) – 1 = 2 n + 1 Since our expression 2 n +1 is consistent with all the recurrence’s cases, this is the closed-form solution. So the monks will move 264+1 (about 18.45×1018) disks.

## How many moves does it take to solve the Tower of Hanoi for 7 disks?

Table depicting the number of disks in a Tower of Hanoi and the time to completion

# of disks (n) Minimum number of moves (Mn=2^n-1) Time to completion
7 127 2 minutes, 7 seconds
8 255 3 minutes, 15 seconds
9 511 6 minutes, 31 seconds
10 1,023 17 minutes, 3 seconds

## Is Hanoi Tower hard?

The Towers of Hanoi is an ancient puzzle that is a good example of a challenging or complex task that prompts students to engage in healthy struggle. Students might believe that when they try hard and still struggle, it is a sign that they aren’t smart.

## Can you move all the disks to Tower C game?

Object of the game is to move all the disks over to Tower 3 (with your mouse). But you cannot place a larger disk onto a smaller disk.

## How many moves does it take to solve the Tower of Hanoi for 5 disks?

Were you able to move the two-disk stack in three moves? Three is the minimal number of moves needed to move this tower. Maybe you also found in the games three-disks can be finished in seven moves, four-disks in 15 and five-disks in 31.

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## Can Tower of Hanoi be solved using Master Theorem?

if n = 0, return HanoiPuzzle(n − 1) [Move n-1 disks to another peg following rules of the game.] Move one disk [Move the largest disk to the open peg (a legal move).] … In this case a = 2,b = 1,d = 0, and the theorem tells us we have 2n disk moves necessary to solve the Towers of Hanoi puzzle.

## Why is Tower of Hanoi exponential?

Towers of Hanoi. A game sometimes called the Towers of Hanoi involves exponential growth in terms of the number of moves required to finish the game. In the picture below you see a stack of disks of decreasing size placed on the leftmost black base.

## How do you solve the recursive Tower of Hanoi?

We can break this into three basic steps.

1. Move disks 4 and smaller from peg A (source) to peg C (spare), using peg B (dest) as a spare. …
2. Now, with all the smaller disks on the spare peg, we can move disk 5 from peg A (source) to peg B (dest).
3. Finally, we want disks 4 and smaller moved from peg C (spare) to peg B (dest).

## How do you find the closed formula for a recurrence relation?

The above example shows a way to solve recurrence relations of the form an=an−1+f(n) where ∑nk=1f(k) has a known closed formula. If you rewrite the recurrence relation as an−an−1=f(n), and then add up all the different equations with n ranging between 1 and n, the left-hand side will always give you an−a0.