Can a simple set of rules solve a puzzle that seems impossible to plan by hand?
Why Tower of Hanoi Problem in DSA C++?
Imagine you have three pegs and a stack of different sized disks on one peg. Your goal is to move all disks to another peg, but you can only move one disk at a time and never place a bigger disk on top of a smaller one. Trying to figure out the steps manually for many disks becomes confusing very fast.
Manually planning each move is slow and easy to mess up. As the number of disks grows, the number of moves grows exponentially, making it almost impossible to keep track without errors or forgetting rules.
The Tower of Hanoi problem uses a simple, clear set of rules and recursion to break down the big problem into smaller, manageable steps. This method ensures every move is valid and the puzzle is solved efficiently without guesswork.
void moveDisk(int fromPeg, int toPeg) {
// Manually move disks one by one
// Hard to track and error-prone
}void towerOfHanoi(int n, int fromPeg, int toPeg, int auxPeg) {
if (n == 1) {
std::cout << "Move disk 1 from peg " << fromPeg << " to peg " << toPeg << std::endl;
return;
}
towerOfHanoi(n-1, fromPeg, auxPeg, toPeg);
std::cout << "Move disk " << n << " from peg " << fromPeg << " to peg " << toPeg << std::endl;
towerOfHanoi(n-1, auxPeg, toPeg, fromPeg);
}This problem teaches how to solve complex tasks by breaking them into smaller, repeatable steps, enabling efficient problem solving in many areas.
Moving a stack of plates from one shelf to another without breaking or mixing their order, or organizing tasks that depend on each other in the right sequence.
Manual planning is confusing and error-prone for many disks.
Recursion breaks the problem into smaller, manageable steps.
Ensures all moves follow the rules and solve the puzzle efficiently.
Practice
Solution
Step 1: Understand the formula for minimum moves
The minimum moves required for n disks is 2^n - 1.Step 2: Calculate for 3 disks
For 3 disks, minimum moves = 2^3 - 1 = 8 - 1 = 7.Final Answer:
7 -> Option DQuick Check:
2^3 - 1 = 7 [OK]
- Using n instead of 2^n - 1
- Calculating 2*n - 1 instead of 2^n - 1
- Confusing number of disks with moves
Solution
Step 1: Identify the base case for recursion
The base case is when there is only 1 disk to move, so move it directly.Step 2: Check the options
if (n == 1) move disk from source to destination; correctly states the base case: if (n == 1) move disk from source to destination.Final Answer:
if (n == 1) move disk from source to destination; -> Option AQuick Check:
Base case is n == 1 [OK]
- Using n == 0 as base case
- Not defining a base case
- Using incorrect condition like n < 0
Solution
Step 1: Understand the recursive move sequence for 2 disks
Move top disk (1) from A to B, move bottom disk (2) from A to C, then move disk (1) from B to C.Step 2: Match the sequence with options
Move disk 1 from A to B Move disk 2 from A to C Move disk 1 from B to C matches the correct sequence exactly.Final Answer:
Move disk 1 from A to B Move disk 2 from A to C Move disk 1 from B to C -> Option BQuick Check:
Correct move order for 2 disks [OK]
- Swapping auxiliary and destination pegs
- Moving larger disk before smaller disk
- Incorrect move order
void towerOfHanoi(int n, char source, char aux, char dest) {
if (n == 1) {
cout << "Move disk 1 from " << source << " to " << dest << endl;
return;
}
towerOfHanoi(n - 1, source, dest, aux);
cout << "Move disk " << n << " from " << source << " to " << dest << endl;
towerOfHanoi(n - 1, aux, source, dest);
}Solution
Step 1: Analyze recursive calls parameters
The first recursive call should move n-1 disks from source to auxiliary using destination as auxiliary, so parameters should be (n-1, source, dest, aux).Step 2: Identify incorrect parameter order
In the code, the first call uses (n-1, source, aux, dest) which swaps aux and dest incorrectly.Final Answer:
The order of auxiliary and destination pegs is swapped in recursive calls. -> Option AQuick Check:
Correct peg order is crucial in recursion [OK]
- Swapping auxiliary and destination pegs
- Wrong base case condition
- Missing return statements
Solution
Step 1: Understand the classic formula for 3 pegs
For 3 pegs, minimum moves = 2^n - 1.Step 2: Consider 4 pegs case
With 4 pegs, the problem is more complex; fewer moves than 2^n - 1 are possible but no simple closed formula exists.Final Answer:
It is always less than 2^n - 1 moves but no exact formula is known. -> Option CQuick Check:
4 pegs reduce moves but formula unknown [OK]
- Assuming formula 2^n - 1 applies to 4 pegs
- Thinking more pegs increase moves
- Assuming quadratic moves for 4 pegs
Ready to prove it?
Pass the test and this pattern moves unknown
