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Wed Nov 17 2021 (2 years ago)

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Divisor Game a Dynamic programming problem to get started with DP

In this article, you'll learn that how can you use DP to reduce the execution time.

Table of contents

Problem description

Alice and Bob take turns playing a game, with Alice starting first.

Try it

Initially, there is a number n on the chalkboard. On each player's turn, that player makes a move consisting of:

  • Choosing any XX with 0<X<n0 < X < n and n%X==0n \% X == 0.

  • Replacing the number n on the chalkboard with n - x.

Also, if a player cannot make a move, they lose the game.

Return true if and only if Alice wins the game, assuming both players play optimally.

Example 1

Input: n = 2
Output: true
Explanation: Alice chooses 1, and Bob has no more moves.

Exmaple 2

Input: n = 3
Output: false
Explanation: Alice chooses 1, Bob chooses 1, and Alice has no more moves.


1<=n<=10001 <= n <= 1000


  • Suppose you have a number n=1n=1. As per the problem description, Alice will start playing first. For n=1n=1, there is no x such that (0<X<n0 < X < n), hence Alice will lose the game.

  • Suppose, you have a number n=2n=2. First, Alice can choose X=1X=1 and make n=1n=1. Now, Bob has n=1n=1 and he can not make any move. So, Bob lose the game.

  • Suppose, you have a number n=4n=4. This time Alice can choose either 11 or 22. Now the real DP game begains.

DP Tree

DP Tree image

When you see the above image, then you can see at each level either Alice or Bob is present.


  1. Alice started the game, now he can choose either 1 or 2

  2. Alice chooses 1

    1. n=3n=3 and it's Bob's turn. He can choose 1 and n becomes 2

    2. n=2n=2 and it's Alice's turn. He can choose 1 and n becomes 1

    3. n=1n=1 and it's Bob's turn. He can not choose any x and Bob loses the game

  3. Alice chooses 2

    1. n=2n=2 and it's Bob's turn. He can choose 1 and n becomes 1

    2. n=1n=1 and it's Alice's turn. He can not choose any x, so he loses the game.

You can observe that initially if Alice were not played optimally and choose 2 then Alice would have to lose.

Brute force method

From the above explanation, you can see that at each step you have to make a decision. The decision should be optimal, so the current player wins the game.

You are given a number nn and you have to return true if Alice will win the game or false.

Alice can win the game if and only if there is a possibility where can Bob loses the game.

  1. Let's XX is a set of number which can divide nn and 0<X<n0 < X < n.

  2. Now, xX\forall \thinspace x \in X (for each x of set X), check if Alice is going to win or not

  3. Do the same thing


bool wins(int n){
    // if a player has 1, then he/she can not make any move
        return false;
    // if a player has 2, then he/she can make it 1 and opponent will lose the game    
        return true;
    for(int i=1; i<n; i++){
        // !wins(n-x) -> if opponent will lose the game then current player will win 
        if(n%i == 0 && !wins(n-x))
            return true;
    return false;

Time complexity

At each step, every we are creating c(n)c(n) subtrees, where c(n)c(n) is the number of divisions of nn.
So, the time complexity would be exponential.

Optimized method

You can see in the above image, while creating left subtree we are processing n=2n=2. The same n=2n=2 is being processed while generating the right subtree.

So, we can remember the previous value of wins(2)wins(2) to get rid of calculating it again.

Rest of the explanation can be found in the code

class Solution {
    bool divisorGame(int n) {
            return false;
        wins[1] = 0;
        wins[2] = 1;
        return meWins(n,wins);
    bool meWins(int n, vector<int>&wins){
        // the maximum number which can devide n can be either sqrt(n) or less than sqrt(n) 
        int sq = ceil(sqrt(n));
        for(int i=1; i<=sq; i++){
            // if i  can not divide n, then don't do anything
            if(n%i != 0){
            // if the current subtree value is not present into wins, then call the function again
            if(wins[n-i] == -1){
                meWins(n-i, wins);
            // if next player is going to loose, then current is going to win
                wins[n-i] = 1;
                return true;
        // this player can't not win
        wins[n-1] = 0;
        return false;

Thank You ❤️

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