Monday, July 5, 2021

Published July 05, 2021 by Anonymous with 0 comment

2 Keys Keyboard Problem

2 Keys Keyboard Problem

Given a positive integer N and a string S initially it is “A”, the task is to minimize the number of operations required to form a string consisting of N numbers of A’s by performing one of the following operations in each step:

  • Copy all the characters present in the string S.
  • Append all the characters to the string S which are copied last time.

Examples:

Input: N = 3
Output: 3
Explanation:
Below are the operations performed:
Operation 1: Copy the initial string S once i.e., “A”.
Operation 2: Appending the copied string i.e., “A”, to the string S modifies the string S to “AA”.
Operation 3: Appending the copied string i.e., “A”, to the string S modifies the string S to “AAA”.
Therefore, the minimum number of operations required to get 3 A’s is 3.

Input: N = 7
Output: 7

Approach: The given problem can be solved based on the following observations: 


  1. If N = P1*P2*Pm where {P1, P2, …, Pm} are the prime numbers then one can perform the following moves:
    1. First, copy the string and then paste it (P1 – 1) times.
    2. Similarly, again copying the string and pasting it for (P2 – 1) times.
    3. Performing M times with the remaining prime number, one will get the string with N number of A’s.
  2. Therefore, the total number of minimum moves needed is given by (P1 + P2 + … + Pm).

Follow the steps below to solve the problem:

Below is the implementation of the above approach:

C++

  

#include <bits/stdc++.h>

using namespace std;

  

int minSteps(int N)

{

    

    int ans = 0;

  

    

    for (int d = 2; d * d <= N; d++) {

  

        

        

        while (N % d == 0) {

  

            

            

            ans += d;

  

            

            N /= d;

        }

    }

  

    

    if (N != 1) {

        ans += N;

    }

  

    

    return ans;

}

  

int main()

{

    int N = 3;

    cout << minSteps(N);

  

    return 0;

}

Time Complexity: O(√N)
Auxiliary Space: O(1)

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