# Minimum removals from array to make GCD greater

Given N numbers, the task is to find the minimum removal of numbers such that GCD of the remaining numbers is greater than initial GCD of N numbers. If it is not possible to increase the GCD, print “NO”.

**Examples:**

Input: a[] = {1, 2, 4}

Output: 1

Remove the first element, then the new GCD is 2, which is greater than the initial GCD i.e., 1.Input: a[] = {6, 9, 15, 30}

Output: 2

The initial gcd is 3, remove 6 and 9 to obtain a gcd of 15 which is greater than 3. You can also remove 9 and 15 to get a gcd of 6.

The following steps are followed to solve the above problem:

- Initially find the gcd of N numbers using Euclidean algorithms.
- Divide all numbers by the obtained gcd.
- Using prime factorization for multiple queries method, find the prime factorization of every number in O(log N). The method can be read here.
- Insert all the prime factors in the set to remove duplicates which are obtained using this method.
- Using a hash-map, count the frequencies of the prime factors in every i-th element.
- Once the factorization of numbers have been done, and the count has been stored in the frequency table, iterate in the hash-map and find out the prime factor which occurs the maximum number of times. It cannot be N, as we have already divided the array elements initially by the initial gcd of N numbers.
- The number of removals will always be n-(hash[prime_factor]) if there are any such factors after divison of initial gcd.

Below is the implementation of the above approach.

`// C++ program to find the minimum removals ` `// such that gcd of remaining numbers is more ` `// than the initial gcd of N numbers ` `#include <bits/stdc++.h> ` `using` `namespace` `std; ` ` ` `#define MAXN 100001 ` ` ` `// stores smallest prime factor for every number ` `int` `spf[MAXN]; ` ` ` `// Calculating SPF (Smallest Prime Factor) for every ` `// number till MAXN. ` `// Time Complexity : O(nloglogn) ` `void` `sieve() ` `{ ` ` ` `spf[1] = 1; ` ` ` `for` `(` `int` `i = 2; i < MAXN; i++) ` ` ` ` ` `// marking smallest prime factor for every ` ` ` `// number to be itself. ` ` ` `spf[i] = i; ` ` ` ` ` `// separately marking spf for every even ` ` ` `// number as 2 ` ` ` `for` `(` `int` `i = 4; i < MAXN; i += 2) ` ` ` `spf[i] = 2; ` ` ` ` ` `for` `(` `int` `i = 3; i * i < MAXN; i++) { ` ` ` ` ` `// checking if i is prime ` ` ` `if` `(spf[i] == i) { ` ` ` ` ` `// marking SPF for all numbers divisible by i ` ` ` `for` `(` `int` `j = i * i; j < MAXN; j += i) ` ` ` ` ` `// marking spf[j] if it is not ` ` ` `// previously marked ` ` ` `if` `(spf[j] == j) ` ` ` `spf[j] = i; ` ` ` `} ` ` ` `} ` `} ` ` ` `// A O(log n) function returning primefactorization ` `// by dividing by smallest prime factor at every step ` `vector<` `int` `> getFactorization(` `int` `x) ` `{ ` ` ` `vector<` `int` `> ret; ` ` ` `while` `(x != 1) { ` ` ` `ret.push_back(spf[x]); ` ` ` `x = x / spf[x]; ` ` ` `} ` ` ` `return` `ret; ` `} ` ` ` `// Function which returns the minimal ` `// removals required to make gcd ` `// greater than previous ` `int` `minimumRemovals(` `int` `a[], ` `int` `n) ` `{ ` ` ` `int` `g = 0; ` ` ` ` ` `// finding initial gcd ` ` ` `for` `(` `int` `i = 0; i < n; i++) ` ` ` `g = __gcd(a[i], g); ` ` ` ` ` `unordered_map<` `int` `, ` `int` `> mpp; ` ` ` ` ` `// divides all number by initial gcd ` ` ` `for` `(` `int` `i = 0; i < n; i++) ` ` ` `a[i] = a[i] / g; ` ` ` ` ` `// iterating for all numbers ` ` ` `for` `(` `int` `i = 0; i < n; i++) { ` ` ` ` ` `// primt factorisation to get the prime ` ` ` `// factors of i-th element in the array ` ` ` `vector<` `int` `> p = getFactorization(a[i]); ` ` ` `set<` `int` `> s; ` ` ` ` ` `// insert all the prime factors in ` ` ` `// set to remove duplicates ` ` ` `for` `(` `int` `j = 0; j < p.size(); j++) { ` ` ` `s.insert(p[j]); ` ` ` `} ` ` ` ` ` `/// increase the count of prime ` ` ` `// factor in map for every element ` ` ` `for` `(` `auto` `it = s.begin(); it != s.end(); it++) { ` ` ` `int` `el = *it; ` ` ` `mpp[el] += 1; ` ` ` `} ` ` ` `} ` ` ` ` ` `int` `mini = INT_MAX; ` ` ` `int` `mini1 = INT_MAX; ` ` ` ` ` `// iterate in map and check for every factor ` ` ` `// and its count ` ` ` `for` `(` `auto` `it = mpp.begin(); it != mpp.end(); it++) { ` ` ` `int` `fir = it->first; ` ` ` `int` `sec = it->second; ` ` ` ` ` `// check for the largest appearing factor ` ` ` `// which does not appears in any one or more ` ` ` `if` `((n - sec) <= mini) { ` ` ` `mini = n - sec; ` ` ` `} ` ` ` `} ` ` ` `if` `(mini != INT_MAX) ` ` ` `return` `mini; ` ` ` `else` ` ` `return` `-1; ` `} ` ` ` `// Driver code ` `int` `main() ` `{ ` ` ` `int` `a[] = { 6, 9, 15, 30 }; ` ` ` `int` `n = ` `sizeof` `(a) / ` `sizeof` `(a[0]); ` ` ` `sieve(); ` ` ` `cout << minimumRemovals(a, n); ` ` ` `return` `0; ` `} ` |

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**Output:**

2

**
Time Complexity:** O(log log N) for precalculation of Seive, and O(N * log N) for calculation.

**Auxiliary Space:**O(N)

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