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# Minimum operations required to make every element greater than or equal to K

• Last Updated : 13 Apr, 2021

Given an array of length N. The task is to convert it into a sequence in which all elements are greater than or equal to K.The only operation allowed is taking two smallest elements of the sequence and replace them by their LCM. Find the minimum number of operations required.
If it is impossible to get such an array, print -1.
Examples:

Input : N = 4, K = 3 , arr=[1 4 5 5]
Output :
LCM of 1 and 4 is 4, hence Replace (1,4) with 4.
Now the array becomes [4,4,5].
Every element in this array is greater than or equal to K.
No of operations required is equal to 1.
Input : N = 5, K = 8 , arr=[4,4,4,4,4]
Output : -1
It is not possible to convert the given array.

Approach:

• The idea is to use a priority queue(min heap) which can handle delete and insert operation in log(N) time.
• The impossible case will arise when the number of elements in the priority queue is less than 2. The answer is equal to -1 in this case.
• Otherwise, take two elements from the top of the queue and replace it by their LCM.
• Do this until the smallest number that is top of the queue is less than K.

Below is the implementation of above approach:

## C++

 `// C++ implementation of above approach``#include ``using` `namespace` `std;` `// C++ function to get``// minimum operation needed``int` `FindMinOperation(``int` `a[], ``int` `n, ``int` `k)``{` `    ``// The priority queue holds a minimum``    ``// element in the top position``    ``priority_queue<``int``, vector<``int``>,``                              ``greater<``int``> > Q;` `    ``for` `(``int` `i = 0; i < n; i++)` `        ``// push value one by one``        ``// from the given array``        ``Q.push(a[i]);`` ` `    ``// store count of minimum operation needed``    ``int` `ans = 0;` `    ``while` `(1) {` `        ``// All elements are now >= k``        ``if` `(Q.top() >= k)``            ``break``;` `        ``// It is impossible to make as there are``        ``// no sufficient elements available``        ``if` `(Q.size() < 2)``            ``return` `-1;` `        ``// Take two smallest elements and``        ``// replace them by their LCM``        ``// first smallest element``        ``int` `x = Q.top();``        ``Q.pop();` `        ``// Second smallest element``        ``int` `y = Q.top();``        ``Q.pop();` `        ``int` `z = (x * y) / __gcd(x, y);``        ``Q.push(z);` `        ``// Increment the count``        ``ans++;``    ``}` `    ``return` `ans;``}` `// Driver Code``int` `main()``{` `    ``int` `a[] = { 3, 5, 7, 6, 8 };``    ``int` `k = 8;``    ``int` `n = ``sizeof``(a) / ``sizeof``(a);` `    ``cout << FindMinOperation(a, n, k);``}`

## Java

 `// Java implementation of above approach``import` `java.util.PriorityQueue;` `class` `GFG``{` `    ``// Function to calculate gcd of two numbers``    ``static` `int` `gcd(``int` `a, ``int` `b)``    ``{``        ``if` `(a == ``0``)``            ``return` `b;``        ``return` `gcd(b % a, a);``    ``}` `    ``// Java function to get``    ``// minimum operation needed``    ``static` `int` `FindMinOperation(``int``[] a, ``int` `n, ``int` `k)``    ``{` `        ``// The priority queue holds a minimum``        ``// element in the top position``        ``PriorityQueue Q = ``new` `PriorityQueue<>();` `        ``for` `(``int` `i = ``0``; i < n; i++)` `            ``// push value one by one``            ``// from the given array``            ``Q.add(a[i]);` `        ``// store count of minimum operation needed``        ``int` `ans = ``0``;` `        ``while` `(``true``)``        ``{` `            ``// All elements are now >= k``            ``if` `(Q.peek() >= k)``                ``break``;` `            ``// It is impossible to make as there are``            ``// no sufficient elements available``            ``if` `(Q.size() < ``2``)``                ``return` `-``1``;` `            ``// Take two smallest elements and``            ``// replace them by their LCM``            ``// first smallest element``            ``int` `x = Q.peek();``            ``Q.poll();` `            ``// Second smallest element``            ``int` `y = Q.peek();``            ``Q.poll();` `            ``int` `z = (x * y) / gcd(x, y);``            ``Q.add(z);` `            ``// Increment the count``            ``ans++;``        ``}``        ``return` `ans;``    ``}` `    ``// Driver code``    ``public` `static` `void` `main(String[] args)``    ``{``        ``int``[] a = { ``3``, ``5``, ``7``, ``6``, ``8` `};``        ``int` `k = ``8``;``        ``int` `n = a.length;``        ``System.out.println(FindMinOperation(a, n, k));``    ``}``}` `// This code is contributed by``// sanjeev2552`

## Python3

 `# Python3 implementation of above approach` `# Function to calculate gcd of two numbers``def` `gcd(a, b) :` `    ``if` `(a ``=``=` `0``) :``      ``return` `b``    ``return` `gcd(b ``%` `a, a)``    ` `# function to get ``# minimum operation needed``def` `FindMinOperation(a, n, k) :``    ` `    ``# The priority queue holds a minimum``    ``# element in the top position``    ``Q ``=` `[]``    ``for` `i ``in` `range``(``0``, n) :``    ` `      ``# push value one by one``      ``# from the given array``      ``Q.append(a[i])``    ``Q.sort()``    ` `    ``# store count of minimum operation needed``    ``ans ``=` `0``    ``while` `(``True``) :``    ` `      ``# All elements are now >= k``      ``if` `(Q[``0``] >``=` `k) :``        ``break``    ` `      ``# It is impossible to make as there are``      ``# no sufficient elements available``      ``if` `(``len``(Q) < ``2``) :``        ``return` `-``1``    ` `      ``# Take two smallest elements and ``      ``# replace them by their LCM``      ``# first smallest element``      ``x ``=` `Q[``0``] ``      ``Q.pop(``0``)``    ` `      ``# Second smallest element``      ``y ``=` `Q[``0``] ``      ``Q.pop(``0``)``      ``z ``=` `(x ``*` `y) ``/``/` `gcd(x, y)``      ``Q.append(z)``      ``Q.sort()``    ` `      ``# Increment the count``      ``ans ``+``=` `1` ` ` `    ``return` `ans``    ` `  ``# Driver code``a ``=` `[ ``3``, ``5``, ``7``, ``6``, ``8` `]``k ``=` `8``n ``=` `len``(a)` `print``(FindMinOperation(a, n, k))` `# This code is contributed by divyesh0720219.`

## C#

 `// C# implementation of above approach``using` `System;``using` `System.Collections.Generic;``class` `GFG``{` `  ``// Function to calculate gcd of two numbers``  ``static` `int` `gcd(``int` `a, ``int` `b)``  ``{``    ``if` `(a == 0)``      ``return` `b;``    ``return` `gcd(b % a, a);``  ``}` `  ``// C# function to get ``  ``// minimum operation needed``  ``static` `int` `FindMinOperation(``int``[] a, ``int` `n, ``int` `k)``  ``{` `    ``// The priority queue holds a minimum``    ``// element in the top position``    ``List<``int``> Q = ``new` `List<``int``>();``    ``for` `(``int` `i = 0; i < n; i++)` `      ``// push value one by one``      ``// from the given array``      ``Q.Add(a[i]);``    ``Q.Sort();` `    ``// store count of minimum operation needed``    ``int` `ans = 0; ``    ``while` `(``true``)``    ``{` `      ``// All elements are now >= k``      ``if` `(Q >= k)``        ``break``;` `      ``// It is impossible to make as there are``      ``// no sufficient elements available``      ``if` `(Q.Count < 2)``        ``return` `-1;` `      ``// Take two smallest elements and ``      ``// replace them by their LCM``      ``// first smallest element``      ``int` `x = Q; ``      ``Q.RemoveAt(0);` `      ``// Second smallest element``      ``int` `y = Q; ``      ``Q.RemoveAt(0);``      ``int` `z = (x * y) / gcd(x, y);``      ``Q.Add(z);``      ``Q.Sort();` `      ``// Increment the count``      ``ans++; ``    ``}``    ``return` `ans;``  ``}` `  ``// Driver code``  ``static` `void` `Main()``  ``{``    ``int``[] a = { 3, 5, 7, 6, 8 };``    ``int` `k = 8;``    ``int` `n = a.Length;` `    ``Console.WriteLine(FindMinOperation(a, n, k));``  ``}``}` `// This code is contributed by divyeshrabadiya07.`

## Javascript

 ``
Output:
`2`

Time Complexity: O(NlogN)

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