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Minimum increment by k operations to make all equal
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Minimum cost for acquiring all coins with k extra coins allowed with every coin

Last Updated : 13 Sep, 2023
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You are given a list of N coins of different denominations. You can pay an amount equivalent to any 1 coin and can acquire that coin. In addition, once you have paid for a coin, we can choose at most K more coins and can acquire those for free. The task is to find the minimum amount required to acquire all the N coins for a given value of K.

Examples : 

Input : coin[] = {100, 20, 50, 10, 2, 5},           k = 3  Output : 7    Input : coin[] = {1, 2, 5, 10, 20, 50},           k = 3  Output : 3

As per the question, we can see that at a cost of 1 coin, we can acquire at most K+1 coins. Therefore, in order to acquire all the n coins, we will be choosing ceil(n/(k+1)) coins and the cost of choosing coins will be minimum if we choose the smallest ceil(n/(k+1)) ( Greedy approach). The smallest ceil(n/(k+1)) coins can be found by simply sorting all the N values in increasing order. 
If we should check for time complexity (n log n) is for sorting element and (k) is for adding the total amount. So, finally Time Complexity: O(n log n). 

C++




// C++ program to acquire all n coins 
#include<bits/stdc++.h>
using namespace std;
  
// function to calculate min cost
int minCost(int coin[], int n, int k) 
{
    // sort the coins value
    sort(coin, coin + n);
  
    // calculate no. of
    // coins needed
    int coins_needed = ceil(1.0 * n / 
                            (k + 1));
  
    // calculate sum of 
    // all selected coins
    int ans = 0;
    for (int i = 0; i <= coins_needed - 1; 
                                      i++) 
        ans += coin[i];
      
    return ans;
}
  
// Driver Code
int main()
{
    int coin[] = {8, 5, 3, 10,
                  2, 1, 15, 25};
    int n = sizeof(coin) / sizeof(coin[0]);
    int k = 3;
    cout << minCost(coin, n, k);
    return 0;
} 
 
 

Java




// Java program to acquire
// all n coins
import java.util.Arrays;
  
class GFG 
{
      
    // function to calculate min cost
    static int minCost(int coin[], 
                       int n, int k)
    {
          
        // sort the coins value
        Arrays.sort(coin);
  
        // calculate no. of 
        // coins needed
        int coins_needed = (int)Math.ceil(1.0 *
                                  n / (k + 1));
  
        // calculate sum of 
        // all selected coins
        int ans = 0;
          
        for (int i = 0; i <= coins_needed - 1; 
                                          i++)
            ans += coin[i];
  
        return ans;
    }
      
    // Driver code
    public static void main(String arg[])
    {
        int coin[] = { 8, 5, 3, 10, 
                       2, 1, 15, 25 };
        int n = coin.length;
        int k = 3;
          
        System.out.print(minCost(coin, n, k));
    }
}
  
// This code is contributed
// by Anant Agarwal.
 
 

Python3




# Python3 program to
# acquire all n coins 
  
import math
  
# function to calculate min cost
def minCost(coin, n, k): 
  
    # sort the coins value
    coin.sort()
  
    # calculate no. of
    # coins needed
    coins_needed = math.ceil(1.0 * n //
                            (k + 1));
  
    # calculate sum of all
    # selected coins
    ans = 0
    for i in range(coins_needed - 1 + 1): 
        ans += coin[i]
      
    return ans
  
# Driver code
coin = [8, 5, 3, 10, 
        2, 1, 15, 25]
n = len(coin)
k = 3
  
print(minCost(coin, n, k))
  
# This code is contributed
# by Anant Agarwal.
 
 

C#




// C# program to acquire all n coins
using System;
  
class GFG 
{
      
    // function to calculate min cost
    static int minCost(int []coin, 
                       int n, int k)
    {
        // sort the coins value
        Array.Sort(coin);
  
        // calculate no. of coins needed
        int coins_needed = (int)Math.Ceiling(1.0 *
                                     n / (k + 1));
  
        // calculate sum of 
        // all selected coins
        int ans = 0;
          
        for (int i = 0; i <= coins_needed - 1; i++)
            ans += coin[i];
  
        return ans;
    }
      
    // Driver code
    public static void Main()
    {
        int []coin = {8, 5, 3, 10, 
                      2, 1, 15, 25};
        int n = coin.Length;
        int k = 3;
          
        // Function calling
        Console.Write(minCost(coin, n, k));
    }
}
  
// This code is contributed
// by nitin mittal.
 
 

PHP




<?php
// PHP program to acquire all n coins 
  
// function to calculate min cost
function minCost($coin, $n, $k) 
{
    // sort the coins value
    sort($coin); sort($coin,$n);
  
    // calculate no. of coins needed
    $coins_needed = ceil(1.0 * $n / ($k + 1));
  
    // calculate sum of 
    // all selected coins
    $ans = 0;
    for ($i = 0; $i <= $coins_needed - 1; $i++) 
        $ans += $coin[$i];
      
    return $ans;
}
  
// Driver Code
{
    $coin = array(8, 5, 3, 10, 
                  2, 1, 15, 25);
    $n = sizeof($coin) / sizeof($coin[0]);
    $k = 3;
    echo minCost($coin, $n, $k);
    return 0;
}         
  
// This code is contributed
// by nitin mittal.
?>
 
 

Javascript




<script>
  
// Javascript program to acquire all n coins
  
// Function to calculate min cost
function minCost(coin, n, k)
{
      
    // Sort the coins value
    coin.sort(function(a, b){return a - b})
      
    // Calculate no. of
    // coins needed
    var coins_needed = Math.ceil(n /(k + 1));
  
    // Calculate sum of
    // all selected coins
    var ans = 0;
    for(var i = 0; i <= coins_needed - 1; i++)
        ans += coin[i];
      
    return ans;
}
  
// Driver Code
var coin = [ 8, 5, 3, 10,
             2, 1, 15, 25 ]
var n = coin.length;
var k = 3;
  
document.write(minCost(coin, n, k));
  
// This code is contributed by noob2000
  
</script>
 
 

Output : 

3

Time Complexity: O(n log n)

Auxiliary Space: O(1)
Note that there are more efficient approaches to find the given number of smallest values. For example, method 6 of m largest(or smallest) elements in an array can find m’th smallest element in (n-m) Log m + m Log m).

How to handle multiple queries for a single predefined array? 
In this case, if you are asked to find the above answer for many values of K, you have to compute it fast and our time complexity got increased as per the number of queries for k. For the purpose to serve, we can maintain a prefix sum array after sorting all the N values and can answer queries easily and quickly. 
Suppose 

C++




// C++ program to acquire all 
// n coins at minimum cost
// with multiple values of k.
#include<bits/stdc++.h>
using namespace std;
  
// Converts coin[] to prefix sum array
void preprocess(int coin[], int n)
{
    // sort the coins value
    sort(coin, coin + n);
  
    // Maintain prefix sum array
    for (int i = 1; i <= n - 1; i++)
        coin[i] += coin[i - 1];
}
  
// Function to calculate min 
// cost when we can get k extra
// coins after paying cost of one.
int minCost(int coin[], int n, int k)
{
    // calculate no. of coins needed
    int coins_needed = ceil(1.0 * n / (k + 1));
  
    // return sum of from prefix array
    return coin[coins_needed - 1];
}
  
// Driver Code
int main()
{
    int coin[] = {8, 5, 3, 10, 
                  2, 1, 15, 25};
    int n = sizeof(coin) / sizeof(coin[0]);
    preprocess(coin, n);
    int k = 3;
    cout << minCost(coin, n, k) << endl;
    k = 7;
    cout << minCost(coin, n, k) << endl;
    return 0;
}
 
 

Java




// C# program to acquire all n coins at 
// minimum cost with multiple values of k.
import java .io.*;
import java.util.Arrays;
  
public class GFG {
      
    // Converts coin[] to prefix sum array
    static void preprocess(int []coin, int n)
    {
          
        // sort the coins value
        Arrays.sort(coin);
      
        // Maintain prefix sum array
        for (int i = 1; i <= n - 1; i++)
            coin[i] += coin[i - 1];
    }
      
    // Function to calculate min cost when we
    // can get k extra coins after paying 
    // cost of one.
    static int minCost(int []coin, int n, int k)
    {
          
        // calculate no. of coins needed
        int coins_needed =(int) Math.ceil(1.0 
                                * n / (k + 1));
      
        // return sum of from prefix array
        return coin[coins_needed - 1];
    }
      
    // Driver Code
    static public void main (String[] args)
    {
        int []coin = {8, 5, 3, 10, 2, 1, 15, 25};
        int n = coin.length;
          
        preprocess(coin, n);
          
        int k = 3;
        System.out.println(minCost(coin, n, k));
          
        k = 7;
        System.out.println( minCost(coin, n, k));
    }
}
  
// This code is contributed by anuj_67.
 
 

Python3




# Python3 program to acquire all n coins at 
# minimum cost with multiple values of k.
import math as mt
  
# Converts coin[] to prefix sum array
def preprocess(coin, n):
  
    # sort the coins values
    coin.sort()
      
    # maintain prefix sum array
    for i in range(1, n):
        coin[i] += coin[i - 1]
      
# Function to calculate min cost when we can  
# get k extra coins after paying cost of one.
def minCost(coin, n, k):
      
    # calculate no. of coins needed
    coins_needed = mt.ceil(1.0 * n / (k + 1))
      
    # return sum of from prefix array
    return coin[coins_needed - 1]
      
# Driver code
coin = [8, 5, 3, 10, 2, 1, 15, 25]
  
n = len(coin)
  
preprocess(coin, n)
k = 3
  
print(minCost(coin, n, k))
  
k = 7
  
print(minCost(coin, n, k))
  
# This code is contributed 
# by Mohit kumar 29 
 
 

C#




// C# program to acquire all n coins at 
// minimum cost with multiple values of k.
using System;
  
public class GFG {
      
    // Converts coin[] to prefix sum array
    static void preprocess(int []coin, int n)
    {
          
        // sort the coins value
        Array.Sort(coin);
      
        // Maintain prefix sum array
        for (int i = 1; i <= n - 1; i++)
            coin[i] += coin[i - 1];
    }
      
    // Function to calculate min cost when we
    // can get k extra coins after paying 
    // cost of one.
    static int minCost(int []coin, int n, int k)
    {
          
        // calculate no. of coins needed
        int coins_needed =(int) Math.Ceiling(1.0 
                                 * n / (k + 1));
      
        // return sum of from prefix array
        return coin[coins_needed - 1];
    }
      
    // Driver Code
    static public void Main ()
    {
        int []coin = {8, 5, 3, 10, 2, 1, 15, 25};
        int n = coin.Length;
          
        preprocess(coin, n);
          
        int k = 3;
        Console.WriteLine(minCost(coin, n, k));
          
        k = 7;
        Console.WriteLine( minCost(coin, n, k));
    }
}
  
// This code is contributed by anuj_67.
 
 

PHP




<?php 
// PHP program to acquire all n coins at 
// minimum cost with multiple values of k.
  
// Converts coin[] to prefix sum array
function preprocess(&$coin, $n)
{
    // sort the coins value
    sort($coin);
  
    // Maintain prefix sum array
    for ($i = 1; $i <= $n - 1; $i++)
        $coin[$i] += $coin[$i - 1];
}
  
// Function to calculate min cost 
// when we can get k extra coins 
// after paying cost of one.
function minCost(&$coin, $n, $k)
{
    // calculate no. of coins needed
    $coins_needed = ceil(1.0 * $n / ($k + 1));
  
    // return sum of from prefix array
    return $coin[$coins_needed - 1];
}
  
// Driver Code
$coin = array(8, 5, 3, 10, 
              2, 1, 15, 25);
$n = sizeof($coin);
preprocess($coin, $n);
  
$k = 3;
echo minCost($coin, $n, $k) . "\n";
  
$k = 7;
echo minCost($coin, $n, $k) . "\n";
  
// This code is contributed by ita_c
?>
 
 

Javascript




<script>
  
// Javascript program to acquire all n coins at
// minimum cost with multiple values of k.
      
    // Converts coin[] to prefix sum array
    function preprocess(coin,n)
    {
        // sort the coins value
        coin.sort(function(a,b){return a-b;});
            
       
        // Maintain prefix sum array
        for (let i = 1; i <= n - 1; i++)
            coin[i] += coin[i - 1];
    }
      
    // Function to calculate min cost when we
    // can get k extra coins after paying
    // cost of one.
    function minCost(coin,n,k)
    {
        // calculate no. of coins needed
        let coins_needed =Math.ceil(1.0
                                * n / (k + 1));
       
        // return sum of from prefix array
        return coin[coins_needed - 1];
    }
      
    // Driver Code
    let coin=[8, 5, 3, 10, 2, 1, 15, 25];
    let n = coin.length;
    preprocess(coin, n);
    let k = 3;
    document.write(minCost(coin, n, k)+"<br>");
      
    k = 7;
    document.write( minCost(coin, n, k));
      
    // This code is contributed by rag2127
      
</script>
 
 

Output : 

3  1

Time Complexity: O(n log n)

Auxiliary Space: O(1)
After preprocessing, every query for a k takes O(1) time.

 



Next Article
Minimum increment by k operations to make all equal

S

Shivam Pradhan (anuj_charm)
Improve
Article Tags :
  • DSA
  • Greedy
  • prefix-sum
Practice Tags :
  • Greedy
  • prefix-sum

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      Prim’s algorithm is a Greedy algorithm like Kruskal's algorithm. This algorithm always starts with a single node and moves through several adjacent nodes, in order to explore all of the connected edges along the way. The algorithm starts with an empty spanning tree. The idea is to maintain two sets
      15+ min read

    • Boruvka's algorithm | Greedy Algo-9
      We have discussed the following topics on Minimum Spanning Tree.Applications of Minimum Spanning Tree Problem Kruskal’s Minimum Spanning Tree Algorithm Prim’s Minimum Spanning Tree AlgorithmIn this post, Boruvka's algorithm is discussed. Like Prim's and Kruskal's, Boruvka’s algorithm is also a Greed
      15+ min read

    • Dial's Algorithm (Optimized Dijkstra for small range weights)
      Dijkstra’s shortest path algorithm runs in O(Elog V) time when implemented with adjacency list representation (See C implementation and STL based C++ implementations for details). Input : Source = 0, Maximum Weight W = 14Output : Vertex Distance from Source 0 0 1 4 2 12 3 19 4 21 5 11 6 9 7 8 8 14 C
      15+ min read

    • Minimum cost to connect all cities
      There are n cities and there are roads in between some of the cities. Somehow all the roads are damaged simultaneously. We have to repair the roads to connect the cities again. There is a fixed cost to repair a particular road. Input is in the form of edges {u, v, w} where, u and v are city indices.
      7 min read

    • Number of single cycle components in an undirected graph
      Given a set of 'n' vertices and 'm' edges of an undirected simple graph (no parallel edges and no self-loop), find the number of single-cycle components present in the graph. A single-cyclic component is a graph of n nodes containing a single cycle through all nodes of the component. Example: Let us
      9 min read

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