Minimum cost to fill given weight in a bag

You are given a bag of size W kg and you are provided costs of packets different weights of oranges in array cost[] where cost[i] is basically cost of ‘i’ kg packet of oranges. Where cost[i] = -1 means that ‘i’ kg packet of orange is unavailable

Find the minimum total cost to buy exactly W kg oranges and if it is not possible to buy exactly W kg oranges then print -1. It may be assumed that there is infinite supply of all available packet types.

Note : array starts from index 1.

Input  : W = 5, cost[] = {20, 10, 4, 50, 100}
Output : 14
We can choose two oranges to minimize cost. First 
orange of 2Kg and cost 10. Second orange of 3Kg
and cost 4. 

Input  : W = 5, cost[] = {1, 10, 4, 50, 100}
Output : 5
We can choose five oranges of weight 1 kg.

Input  : W = 5, cost[] = {1, 2, 3, 4, 5}
Output : 5
Costs of 1, 2, 3, 4 and 5 kg packets are 1, 2, 3, 
4 and 5 Rs respectively. 
We choose packet of 5kg having cost 5 for minimum
cost to get 5Kg oranges.

Input  : W = 5, cost[] = {-1, -1, 4, 5, -1}
Output : -1
Packets of size 1, 2 and 5 kg are unavailable
because they have cost -1. Cost of 3 kg packet 
is 4 Rs and of 4 kg is 5 Rs. Here we have only 
weights 3 and 4 so by using these two we can  
not make exactly W kg weight, therefore answer 
is -1.

This problem is can be reduced to 0-1 Knapsack Problem. So in cost array, we first ignore those packets which are not available i.e; cost is -1 and then traverse the cost array and create two array val[] for storing cost of ‘i’ kg packet of orange and wt[] for storing weight of corresponding packet. Suppose cost[i] = 50 so weight of packet will be i and cost will be 50.
Algorithm :

  • Create matrix min_cost[n+1][W+1], where n is number of distinct weighted packets of orange and W is maximum capacity of bag.
  • Initialize 0th row with INF (infinity) and 0th Column with 0.
  • Now fill the matrix
    • if wt[i-1] > j then min_cost[i][j] = min_cost[i-1][j] ;
    • if wt[i-1] >= j then min_cost[i][j] = min(min_cost[i-1][j], val[i-1] + min_cost[i][j-wt[i-1]]);
  • If min_cost[n][W]==INF then output will be -1 because this means that we cant not make make weight W by using these weights else output will be min_cost[n][W].
// C++ program to find minimum cost to get exactly
// W Kg with given packets
#define INF 1000000
using namespace std;

// cost[] initial cost array including unavailable packet
// W capacity of bag
int MinimumCost(int cost[], int n, int W)
    // val[] and wt[] arrays
    // val[] array to store cost of 'i' kg packet of orange
    // wt[] array weight of packet of orange
    vector<int> val, wt;

    // traverse the original cost[] array and skip
    // unavailable packets and make val[] and wt[]
    // array. size variable tells the available number
    // of distinct weighted packets
    int size = 0;
    for (int i=0; i<n; i++)
        if (cost[i]!= -1)

    n = size;
    int min_cost[n+1][W+1];

    // fill 0th row with infinity
    for (int i=0; i<=W; i++)
        min_cost[0][i] = INF;

    // fill 0'th column with 0
    for (int i=1; i<=n; i++)
        min_cost[i][0] = 0;

    // now check for each weight one by one and fill the
    // matrix according to the condition
    for (int i=1; i<=n; i++)
        for (int j=1; j<=W; j++)
            // wt[i-1]>j means capacity of bag is
            // less then weight of item
            if (wt[i-1] > j)
                min_cost[i][j] = min_cost[i-1][j];

            // here we check we get minimum cost either
            // by including it or excluding it
                min_cost[i][j] = min(min_cost[i-1][j],
                     min_cost[i][j-wt[i-1]] + val[i-1]);

    // exactly weight W can not be made by given weights
    return (min_cost[n][W]==INF)? -1: min_cost[n][W];

// Driver program to run the test case
int main()
    int cost[] = {1, 2, 3, 4, 5}, W = 5;
    int n = sizeof(cost)/sizeof(cost[0]);

    cout << MinimumCost(cost, n, W);
    return 0;



This article is contributed by Shashank Mishra ( Gullu ).This article is reviewed by team GeeksForGeeks.
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