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Subset Sum Queries in a Range using Bitset
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Subset Sum Queries in a Range using Bitset

Last Updated : 21 Mar, 2023
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Given an array[] of N positive integers and M queries. Each query consists of two integers L and R represented by a range. For each query, find the count of numbers that lie in the given range which can be expressed as the sum of any subset of given array. 

Prerequisite : Subset Sum Queries using Bitset 

Examples:

Input : arr[] = { 1, 2, 2, 3, 5 }, M = 4 L = 1, R = 2 L = 1, R = 5 L = 3, R = 6 L = 9, R = 30 
Output : 2 5 4 5 
Explanation : For the first query, in range [1, 2] all numbers i.e. 1 and 2 can be expressed as a subset sum, 1 as 1, 2 as 2. For the second query, in range [1, 5] all numbers i.e. 1, 2, 3, 4 and 5 can be expressed as subset sum, 1 as 1, 2 as 2, 3 as 3, 4 as 2 + 2 or 1 + 3, 5 as 5. For the third query, in range [3, 6], all numbers i.e. 3, 4, 5 and 6 can be expressed as subset sum. For the last query, only numbers 9, 10, 11, 12, 13 can be expressed as subset sum, 9 as 5 + 2 + 2, 10 as 5 + 2 + 2 + 1, 11 as 5 + 3 + 2 + 1, 12 as 5 + 3 + 2 + 2 and 13 as 5 + 3 + 2 + 2 + 1.

Approach: The idea is to use a bitset and iterate over the array to represent all possible subset sums. The current state of bitset is defined by ORing it with the previous state of bitset left shifted X times where X is the current element processed in the array. To answer the queries in O(1) time, we can precompute the count of numbers upto every number and for a range [L, R], the answer would be pre[R] - pre[L - 1], where pre[] is the precomputed array.

Below is the implementation of the above approach. 

C++
// CPP Program to answer subset // sum queries in a given range #include <bits/stdc++.h> using namespace std;  const int MAX = 1001; bitset<MAX> bit;  // precomputation array int pre[MAX];  // structure to represent query struct que {     int L, R; };  void answerQueries(int Q, que Queries[], int N,                 int arr[]) {     // Setting bit at 0th position as 1     bit[0] = 1;     for (int i = 0; i < N; i++)         bit |= (bit << arr[i]);      // Precompute the array     for (int i = 1; i < MAX; i++)         pre[i] = pre[i - 1] + bit[i];      // Answer Queries     for (int i = 0; i < Q; i++) {         int l = Queries[i].L;         int r = Queries[i].R;         cout << pre[r] - pre[l - 1] << endl;     } }  // Driver Code to test above function int main() {     int arr[] = { 1, 2, 2, 3, 5 };     int N = sizeof(arr) / sizeof(arr[0]);     int M = 4;     que Queries[M];     Queries[0].L = 1, Queries[0].R = 2;     Queries[1].L = 1, Queries[1].R = 5;     Queries[2].L = 3, Queries[2].R = 6;     Queries[3].L = 9, Queries[3].R = 30;     answerQueries(M, Queries, N, arr);     return 0; } 
Java
import java.util.Arrays;  // Class to represent query class Que {   int L, R;    Que(int L, int R) {     this.L = L;     this.R = R;   } }  public class Main {   private static final int MAX = 1001;   private static boolean[] bit = new boolean[MAX];    // Precomputation array   private static int[] pre = new int[MAX];    public static void answerQueries(int Q, Que[] Queries, int N, int[] arr) {     // Setting bit at 0th position as 1     bit[0] = true;     for (int i = 0; i < N; i++) {       for (int j = MAX - 1; j >= arr[i]; j--) {         bit[j] |= bit[j - arr[i]];       }     }      // Precompute the array     for (int i = 1; i < MAX; i++) {       pre[i] = pre[i - 1] + (bit[i] ? 1 : 0);     }      // Answer Queries     for (int i = 0; i < Q; i++) {       int l = Queries[i].L;       int r = Queries[i].R;       System.out.println(pre[r] - pre[l - 1]);     }   }    // Driver Code to test above function   public static void main(String[] args) {     int[] arr = {1, 2, 2, 3, 5};     int N = arr.length;     int M = 4;     Que[] Queries = {new Que(1, 2), new Que(1, 5), new Que(3, 6), new Que(9, 30)};     answerQueries(M, Queries, N, arr);   } } 
Python3
from typing import List  MAX = 1001 bit = [0] * MAX  # precomputation array pre = [0] * MAX  # structure to represent query class Que:     def __init__(self, L, R):         self.L = L         self.R = R  def answerQueries(Q: int, Queries: List[Que], N: int, arr: List[int]) -> None:     global bit, pre     # Setting bit at 0th position as 1     bit[0] = 1     for i in range(N):         bit = [b or (bit[j - arr[i]] if j - arr[i] >= 0 else 0) for j, b in enumerate(bit)]      # Precompute the array     for i in range(1, MAX):         pre[i] = pre[i - 1] + bit[i]      # Answer Queries     for i in range(Q):         l = Queries[i].L         r = Queries[i].R         print(pre[r] - pre[l - 1])  # Driver Code to test above function if __name__ == "__main__":     arr = [1, 2, 2, 3, 5]     N = len(arr)     M = 4     Queries = [Que(1, 2), Que(1, 5), Que(3, 6), Que(9, 30)]     answerQueries(M, Queries, N, arr) 
C#
using System;  public class GFG {     private const int MAX = 1001;     private static bool[] bit = new bool[MAX];      // Precomputation array     private static int[] pre = new int[MAX];      // Class to represent query     public class Que     {         public int L, R;          public Que(int L, int R)         {             this.L = L;             this.R = R;         }     }      public static void answerQueries(int Q, Que[] Queries, int N, int[] arr)     {         // Setting bit at 0th position as 1         bit[0] = true;         for (int i = 0; i < N; i++)         {             for (int j = MAX - 1; j >= arr[i]; j--)             {                 bit[j] |= bit[j - arr[i]];             }         }          // Precompute the array         for (int i = 1; i < MAX; i++)         {             pre[i] = pre[i - 1] + (bit[i] ? 1 : 0);         }          // Answer Queries         for (int i = 0; i < Q; i++)         {             int l = Queries[i].L;             int r = Queries[i].R;             Console.WriteLine(pre[r] - pre[l - 1]);         }     }      // Driver Code to test above function     public static void Main(String[] args)     {         int[] arr = { 1, 2, 2, 3, 5 };         int N = arr.Length;         int M = 4;         Que[] Queries = { new Que(1, 2), new Que(1, 5), new Que(3, 6), new Que(9, 30) };         answerQueries(M, Queries, N, arr);     } } 
JavaScript
// JavaScript Program to answer subset // sum queries in a given range  const MAX = 1001; let bit = Array(MAX).fill(0);  // precomputation array let pre = Array(MAX).fill(0);  // class to represent query class Que { constructor(L, R) { this.L = L; this.R = R; } }  function answerQueries(Q, Queries, N, arr) { // Setting bit at 0th position as 1 bit[0] = 1; for (let i = 0; i < N; i++) { for (let j = MAX - 1; j >= arr[i]; j--) { bit[j] |= bit[j - arr[i]]; } }// Precompute the array for (let i = 1; i < MAX; i++) {     pre[i] = pre[i - 1] + bit[i]; }  // Answer Queries for (let i = 0; i < Q; i++) {     let l = Queries[i].L;     let r = Queries[i].R;     console.log(pre[r] - pre[l - 1]); } }  // Driver Code to test above function let arr = [1, 2, 2, 3, 5]; let N = arr.length; let M = 4; let Queries = [new Que(1, 2), new Que(1, 5), new Que(3, 6), new Que(9, 30)]; answerQueries(M, Queries, N, arr); 

Output
2 5 4 5

Time Complexity: Each query can be answered in O(1) time and precomputation requires O(MAX) time.
Auxiliary Space: O(MAX) 


Next Article
Subset Sum Queries in a Range using Bitset

N

Nishant Tanwar
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Article Tags :
  • Bit Magic
  • Algorithms
  • DSA
  • Arrays
  • Technical Scripter 2018
  • subset
  • Bitwise-OR
Practice Tags :
  • Algorithms
  • Arrays
  • Bit Magic
  • subset

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