Sum of all substrings of a string representing a number | (Constant Extra Space)
Last Updated :
21 May, 2025
Given a string representing a number, we need to get the sum of all possible sub strings of this string.
Examples :
Input: s = "6759"
Output: 8421
Explanation: sum = 6 + 7 + 5 + 9 + 67 + 75 +
59 + 675 + 759 + 6759
= 8421
Input: s = "16"
Output: 23
Explanation: sum = 1 + 6 + 16 = 23
Approach
The main idea is to analyze how each digit contributes to the sum of all substrings by observing its position and place value.
Let number be s = "6759".
1 10 100 1000
6 1 1 1 1
7 2 2 2
5 3 3
9 4
The above table indicates that, when all the substrings are converted further to the ones, tens, hundreds etc.. form, each index of the string will have some fixed occurrence. The 0'th index will have 1 occurrence each of ones, tens etc. The 1st will have 2, 2nd will have 3 and so on. Each digit at index i
appears in exactly (i + 1)
substrings ending at that digit. Additionally, its contribution is scaled by powers of 10 based on its position from the right.
So the total sum of all substrings can be expressed by evaluating how each digit contributes based on its position. For the string s = "6759"
, the sum becomes:
sum = 6*(1*1 + 1*10 + 1*100 + 1*1000) + 7*(2*1 + 2*10 + 2*100) +
5*(3*1 + 3*10) + 9*(4*1)
= 6*1*(1111) + 7*2*(111) + 5*3*(11) + 9*4*(1)
= 6666 + 1554 + 165 + 36
= 8421
Now, to handle the multiplication we will be having a multiplying factor which starts from 1. It's clear from the example that the multiplying factor(in reverse) is 1, 11, 111, ... and so on. So the multiplication will be based on three factors. number, its index, and a multiplying factor.
C++
// C++ program to print sum of all substring of
// a number represented as a string
#include <bits/stdc++.h>
using namespace std;
// Returns sum of all substring of num
int sumOfSubstrings(string s){
int sum = 0;
// Here traversing the array in reverse
// order.Initializing loop from last element.
// mf is multiplying factor.
int mf = 1;
for (int i=s.size()-1; i>=0; i--){
// Each time sum is added to its previous
// sum. Multiplying the three factors as explained above.
// s[i]-'0' is done to convert char to int.
sum += (s[i]-'0')*(i+1)*mf;
// Making new multiplying factor as explained above.
mf = mf*10 + 1;
}
return sum;
}
// Driver code
int main(){
string s = "6759";
cout << sumOfSubstrings(s) << endl;
return 0;
}
Java
// Java program to print sum of all substring of
// a number represented as a string
import java.util.Arrays;
class GfG {
// Returns sum of all substring of num
static int sumOfSubstrings(String s){
// Initialize result
int sum = 0;
// Here traversing the array in reverse
// order.Initializing loop from last
// element.
// mf is multiplying factor.
int mf = 1;
for (int i = s.length() - 1; i >= 0; i --){
// Each time sum is added to its previous
// sum. Multiplying the three factors as
// explained above.
// s[i]-'0' is done to convert char to int.
sum += (s.charAt(i) - '0') * (i + 1) * mf;
// Making new multiplying factor as
// explained above.
mf = mf * 10 + 1;
}
return sum;
}
// Driver Code
public static void main(String[] args){
String s = "6759";
System.out.println(sumOfSubstrings(s));
}
}
// This code is contributed by Arnav Kr. Mandal.
Python
# Python3 program to print sum of all substring of
# a number represented as a string
# Returns sum of all substring of num
def sumOfSubstrings(s):
# Initialize result
sum = 0
# Here traversing the array in reverse
# order.Initializing loop from last
# element.
# mf is multiplying factor.
mf = 1
for i in range(len(s) - 1, -1, -1):
# Each time sum is added to its previous
# sum. Multiplying the three factors as
# explained above.
# int(s[i]) is done to convert char to int.
sum = sum + (int(s[i])) * (i + 1) * mf
# Making new multiplying factor as
# explained above.
mf = mf * 10 + 1
return sum
# Driver Code
if __name__=='__main__':
s = "6759"
print(sumOfSubstrings(s))
C#
// C# program to print sum of all substring of
// a number represented as a string
using System;
class GfG {
// Returns sum of all substring of num
static int sumOfSubstrings(string s){
int sum = 0;
// Here traversing the array in reverse
// order.Initializing loop from last
// element.
// mf is multiplying factor.
int mf = 1;
for (int i = s.Length - 1; i >= 0; i --){
// Each time sum is added to its previous
// sum. Multiplying the three factors as
// explained above.
// s[i]-'0' is done to convert char to int.
sum += (s[i] - '0') * (i + 1) * mf;
// Making new multiplying factor as
// explained above.
mf = mf * 10 + 1;
}
return sum;
}
// Driver Code
public static void Main() {
string s = "6759";
Console.WriteLine(sumOfSubstrings(s));
}
}
// This code is contributed by Sam007.
JavaScript
// Function returns sum of all substring of num
function sumOfSubstrings(s){
let sum = 0;
// Here traversing the array in reverse
// order.Initializing loop from last
// element.
// mf is multiplying factor.
let mf = 1;
for (let i = s.length - 1; i >= 0; i--) {
// Each time sum is added to its previous
// sum. Multiplying the three factors as
// explained above.
// s[i]-'0' is done to convert char to int.
sum += (s[i].charCodeAt() - "0".charCodeAt())
* (i + 1) * mf;
// Making new multiplying factor as
// explained above.
mf = mf * 10 + 1;
}
return sum;
}
// Driver Code
let s = "6759";
console.log(sumOfSubstrings(s));
Time Complexity: O(n), where n is size of the s.
Auxiliary Space: O(1)
Similar Reads
DSA Tutorial - Learn Data Structures and Algorithms DSA (Data Structures and Algorithms) is the study of organizing data efficiently using data structures like arrays, stacks, and trees, paired with step-by-step procedures (or algorithms) to solve problems effectively. Data structures manage how data is stored and accessed, while algorithms focus on
7 min read
Quick Sort QuickSort is a sorting algorithm based on the Divide and Conquer that picks an element as a pivot and partitions the given array around the picked pivot by placing the pivot in its correct position in the sorted array. It works on the principle of divide and conquer, breaking down the problem into s
12 min read
Merge Sort - Data Structure and Algorithms Tutorials Merge sort is a popular sorting algorithm known for its efficiency and stability. It follows the divide-and-conquer approach. It works by recursively dividing the input array into two halves, recursively sorting the two halves and finally merging them back together to obtain the sorted array. Merge
14 min read
Data Structures Tutorial Data structures are the fundamental building blocks of computer programming. They define how data is organized, stored, and manipulated within a program. Understanding data structures is very important for developing efficient and effective algorithms. What is Data Structure?A data structure is a st
2 min read
Bubble Sort Algorithm Bubble Sort is the simplest sorting algorithm that works by repeatedly swapping the adjacent elements if they are in the wrong order. This algorithm is not suitable for large data sets as its average and worst-case time complexity are quite high.We sort the array using multiple passes. After the fir
8 min read
Breadth First Search or BFS for a Graph Given a undirected graph represented by an adjacency list adj, where each adj[i] represents the list of vertices connected to vertex i. Perform a Breadth First Search (BFS) traversal starting from vertex 0, visiting vertices from left to right according to the adjacency list, and return a list conta
15+ min read
Binary Search Algorithm - Iterative and Recursive Implementation Binary Search Algorithm is a searching algorithm used in a sorted array by repeatedly dividing the search interval in half. The idea of binary search is to use the information that the array is sorted and reduce the time complexity to O(log N). Binary Search AlgorithmConditions to apply Binary Searc
15 min read
Insertion Sort Algorithm Insertion sort is a simple sorting algorithm that works by iteratively inserting each element of an unsorted list into its correct position in a sorted portion of the list. It is like sorting playing cards in your hands. You split the cards into two groups: the sorted cards and the unsorted cards. T
9 min read
Array Data Structure Guide In this article, we introduce array, implementation in different popular languages, its basic operations and commonly seen problems / interview questions. An array stores items (in case of C/C++ and Java Primitive Arrays) or their references (in case of Python, JS, Java Non-Primitive) at contiguous
4 min read
Sorting Algorithms A Sorting Algorithm is used to rearrange a given array or list of elements in an order. For example, a given array [10, 20, 5, 2] becomes [2, 5, 10, 20] after sorting in increasing order and becomes [20, 10, 5, 2] after sorting in decreasing order. There exist different sorting algorithms for differ
3 min read