- Data Structure
- Networking
- RDBMS
- Operating System
- Java
- MS Excel
- iOS
- HTML
- CSS
- Android
- Python
- C Programming
- C++
- C#
- MongoDB
- MySQL
- Javascript
- PHP
- Physics
- Chemistry
- Biology
- Mathematics
- English
- Economics
- Psychology
- Social Studies
- Fashion Studies
- Legal Studies
- Selected Reading
- UPSC IAS Exams Notes
- Developer's Best Practices
- Questions and Answers
- Effective Resume Writing
- HR Interview Questions
- Computer Glossary
- Who is Who
Largest Sum Contiguous Subarray
An array of integers is given. We have to find the sum of all elements which are contiguous, whose sum is largest, that will be sent as output.
Using dynamic programming we will store the maximum sum up to current term. It will help to find the sum for contiguous elements in the array.
Input and Output
Input: An array of integers. {-2, -3, 4, -1, -2, 1, 5, -3} Output: Maximum Sum of the Subarray is: 7
Algorithm
maxSum(array, n)
Input − The main array, the size of the array.
Output − maximum sum.
Begin tempMax := array[0] currentMax = tempMax for i := 1 to n-1, do currentMax = maximum of (array[i] and currentMax+array[i]) tempMax = maximum of (currentMax and tempMax) done return tempMax End
Example
#include<iostream> using namespace std; int maxSum( int arr[], int n) { int tempMax = arr[0]; int currentMax = tempMax; for (int i = 1; i < n; i++ ) { //find the max value currentMax = max(arr[i], currentMax+arr[i]); tempMax = max(tempMax, currentMax); } return tempMax; } int main() { int arr[] = {-2, -3, 4, -1, -2, 1, 5, -3}; int n = 8; cout << "Maximum Sum of the Sub-array is: "<< maxSum( arr, n ); }
Output
Maximum Sum of the Sub-array is: 7
Advertisements
To Continue Learning Please Login
Login with Google