• Skip to primary navigation
  • Skip to content
  • Skip to primary sidebar
  • Skip to secondary sidebar

GoHired

Interview Questions asked in Google, Microsoft, Amazon

Join WeekEnd Online Batch from 4-April-2020 on How to Crack Coding Interview in Just 10 Weeks : Fees just 20,000 INR

  • Home
  • Best Java Books
  • Algorithm
  • Internship
  • Certificates
  • About Us
  • Contact Us
  • Privacy Policy
  • Array
  • Stack
  • Queue
  • LinkedList
  • DP
  • Strings
  • Tree
  • Mathametical
  • Puzzles
  • Graph

Find shortest distances between every pair of vertices ( Dynamic Programming Floyd Warshall Algorithm)

February 23, 2018 by Dhaval Dave

Find shortest distances between every pair of vertices in a given edge weighted directed Graph.

Input:
The first line of input contains an integer T denoting the no of test cases . Then T test cases follow . The first line of each test case contains an integer V denoting the size of the adjacency matrix  and in the next line are V*V space separated values of the matrix (graph) .

Output:
For each test case output will be V*V space separated integers where the i-jth integer denote the shortest distance of ith vertex from jth vertex.

Constraints:
1<=T<=20
1<=V<=20
-1000<=graph[][]<=1000

Example:
Input

2
2
0 25 25 0
3
0 1 43 1 0 6 43 6 0

Output
0 25 25 0
0 1 7 1 0 6 7 6 0

Explanation : –

To Find shortest distances between every pair of vertices We first initialize the solution matrix same as the input graph matrix as a first step. Then we update the solution matrix by considering all vertices as an intermediate vertex. The idea is to one by one pick all vertices and update all shortest paths which include the picked vertex as an intermediate vertex in the shortest path. When we pick vertex number k as an intermediate vertex, we already have considered vertices {0, 1, 2, .. k-1} as intermediate vertices. For every pair (i, j) of source and destination vertices respectively, there are two possible cases.
All steps are explained in below images.
1) k is not an intermediate vertex in shortest path from i to j. We keep the value of dist[i][j] as it is.
2) k is an intermediate vertex in shortest path from i to j. We update the value of dist[i][j] as dist[i][k] + dist[k][j].

Code(C++) To Find shortest distances between every pair of vertices : –

#include <stdio.h>
#define ll long long
using namespace std;

int main() {
        ll t;
        cin >> t;
        while (t--) {
            ll m;
            cin >> m;
            ll dist[m][m];
            for (ll i = 0; i < m; i++)
                for (ll j = 0; j > dist[i][j];

                    for (ll k = 0; k < m; k++)
                        for (ll i = 0; i < m; i++)
                            for (ll j = 0; j < m; j++) {
                                if (dist[i][k] + dist[k][j] < dist[i][j])
                                    dist[i][j] = dist[i][k] + dist[k][j];
                            }

                    for (ll i = 0; i < m; i++)
                        for (ll j = 0; j < m; j++)
                            cout << dist[i][j] << " "; cout << "\n";
                }
            return 0;
        }

Similar Articles

Filed Under: Amazon Interview Question, Graph, Microsoft Interview Questions Tagged With: Dynamic Programming, Graph

Reader Interactions

Primary Sidebar

Join WeekEnd Online/Offline Batch from 4-April-2020 on How to Crack Coding Interview in Just 10 Weeks : Fees just 20,000 INR

Join WeekEnd Online/Offline Batch from 4-April-2020

WhatsApp us

Secondary Sidebar

Custom Search

  • How I cracked AMAZON
  • LeetCode
  • Adobe
  • Amazon
  • Facebook
  • Microsoft
  • Hacker Earth
  • CSE Interview

Top Rated Questions

Given a sorted array and a number x, find the pair in array whose sum is closest to x

DFS (Depth First Search)

Generate largest number arranging a no. of given non negative integer numbers

FizzBuzz Solution C C++

Memory Efficient LinkedList

System Design: Designing a LLD for Hotel Booking

Length of the longest substring without repeating characters

robot standing at first cell of an M*N matrix. It can move only in two directions, right and down. In how many ways, it can reach to the last cell i.e. (M, N) Code it

Handle duplicates in Binary Search Tree

Advanced SQL Injection

VMWare Openings

Find min element in Sorted Rotated Array (Without Duplicates)

Python String and numbers

Find if two rectangles overlap

Cisco Hiring Event 21st – 22nd Feb 2015

Possible sizes of bus to carry n groups of friends

Check Binary Tree is Binary Search Tree or not

Print vertical sum of all the axis in the given binary tree

Diagonal Traversal of Binary Tree

Circular Linked List

Apriori algorithm C Code Data Mining

Linked List V/S Binary Search Tree

Edit Distance ( Dynamic Programming )

SAP Off Campus Hiring_ March 2015 Verbal Skills

LeetCode: Container With Most Water

Find the number ABCD such that when multipled by 4 gives DCBA.

Leetcode: Edit Distance

Check a String is SUBSEQUENCE of another String Find Minimum length for that ( DNA Matching )

Maximum of all subarrays of size k

Max Sum in circularly situated Values

Copyright © 2026 · Genesis Framework · WordPress · Log in