Cheapest Flights Within K Stops | DFS + Pruning | Leetcode скачать в хорошем качестве

Cheapest Flights Within K Stops | DFS + Pruning | Leetcode

This video explains a very important graph programming interview problem which is to find the minimum cost path from source to destination.This is a very typical shortest path problem and can be solved by using a variety of algorithms like Dijkstra, Floyd Warshall, Bellman Ford, BFS, DFS with memoization or pruning.In this question, we are allowed to have a maximum of K number of stops from source to destination.This is the only additional constraint.I have shown the simplest approach to solve this problem which is by using DFS + Pruning.I have first explained the intuition and then i have shown the working of the algorithm by taking an example.At the end of the video,i have also shown the code walk through. CODE LINK is present below as usual. If you find any difficulty or have any query then do COMMENT below. PLEASE help our channel by SUBSCRIBING and LIKE our video if you found it helpful...CYA :) ================================================================= INSTAGRAM:   / surya.pratap.k   LinkedIn:   / surya-pratap-kahar-47bb01168   ================================================================= CODE LINK: https://gist.github.com/SuryaPratapK/... SIMILAR PROBLEMs:- DFS:    • Depth first search | DFS | Depth first tra...   BFS:    • Breadth first search | BFS | Breadth first...