1631. Path With Minimum Effort

1631. Path With Minimum Effort You are a hiker preparing for an upcoming hike. You are given heights, a 2D array of size rows x columns, where heights[row][col] represents the height of cell (row, col). You are situated in the top-left cell, (0, 0), and you hope to travel to the bottom-right cell, (rows-1, columns-1) (i.e., 0-indexed). You can move up, down, left, or right, and you wish to find a route that requires the minimum effort....

<span title='2021-04-11 00:00:00 +0000 UTC'>April 11, 2021</span>&nbsp;·&nbsp;3 min&nbsp;·&nbsp;volyx

743. Network Delay Time

743. Network Delay Time You are given a network of n nodes, labeled from 1 to n. You are also given times, a list of travel times as directed edges times[i] = (ui, vi, wi), where ui is the source node, vi is the target node, and wi is the time it takes for a signal to travel from source to target. We will send a signal from a given node k....

<span title='2021-03-25 00:00:00 +0000 UTC'>March 25, 2021</span>&nbsp;·&nbsp;4 min&nbsp;·&nbsp;volyx

787. Cheapest Flights Within K Stops

787. Cheapest Flights Within K Stops There are n cities connected by m flights. Each flight starts from city u and arrives at v with a price w. Now given all the cities and flights, together with starting city src and the destination dst, your task is to find the cheapest price from src to dst with up to k stops. If there is no such route, output -1. 1 2 3 4 5 6 7 Example 1: Input: n = 3, edges = [[0,1,100],[1,2,100],[0,2,500]] src = 0, dst = 2, k = 1 Output: 200 Explanation: The graph looks like this: The cheapest price from city 0 to city 2 with at most 1 stop costs 200, as marked red in the picture....

<span title='2021-03-24 00:00:00 +0000 UTC'>March 24, 2021</span>&nbsp;·&nbsp;3 min&nbsp;·&nbsp;volyx