How to Solve Design Graph With Shortest Path Calculator Problem
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Design Graph With Shortest Path Calculator
There is a directed weighted graph that consists of n nodes numbered from 0 to n - 1. The edges of the graph are initially represented by the given array edges where edges[i] = [fromi, toi, edgeCosti]...
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Understanding the Design Graph With Shortest Path Calculator Problem
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Problem Statement
There is a directed weighted graph that consists of n nodes numbered from 0 to n - 1. The edges of the graph are initially represented by the given array edges where edges[i] = [fromi, toi, edgeCosti] meaning that there is an edge from fromi to toi with the cost edgeCosti. Implement the Graph class: Graph(int n, int[][] edges) initializes the object with n nodes and the given edges. addEdge(int[] edge) adds an edge to the list of edges where edge = [from, to, edgeCost]. It is guaranteed that there is no edge between the two nodes before adding this one. int shortestPath(int node1, int node2) returns the minimum cost of a path from node1 to node2. If no path exists, return -1. The cost of a path is the sum of the costs of the edges in the path.
Design Graph With Shortest Path Calculator
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Examples
Example inputExample outputConstraints
1 <= n <= 1000 <= edges.length <= n * (n - 1)edges[i].length == edge.length == 30 <= fromi, toi, from, to, node1, node2 <= n - 11 <= edgeCosti, edgeCost <= 106There are no repeated edges and no self-loops in the graph at any point.At most 100 calls will be made for addEdge.At most 100 calls will be made for shortestPath.How Interview Coder Helps with Leetcode Problems
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