This DFS Pattern Solves So Many Graph Problems
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YouTubeSoupzzz
This DFS Pattern Solves So Many Graph Problems
In this video, I walk through a clean and intuitive DFS solution to LeetCode 797: All Paths From Source to Target. We break the problem down by modeling it as a directed graph, then use depth-first search to explore every possible path from the source node to the target. Along the way, I explain how path tracking works, why copying the path ...
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Directed graph Examples
2. (5 points) Let G be a directed graph represented using an adjacency list. So, each node G[i] has a list of all nodes reachable in 1 step from i (all out-neighbors of i). Suppose each node of G also has a value: e.g., node 1 might have value 100, node 2 might have value50, etc. Give an O(|E| |V| log |V|) time algorithm that computes, for every node, the highest value reachable from that node (i.e., that you can get to by some path from that node). For instance, if it is possible to get to an
2. (5 points) Let G be a directed graph represented using an adjacency list. So, each node G[i] has a list of all nodes reachable in 1 step from i (all out-neighbors of i). Suppose each node of G also has a value: e.g., node 1 might have value 100, node 2 might have value50, etc. Give an O(|E| |V| log |V|) time algorithm that computes, for every node, the highest value reachable from that node (i.e., that you can get to by some path from that node). For instance, if it is possible to get to an
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