How to Solve All Paths From Source to Target Problem
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All Paths From Source to Target
Given a directed acyclic graph (DAG) of n nodes labeled from 0 to n - 1, find all possible paths from node 0 to node n - 1 and return them in any order. The graph is given as follows: graph[i] is a li...
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Understanding the All Paths From Source to Target Problem
Let's break down this LeetCode problem and understand what makes it challenging in interview settings.
Problem Statement
Given a directed acyclic graph (DAG) of n nodes labeled from 0 to n - 1, find all possible paths from node 0 to node n - 1 and return them in any order. The graph is given as follows: graph[i] is a list of all nodes you can visit from node i (i.e., there is a directed edge from node i to node graph[i][j]).
All Paths From Source to Target
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How Interview Coder Helps
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Examples
graph = [[1,2],[3],[3],[]][[0,1,3],[0,2,3]]There are two paths: 0 -> 1 -> 3 and 0 -> 2 -> 3.
graph = [[4,3,1],[3,2,4],[3],[4],[]][[0,4],[0,3,4],[0,1,3,4],[0,1,2,3,4],[0,1,4]]Constraints
n == graph.length2 <= n <= 150 <= graph[i][j] < ngraph[i][j] != i (i.e., there will be no self-loops).All the elements of graph[i] are unique.The input graph is guaranteed to be a DAG.How Interview Coder Helps with Leetcode Problems
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Frequently Asked Questions
Common questions about solving All Paths From Source to Target and using Interview Coder during coding interviews.
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