All Paths From Source to Target | DFS & Backtracking | Python, Java & C++

In this video, we solve the All Paths From Source to Target problem using DFS and Backtracking and understand the approach in a simple and intuitive way. The goal is to find all possible paths from the source node to the target node in a directed acyclic graph (DAG). What you'll learn: What is the All Paths From Source to Target problem? How to explore all possible paths using DFS Why we maintain a path list How backtracking works Why we remove the last node after the DFS call How to store every valid path Step-by-step example Python, Java & C++ implementations Time and space complexity Complexity Time: O(2^V × V) in the worst case Space: O(V) for the recursion path, excluding the output This is an important Graph + DFS + Backtracking problem for understanding how to generate all possible paths in a graph. Rising Brain (DSA Sheet): https://www.risingbrain.org/sheet Connect with me here: LinkedIn –   / anjalikumari22   Instagram –   / rbanjali.codes   Twitter (X) – https://x.com/anjali1kumari?s=21