DFS Meaning and
Definition
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DFS stands for Depth-First Search. It is a widely used algorithm used to traverse or search graph or tree data structures. In DFS, the algorithm explores the deepest nodes first, before backtracking.
The DFS algorithm follows a simple approach: it starts at a given source node, explores as far as possible along each branch before backtracking. It uses a stack to keep track of the nodes that need to be visited. Here is how it works: starting from the source node, the algorithm marks it as visited and pushes it onto the stack. Then, it selects an adjacent unvisited node and visits it. This process continues until there are no unvisited adjacent nodes remaining. At this point, the algorithm backtracks by popping the last node from the stack and selects the next unvisited adjacent node for exploration. This process repeats until all nodes have been visited.
DFS is commonly used to solve various problems such as finding connected components, detecting cycles, finding paths, and determining if a graph is bipartite. It provides a systematic way to explore all reachable nodes from a particular node in a graph or tree.
Due to its nature of exploring deeply first, DFS has applications in maze solving, solving puzzles, and other graph-related problems where it is necessary to systematically explore all possible paths.
Common Misspellings for DFS
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