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What is the space complexity of Depth First Search (DFS) algorithm?

Delpha Murray ∙

Lvl 10

∙ 2mo ago

Updated: 2/8/2025

The space complexity of Depth First Search (DFS) algorithm is O(bd), where b is the branching factor and d is the maximum depth of the search tree.

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∙ 2mo ago

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Q: What is the space complexity of Depth First Search (DFS) algorithm?

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What is the space complexity of breadth first search algorithm?

The space complexity of the breadth-first search algorithm is O(V), where V is the number of vertices in the graph being traversed.

What is the space complexity of Breadth-First Search (BFS) algorithm?

The space complexity of the Breadth-First Search (BFS) algorithm is O(V), where V is the number of vertices in the graph being traversed.

What is the space complexity of the Breadth-First Search (BFS) algorithm?

The space complexity of the Breadth-First Search (BFS) algorithm is O(V), where V is the number of vertices in the graph being traversed.

What is the impact of DFS runtime on the efficiency of algorithm execution?

The runtime of Depth-First Search (DFS) can impact the efficiency of algorithm execution by affecting the speed at which the algorithm explores and traverses the search space. A longer runtime for DFS can lead to slower execution of the algorithm, potentially increasing the overall time complexity of the algorithm.

What is the runtime complexity of Breadth-First Search (BFS) algorithm?

The runtime complexity of the Breadth-First Search (BFS) algorithm is O(V E), where V is the number of vertices and E is the number of edges in the graph.

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Related Questions

What is the space complexity of breadth first search algorithm?

The space complexity of the breadth-first search algorithm is O(V), where V is the number of vertices in the graph being traversed.

What is the space complexity of Breadth-First Search (BFS) algorithm?

The space complexity of the Breadth-First Search (BFS) algorithm is O(V), where V is the number of vertices in the graph being traversed.

What is the space complexity of the Breadth-First Search (BFS) algorithm?

The space complexity of the Breadth-First Search (BFS) algorithm is O(V), where V is the number of vertices in the graph being traversed.

What is the impact of DFS runtime on the efficiency of algorithm execution?

The runtime of Depth-First Search (DFS) can impact the efficiency of algorithm execution by affecting the speed at which the algorithm explores and traverses the search space. A longer runtime for DFS can lead to slower execution of the algorithm, potentially increasing the overall time complexity of the algorithm.

What is the runtime complexity of Breadth-First Search (BFS) algorithm?

The runtime complexity of the Breadth-First Search (BFS) algorithm is O(V E), where V is the number of vertices and E is the number of edges in the graph.

An algorithm to find whether a directed graph is connected or not?

You can use a The Depth-First Search algorithm.

Give time complexity expression for depth first search?

O(# vertices + # edges)

How do you print all data in a Binary Search Tree?

By using Depth First Search or Breadth First search Tree traversal algorithm we can print data in Binary search tree.

What are the differences between depth-first and breadth-first search algorithms in terms of their approach to traversing a graph or tree structure?

Depth-first search algorithm explores as far as possible along each branch before backtracking, while breadth-first search algorithm explores all neighbors of a node before moving on to the next level.

What is the process of traversing a binary tree in a depth-first manner using the depth-first search algorithm?

Traversing a binary tree in a depth-first manner using the depth-first search algorithm involves visiting each node's children before moving on to the next level. This is done by starting at the root node, then recursively visiting the left child, then the right child, and continuing this pattern until all nodes have been visited.

How can the bipartite graph algorithm be implemented using depth-first search (DFS)?

The bipartite graph algorithm can be implemented using depth-first search (DFS) by assigning colors to each vertex as it is visited. If a vertex is visited and its neighbor has the same color, then the graph is not bipartite. If all vertices can be visited without any conflicts in colors, then the graph is bipartite.

What is the advantages of depth first search?

advantages of depth first search?

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