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Q: How to find the longest path in a graph?
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Related questions

Is finding the longest path in a graph an NP-complete problem?

Yes, finding the longest path in a graph is an NP-complete problem.


What is the longest simple path that can be found in a given graph?

The longest simple path in a graph is the path that does not repeat any vertices and has the most number of edges between two distinct vertices.


What is the longest path in a Directed Acyclic Graph (DAG)?

In a Directed Acyclic Graph (DAG), the longest path is the path with the greatest number of edges between two vertices, without forming a cycle.


What is the longest path in a directed acyclic graph?

The longest path in a directed acyclic graph is the path with the greatest total weight or distance between two vertices, without repeating any vertices or going in a cycle.


When does Dijkstra's algorithm fail to find the shortest path in a graph?

Dijkstra's algorithm fails to find the shortest path in a graph when the graph has negative edge weights.


What is the algorithm to find the longest increasing path in a matrix?

The algorithm to find the longest increasing path in a matrix is called the Longest Increasing Path in a Matrix (LIP) algorithm. It involves using dynamic programming to recursively search for the longest increasing path starting from each cell in the matrix. The algorithm keeps track of the length of the longest increasing path found so far and updates it as it explores different paths.


What is the most efficient way to find the shortest path in a directed acyclic graph?

One efficient way to find the shortest path in a directed acyclic graph is to use a topological sorting algorithm, such as the topological sort algorithm. This algorithm can help identify the order in which the nodes should be visited to find the shortest path from a starting node to a destination node. By following the topological order and calculating the shortest path for each node, you can determine the overall shortest path in the graph.


What is a hamiltonian path in a graph?

A Hamiltonian path in a graph is a path that visits every vertex exactly once. It does not need to visit every edge, only every vertex. If a Hamiltonian path exists in a graph, the graph is called a Hamiltonian graph.


How does the Union Find data structure with path compression improve the efficiency of finding the connected components in a graph?

The Union Find data structure with path compression improves efficiency by reducing the time it takes to find connected components in a graph. Path compression optimizes the structure by making the paths shorter, which speeds up the process of finding connected components.


What is the shortest path in an undirected graph?

The shortest path in an undirected graph is the path between two vertices that has the smallest total sum of edge weights.


What is the minimum weight path in a directed graph?

The minimum weight path in a directed graph is the path with the smallest total weight among all possible paths from a starting point to an ending point in the graph.


What is the process for finding the longest path in a tree structure?

To find the longest path in a tree structure, you can use a depth-first search algorithm. Start at any node and traverse the tree, keeping track of the distance from the starting node to each node. The longest path will be the one with the greatest distance between two nodes.