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.
Yes, finding the longest path in a graph is an NP-complete problem.
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.
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.
The complexity of solving the k-color problem on a given graph is NP-complete.
No, not every possible minimal spanning tree of a given graph has an identical number of edges.
Use a simple DFS/BFS traversal. If you have gone through all nodes, the graph is connected.
Yes, finding the longest path in a graph is an NP-complete problem.
In simple terms a bar graph.
If all the vertices and edges of a graph A are in graph B then graph A is a sub graph of B.
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.
The solubility graph shows how much of a solute will dissolve in a given solvent at a given temperature.
Two foci's are found on a hyperbola graph.
You cannot, necessarily. Given a graph of the tan function, you could not.
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.
Creating a line graph is a simple thing to do. If you have two points, you can create a line graph.
simple graph is a graph without self loop and parallel edges
The answer depends on what the graph is of!