It is a true statement.
A Bayesian network is a directed acyclic graph whose vertices represent random variables and whose directed edges represent conditional dependencies.
I believe that such an object cannot exist in normal 3-d space. If there are 6 vertices, the maximum number of edges is 12.
No, it is the other way around. The total number of edges is twice the number of edges on the base.
no. of edges on a icosahedron are 30
n-1
n * (n - 1) / 2 That would ignore the "acyclic" part of the question. An acyclic graph with the maximum number of edges is a tree. The correct answer is n-1 edges.
V*(V-1)/2
It is a true statement.
The term "cyclic graph" is not well-defined. If you mean a graph that is not acyclic, then the answer is 3. That would be the union of a complete graph on 3 vertices and any number of isolated vertices. If you mean a graph that is (isomorphic to) a cycle, then the answer is n. If you are really asking the maximum number of edges, then that would be the triangle numbers such as n (n-1) /2.
A Bayesian network is a directed acyclic graph whose vertices represent random variables and whose directed edges represent conditional dependencies.
I believe that such an object cannot exist in normal 3-d space. If there are 6 vertices, the maximum number of edges is 12.
The total number of edges is three times the number of edges on the base.The total number of edges is three times the number of edges on the base.The total number of edges is three times the number of edges on the base.The total number of edges is three times the number of edges on the base.
No, it is the other way around. The total number of edges is twice the number of edges on the base.
A die had 12 edges. The number of edges that dice have will depend on the number of dice!
Let G be a complete graph with n vertices. Consider the case where n=2. With only 2 vertices it is clear that there will only be one edge. Now add one more vertex to get n = 3. We must now add edges between the two old vertices and the new one for a total of 3 vertices. We see that adding a vertex to a graph with n vertices gives us n more edges. We get the following sequence Edges on a graph with n vertices: 0+1+2+3+4+5+...+n-1. Adding this to itself and dividing by two yields the following formula for the number of edges on a complete graph with n vertices: n(n-1)/2.
17 edges * * * * * No. A cuboid has 12 edges.