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How many faces edges and vertices does a star have?
It has 10 vertices, 10 edges, and 0 faces.
How many vertices and edges does a hexagon have?
6 of each.
How many faces vertices and edges does a pentahedron have?
In geometry, a pentahedron is a polyhedron with five faces. That can either be a square pyramid with 5 vertices, 8 edges and 5 faces or a triangular prism with 6 vertices, 9 edges and 5 faces.
What are the parts of a square?
The parts of a square are the vertices or corners and the edges. There are four of each.
How many faces vertices and edges does a tube have?
A tube is a type of cylinder, which has two circular faces, one at each end. It also has three edges - two circular edges around the faces and one curved edge around the side. A tube has no vertices, as vertices are defined as the points where edges meet, and a tube's edges do not meet at any points.
What is the largest number of vertices in a graph with 35 edges if all vertices are?
36 vertices if all of them are or order two except one at each end.
What is the largest number of vertices in a graph with 35 edges is all vertices are of degree at least 3?
In a graph, the sum of the degrees of all vertices is equal to twice the number of edges. This is known as the Handshaking Lemma. Therefore, if all vertices in a graph with 35 edges have a degree of at least 3, the sum of the degrees of all vertices must be at least 3 times the number of vertices. Since each edge contributes 2 to the sum of degrees, we have 2 * 35 = 3 * V, where V is the number of vertices. Solving for V, we get V = 70/3 = 23.33. Since the number of vertices must be a whole number, the largest possible number of vertices in this graph is 23.
A simple graph with n vertices and k components can have atmost how many edges?
In a connected component of a graph with Mi vertices, the maximum number of edges is MiC2 or Mi(Mi-1)/2. So if we have k components and each component has Mi vertices then the maximum number of edges for the graph is M1C2+M2C2+...+MKC2. Of course the sum of Mi as i goes from 1 to k must be n since the sum of the vertices in each component is the sum of all the vertices in the graph which you gave as n. Where MC2 means choose 2 from M and there are M(M-1)/2 ways to do that.
How can i use a graph to find the number of vertices in a octagonal pyramid?
To find the number of vertices in an octagonal pyramid using a graph, you can represent the pyramid as a 3D shape with vertices, edges, and faces. An octagonal pyramid has 8 vertices, one at the top (apex) and 8 at the base. You can also draw a graph with each vertex representing a corner of the pyramid and each edge representing a line connecting two vertices. By counting the number of vertices in the graph representation, you can determine that an octagonal pyramid has a total of 9 vertices.
What is the definition of circuit in math?
Circuit is a term often used in graph theory. Here is how it is defined: A simple circuit on n vertices, Cn is a connected graph with n vertices x1, x2,..., xn, each of which has degree 2, with xi adjacent to xi+1 for i=1,2,...,n-1 and xn adjacent to x1. Simple means no loops or multiple edges.
What is the role of the vertex cover greedy algorithm in optimizing the selection of vertices to form a minimum vertex cover in a graph?
The vertex cover greedy algorithm helps in selecting the minimum number of vertices in a graph to cover all edges. It works by choosing vertices that cover the most uncovered edges at each step, leading to an efficient way to find a minimum vertex cover.
What is dense graph and sparse graph?
Sparse vs. Dense GraphsInformally, a graph with relatively few edges is sparse, and a graph with many edges is dense. The following definition defines precisely what we mean when we say that a graph ``has relatively few edges'': Definition (Sparse Graph) A sparse graph is a graph in which .For example, consider a graph with n nodes. Suppose that the out-degree of each vertex in G is some fixed constant k. Graph G is a sparse graph because .A graph that is not sparse is said to be dense:Definition (Dense Graph) A dense graph is a graph in which .For example, consider a graph with n nodes. Suppose that the out-degree of each vertex in G is some fraction fof n, . E.g., if n=16 and f=0.25, the out-degree of each node is 4. Graph G is a dense graph because .
How many faces edges and vertices does a star have?
It has 10 vertices, 10 edges, and 0 faces.
What is the adjacency list representation of a directed graph?
In a directed graph, the adjacency list representation is a data structure that stores each vertex and its outgoing edges in a list. Each vertex is associated with a list of its neighboring vertices that it has an edge pointing towards. This representation is commonly used to efficiently store and retrieve information about the connections between vertices in a directed graph.
Cube route of 90?
Each one of a cube's vertices has a valency of 3. The graph of its edges is therefore non-Eulerian and so it is not possible to have a cube route.
How does the concept of a vertex cover relate to the existence of a Hamiltonian cycle in a graph?
In graph theory, a vertex cover is a set of vertices that covers all edges in a graph. The concept of a vertex cover is related to the existence of a Hamiltonian cycle in a graph because if a graph has a Hamiltonian cycle, then its vertex cover must include at least two vertices from each edge in the cycle. This is because a Hamiltonian cycle visits each vertex exactly once, so the vertices in the cycle must be covered by the vertex cover. Conversely, if a graph has a vertex cover that includes at least two vertices from each edge, it may indicate the potential existence of a Hamiltonian cycle in the graph.
What are the key characteristics and applications of an adjacency list graph?
An adjacency list graph is a data structure that represents connections between vertices in a graph. It is efficient for sparse graphs with fewer edges. Each vertex is stored with a list of its neighboring vertices, making it easy to find adjacent vertices and traverse the graph. This data structure is commonly used in algorithms like depth-first search and breadth-first search.
