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- 1. GRAPH
- 2. GraphA graph G = (V,E) is composed of: V: set of vertices E: set of edges connecting the vertices in VAn edge e = (u,v) is a pair of verticesExample: a b V= {a,b,c,d,e} c E= {(a,b),(a,c), (a,d), (b,e),(c,d),(c,e), d e (d,e)}
- 3. Types• Graphs are generally classified as, Directed graph Undirected graph
- 4. Directed graph• A graphs G is called directed graph if each edge has a direction.
- 5. Un Directed graph• A graphs G is called directed graph if each edge has no direction.
- 6. Graph Terminology: Node Each element of a graph is called node of a graph Edge Line joining two nodes is called an edge. It is denoted by e=[u,v] where u and v are adjacent vertices. V1 e1 edge node V2 e2 V2
- 7. Adjacent and Incident If (v0, v1) is an edge in an undirected graph, v0 and v1 are adjacent The edge (v0, v1) is incident on vertices v0 and v1 If <v0, v1> is an edge in a directed graph v0 is adjacent to v1, and v1 is adjacent from v0 The edge <v0, v1> is incident on v0 and v1
- 8. Degree of a Vertex• The degree of a vertex is the number of edges incident to that vertex• For directed graph, • the in-degree of a vertex v is the number of edges that have v as the head • the out-degree of a vertex v is the number of edges that have v as the tail • if di is the degree of a vertex i in a graph G with n vertices and e edges, the number of edges is
- 9. Examples 0 3 2 0 1 2 3 3 3 1 2 3 3 4 5 6 31 G 1 1 G2 1 1 3 0 in:1, out: 1 directed graph in-degree out-degree 1 in: 1, out: 2 2 in: 1, out: 0 G3
- 10. Pathpath: sequence of 3 2vertices v1,v2,. . .vk suchthat consecutive vertices vi 3and vi+1 are adjacent. 3 3 a b a b c c d e d e abedc bedc 10
- 11. simple path: no repeated vertices a b bec c d ecycle: simple path, except that the last vertex is the same as thefirst vertex
- 12. •connected graph: any two vertices are connected by some path connected not connected subgraph: subset of vertices and edges forming a graph connected component: maximal connected subgraph. E.g., the graph below has 3 connected components.
- 13. Completed graph• A graph G is called complete, if every nodes are adjacent with other nodes. v1 v3 v2 v4
- 14. Graph Representations• Set representation• Sequential representation • Adjacency Matrix • Path Matrix• Linked list representation
- 15. Adjacency Matrix• Let G=(V,E) be a graph with n vertices.• The adjacency matrix of G is a two-dimensional n by n array, say adj_mat• If the edge (vi, vj) is in E(G), adj_mat[i][j]=1• If there is no such edge in E(G), adj_mat[i][j]=0• The adjacency matrix for an undirected graph is symmetric; the adjacency matrix for a digraph need not be symmetric
- 16. Examples for Adjacency Matrix 0 0 4 0 2 1 51 2 3 6 3 1 7 2 G2 G1 symmetric undirected: n2/2 directed: n2 G4
- 17. Merits of Adjacency Matrix• From the adjacency matrix, to determine the connection of vertices is easy• The degree of a vertex is• For a digraph (= directed graph), the row sum is the out_degree, while the column sum is the in_degree
- 18. The End.. THANK YOU

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