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* Identify dilations * Identify scale factors and use scale factors to solve problems * Write and simplify ratios * Use proportions to solve problems
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3. We will discuss 3 types of graphs >BASIC TERMINOLOGIES >REPRESENTATION OF GRAPH >OPERATIONS ON GRAPH 4. BASIC TERMINOLOGIES A directed graph G is defined as an ordered pair (V, E) where, V is a set of vertices and the ordered pairs in E are called edges on V. A directed graph can be represented geometrically as a set of marked points (called vertices) V with a set of arrows (called edges) E between pairs of points (or vertex or nodes) so that there is at most one arrow from one vertex to another vertex. 5. BASIC TERMINOLOGIES For example, Figure shows a directed graph, where G = {a, b, c, d }, {(a, b), (a, d), (d, b), (d, d), (c, c)} 6. which shows the distance in km between four metropolitan cities in India. Here V = {N, K, M, C,} E = {(N, K), (N,M,), (M,K), (M,C), (K,C)} We = {55,47, 39, 27, 113} and Wv = {N, K, M, C} The weight at the vertices is not necessary to maintain have become the set Wv and V are same. An undirected graph is said to be connected if there exist a path from any vertex to any other vertex. Otherwise it is said to be disconnected 7.shows the disconnected graph, where the vertex c is not connected to the graph 8.The graph is a mathematical structure and finds its application in many areas, where the problem is to be solved by computers. The problems related to graph G must be represented in computer memory using any suitable data structure to solve the same. There are two standard ways of maintaining a graph G in the memory of a computer. 9.Sequential representation of a graph using adjacent Linked representation of a graph using linked list 10.In this representation (also called adjacency list representation), we store a graph as a linked structure. First we store all the vertices of the graph in a list and then each adjacent vertices will be represented using linked list node. Here terminal vertex of an edge is stored in a structure node and linked to a corresponding initial vertex in the list 11.The weighted graph can be represented using a linked list by storing the corresponding weight along with the terminal vertex of the edge. Consider a weighted graph in Figure, it can be represented using a linked list as in Figure 12. Input the total number of vertices in the graph, say n Allocate the memory dynamically for the vertices to store in list array Input the first vertex and the vertices through which it has edge(s) by linking the node from list array through nodes. Repeat the process by incrementing the list array to add other vertices and edges. Exit. 13.Input an edge to be searched Search for an initial vertex of edge in list arrays by incrementing the array index. Once it is found, search through the link list for the terminal vertex of the edge. If found display “the edge is present in the graph”. Then delete the node where the terminal vertex is found and rearrange the link list. Exit
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3. We will discuss 3 types of graphs >BASIC TERMINOLOGIES >REPRESENTATION OF GRAPH >OPERATIONS ON GRAPH 4. BASIC TERMINOLOGIES A directed graph G is defined as an ordered pair (V, E) where, V is a set of vertices and the ordered pairs in E are called edges on V. A directed graph can be represented geometrically as a set of marked points (called vertices) V with a set of arrows (called edges) E between pairs of points (or vertex or nodes) so that there is at most one arrow from one vertex to another vertex. 5. BASIC TERMINOLOGIES For example, Figure shows a directed graph, where G = {a, b, c, d }, {(a, b), (a, d), (d, b), (d, d), (c, c)} 6. which shows the distance in km between four metropolitan cities in India. Here V = {N, K, M, C,} E = {(N, K), (N,M,), (M,K), (M,C), (K,C)} We = {55,47, 39, 27, 113} and Wv = {N, K, M, C} The weight at the vertices is not necessary to maintain have become the set Wv and V are same. An undirected graph is said to be connected if there exist a path from any vertex to any other vertex. Otherwise it is said to be disconnected 7.shows the disconnected graph, where the vertex c is not connected to the graph 8.The graph is a mathematical structure and finds its application in many areas, where the problem is to be solved by computers. The problems related to graph G must be represented in computer memory using any suitable data structure to solve the same. There are two standard ways of maintaining a graph G in the memory of a computer. 9.Sequential representation of a graph using adjacent Linked representation of a graph using linked list 10.In this representation (also called adjacency list representation), we store a graph as a linked structure. First we store all the vertices of the graph in a list and then each adjacent vertices will be represented using linked list node. Here terminal vertex of an edge is stored in a structure node and linked to a corresponding initial vertex in the list 11.The weighted graph can be represented using a linked list by storing the corresponding weight along with the terminal vertex of the edge. Consider a weighted graph in Figure, it can be represented using a linked list as in Figure 12. Input the total number of vertices in the graph, say n Allocate the memory dynamically for the vertices to store in list array Input the first vertex and the vertices through which it has edge(s) by linking the node from list array through nodes. Repeat the process by incrementing the list array to add other vertices and edges. Exit. 13.Input an edge to be searched Search for an initial vertex of edge in list arrays by incrementing the array index. Once it is found, search through the link list for the terminal vertex of the edge. If found display “the edge is present in the graph”. Then delete the node where the terminal vertex is found and rearrange the link list. Exit
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