Download presentation

Presentation is loading. Please wait.

Published byAnderson Cultice Modified over 4 years ago

1
CSE 373 Data Structures and Algorithms Lecture 20: Graphs II

2
Implementing a Graph To program a graph data structure, what information would we need to store? For each vertex? For each edge? 2 1 2 3 4 5 6 7

3
Implementing a Graph What kinds of questions would we want to be able to answer (quickly?) about a graph G? Where is vertex v? Which vertices are adjacent to vertex v? What edges touch vertex v? What are the edges of G? What are the vertices of G? What is the degree of vertex v? 3 1 2 3 4 5 6 7

4
Graph Implementation Strategies Edge List Adjacency Matrix Adjacency List 4

5
Edge List 5 edge list: an unordered list of all edges in the graph * This is NOT an array 1 2 1 5 1 6 2 7 2 3 3 4 5 7 5 6 5 4 7 4 1 2 3 4 5 6 7

6
Edge List: Pros and Cons advantages easy to loop/iterate over all edges disadvantages hard to tell if an edge exists from A to B hard to tell how many edges a vertex touches (its degree) 6 1 2 1 5 1 6 2 7 2 3 3 4 5 7 5 6 5 4 7 4

7
Adjacency Matrix 7 adjacency matrix: an n × n matrix where: the nondiagonal entry a ij is the number of edges joining vertex i and vertex j (or the weight of the edge joining vertex i and vertex j) the diagonal entry a ii corresponds to the number of loops (self- connecting edges) at vertex i

8
Adjacency Matrix: Pros and Cons 8 advantages fast to tell whether edge exists between any two vertices i and j (and to get its weight) disadvantages consumes a lot of memory on sparse graphs (ones with few edges) redundant information for undirected graphs

9
Adjacency Matrix Example How do we figure out the degree of a given vertex? How do we find out whether an edge exists from A to B? How could we look for loops in the graph? 9 1 2 3 4 5 6 7 0 1 0 0 1 1 0 12345671234567 1 0 1 0 0 0 1 0 1 0 1 0 0 0 0 0 1 0 1 0 1 1 0 0 1 0 1 1 1 0 0 0 1 0 0 0 1 0 1 1 0 0 1 2 3 4 5 6 7

10
Adjacency Lists 10 adjacency list: stores edges as individual linked lists of references to each vertex's neighbors

11
Adjacency List: Pros and Cons 11 advantages: new nodes can be added easily new nodes can be connected with existing nodes easily "who are my neighbors" easily answered disadvantages: determining whether an edge exists between two nodes: O(average degree)

12
Adjacency List Example 12 How do we figure out the degree of a given vertex? How do we find out whether an edge exists from A to B? How could we look for loops in the graph? 1 2 3 4 5 6 7 12345671234567 256 317 24 375 6174 15 452

13
Runtime table 13 n vertices, m edges no parallel edges no self-loops Edge List Adjacency List Adjacency Matrix Space Finding all adjacent vertices to v Determining if v is adjacent to w adding a vertex adding an edge removing vertex v removing an edge n vertices, m edges no parallel edges no self-loops Edge List Adjacency List Adjacency Matrix Spacen + m n2n2 Finding all adjacent vertices to v mdeg(v)n Determining if v is adjacent to w mdeg(v)1 adding a vertex11n2n2 adding an edge to v111 removing vertex vmn?n?n2n2 removing an edge from vmdeg(v)1

14
Practical Implementation Not all graphs have vertices/edges that are easily "numbered How do we actually represent 'lists' or 'matrices' of vertex/edge relationships? How do we quickly look up the edges and/or vertices adjacent to a given vertex? 14 ORD PVD MIA DFW SFO LAX LGA HNL 849 802 1387 1743 1843 1099 1120 1233 337 2555 142

15
Practical Implementation Adjacency list Each Vertex maps to a List of edges Vertex List To get all edges adjacent to v 1, look up List neighbors = map.get(v 1 ) Adjacency map (adjacency matrix for objects) Each Vertex maps to a hashtable of adjacent vertices Vertex (Vertex Edge) To find out whether there's an edge from v 1 to v 2, call map.get(v 1 ).containsKey(v 2 ) To get the edge from v 1 to v 2, call map.get(v 1 ).get(v 2 ) 15

16
Implementing Graph with Adjacency List 16 public interface IGraph { public void addVertex(V v); public void addEdge(V v1, V v2, int weight); public boolean hasEdge(V v1, V v2); public Edge getEdge(V v1, V v2); public boolean hasPath(V v1, V v2); public List getDFSPath(V v1, V v2); public String toString(); }

17
Edge class 17 public class Edge { public V from, to; public int weight; public Edge(V from, V to, int weight) { if (from == null || to == null) { throw new IllegalArgumentException("null"); } this.from = from; this.to = to; this.weight = weight; } public String toString() { return " "; }

Similar presentations

OK

Shortest Paths and Dijkstra’s Algorithm CS 105. SSSP Slide 2 Single-source shortest paths Given a weighted graph G and a source vertex v in G, determine.

Shortest Paths and Dijkstra’s Algorithm CS 105. SSSP Slide 2 Single-source shortest paths Given a weighted graph G and a source vertex v in G, determine.

© 2018 SlidePlayer.com Inc.

All rights reserved.

To ensure the functioning of the site, we use **cookies**. We share information about your activities on the site with our partners and Google partners: social networks and companies engaged in advertising and web analytics. For more information, see the Privacy Policy and Google Privacy & Terms.
Your consent to our cookies if you continue to use this website.

Ads by Google

Ppt on column chromatography set Ppt on cloud computing in e-learning Ppt on wind storms and cyclones for class 7 Ppt on artificial intelligence for speech recognition Ppt on child labour in india Ppt on directors under companies act 1956 Download ppt on fundamental rights and duties of indian Ppt on m commerce Ppt on different types of forests in the us Field emission display ppt online