COSC 222: Data Structures
【COSC 222: Data Structures】COSC 222: Data Structures
Lab 7 – Graphs
Question 1 [8 marks]: Question 1 does not require coding. You will need to submit a PDF file with your
answers. This can be handwritten and scanned, drawn on a tablet, or created using a diagramming program
and word processor. Name your file Lab7Question1.pdf.
A. Prim’s Algorithm [4 marks]: Apply Prim's algorithm on the graph to construct a minimum
spanning tree starting with vertex A. If there are any ties, the vertex with the lower letter comes first
(for an example, unvisited vertex ‘B’ should come before another unvisited vertex ‘C’). Write the
vertices and edges in the order in which they are added to the tree. Also, include the total cost to
span the tree. Show each step (feel free to use graphs.docx file for showing each step).
B. Kruskal’s algorithm [4 marks]: Step through Kruskal’s algorithm (covered in lecture 14) to
calculate a minimum spanning tree of the graph. If you can select two edges with the same weight,
select the edge that would come alphabetically first (e.g., select (B, C) before (E, F) or (A, B) before
(A, F). Also, when representing an edge, arrange two letters in alphabetical order, e.g., use (C, E)
instead of (E, C). List the edges in the order in which they are added to the tree. Also, include the
total cost to span the tree. Show each step (feel free to use graphs.docx file for showing each step).
Question 2 (Graph Representation): Adjacency Matrices and Lists [10 marks]
While we typically visualize graphs as interconnected webs of nodes, graphs in code are typically
represented in 2 ways: adjacency matrices and adjacency lists. These three formats are shown below
in Figures 1-3.
In this question, you will write a program which will create a graph and then print it as both an
adjacency matrix and as an adjacency list. You will need the following files: Graph.java and
GraphTest.java.
First review GraphTest.java. You do not need to change anything in this file. Notice the method
randomMatrix() in particular. This method generates a random double-array of integers, with the
size given, representing the adjacency matrix of a graph. This random double array is then taken as
the only argument for the Graph constructor. Your task is to complete all of the necessary methods
within the Graph.java file.
Part A [5 marks]:
Graph() and generateAdjList(): First write the constructor of the graph. This constructor takes
in the adjacency matrix (int[][]) as its only argument. It then initializes the Graph (i.e., initialize the
values of numVertices and adjMatrix). You should also call generateAdjList() from the
constructor. This method takes no arguments, but uses the data in the newly saved adjMatrix to
populate the adjListArray.
Note: Please use Java’s default LinkedList class. Here is a sample code showing how to add four
number into an array of LinkedList. If you prefer to use a list instead of an array, feel free to make
corresponding changes in the code.
import java.util.LinkedList;
... ... ...
int n = 2;
//Array size 2
LinkedList
arrayLinkedList[0] = new LinkedList
arrayLinkedList[1] = new LinkedList
arrayLinkedList[0].add(101);
//Add 101 and 102 to arrayLinkedList[0]
arrayLinkedList[0].add(102);
arrayLinkedList[1].add(201);
//Add 201 and 202 to arrayLinkedList[1]
arrayLinkedList[1].add(202);
for (int i = 0;
i < n;
i++) { //Showing the elements with get() method, you can also
for (int j = 0;
j < arrayLinkedList[i].size();
j++) { //use for-each loop
System.out.print(arrayLinkedList[i].get(j) + " ");
}
System.out.println();
}
Output:
101 102
201 202
Part B [2 marks]:
printMatrix(): This method takes no arguments, but prints the adjacency matrix (adjMatrix) in
the format shown below. Note that since the graphs are randomly generated, the values will not be
identical to the output shown.
Part C [3 marks]:
printList(): This method takes no arguments, and prints the adjacency list (adjListArray) in
the format shown below. Note that since the graphs are randomly generated, the values will not be
identical to the output shown.
Practicing drawing the graphs generated by randomMatrix() may be a good exercise for your
exam. Try drawing the graphs first by looking at either the matrix or the adjacency list and then
checking from the other.
Sample Output:
Graph 1:
Adjacency matrix (4 nodes):
0 1 1 1
0 0 0 1
0 0 0 1
1 0 1 0
Adjacency list of vertex 0: 1, 2, 3
Adjacency list of vertex 1: 3
Adjacency list of vertex 2: 3
Adjacency list of vertex 3: 0, 2
Graph 2:
Adjacency matrix (7 nodes):
0 0 1 0 0 0 1
0 0 1 1 1 1 1
0 1 0 0 0 1 0
1 0 1 0 0 1 1
0 1 1 1 0 1 1
0 0 1 1 1 0 0
0 0 0 0 1 0 0
Adjacency list of vertex 0: 2, 6
Adjacency list of vertex 1: 2, 3, 4, 5, 6
Adjacency list of vertex 2: 1, 5
Adjacency list of vertex 3: 0, 2, 5, 6
Adjacency list of vertex 4: 1, 2, 3, 5, 6
Adjacency list of vertex 5: 2, 3, 4
Adjacency list of vertex 6: 4
Question 3 (DFS): Count Starting Nodes [2 + 3 (bonus) marks]
This question asks that you write a program which will take an undirected graph and visit all the
vertices using a Depth-First Search (DFS). However, with some graphs it is not possible to reach
every vertex from one starting vertex (i.e. a disconnected graph). Therefore, you may need to select
more than one starting vertex to complete the graph traversal.
Begin with the files DFSGraph.java and DFSTest.java. In DFSTest.java, one of several unique
graphs is generated. Then two methods from the DFSGraph.java class are called, which you will
need to complete.
Part A [2 mark]:
printList(): This method prints out the graph in an adjacency-list format. You may adapt your
printList() method from Question 2.
Part B [3 marks (BONUS)]:
countStartingNodes(): This method finds the number of vertices that need to be selected as
starting vertices to traverse the entire graph. Check Lecture 12 slide 24. For the left graph, we can
select one vertex and traverse the entire graph. However, for the right graph, you need to select
minimum two vertices to traverse the entire graph. Note that you must select vertices in ascending
order (i.e. you must try starting from vertex 1 before trying vertex 2). Hint: you may want to use a
boolean flag to keep track of which vertices have already been visited.
Within this method, you should call DFS(). This method traverses the graph from the given starting
vertex, maintaining a record of which nodes have been visited. Recursion should be used with this
method. Note that you may wish to change the return type.
When the traversal has been completed, countStartingNodes() should print the number of
starting vertices selected and a list of the selected vertices.
If you complete these methods correctly, you should see the following output when testing your
program with the provided graph0 matrix.
Sample Output:
Adjacency list of vertex 0: 1
Adjacency list of vertex 1: 0, 2
Adjacency list of vertex 2: 1
Adjacency list of vertex 3: No vertex found
You can traverse the entire graph by selecting 2 vertices
Starting vertices are: 0 3
Submission Instructions:
● Create a folder called “Lab7_” whereis your student
number/ID (e.g. Lab7_12345678). Only include the mentioned java files in the folder. DO
NOT include any other files (e.g., .class, .java~ or any other files)
o For Question 1, include a pdf file your Lab7Question1.pdf file.
o For Question 2, include your Graph.java file.
o For Question 3, include your DFSGraph.java file.
● Make a zip file of the folder and upload it to Canvas.
● To be eligible to earn full marks, your Java programs must compile and run upon
download, without requiring any modifications.
● These assignments are your chance to learn the material for the exams. Code your
assignments independently.
推荐阅读
- 数据库总结语句
- vue组件中为何data必须是一个函数()
- R|R for data Science(六)(readr 进行数据导入)
- Day1魔鬼讲师训练营逐字稿(20201222)
- 运行报错Cannot|运行报错Cannot find module '@babel/compat-data/corejs3-shipped-proposals’
- 用c#转换word或excel文档为html文件|用c#转换word或excel文档为html文件,C#实现DataSet内数据转化为Excel和Word文件的通用类完整实例...
- 澳洲国立大学|澳洲国立大学 COMP6240 Relational Databases 笔记
- springmvc|springmvc 集成 Spring Data Elasticsearch 遇到的坑
- FormData加axios实现图片上传(多图)
- DataBinding入门进阶指南(一)