CHC5223代写、代写Java编程语言

日期：2023-05-23 09:07

CHC5223 Data Structures and Algorithms 2022–2023 Semester 2

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Assignment 2

Value 65% of coursework: Part A is 35% and Part B is 30%

Individual work

Learning outcomes

Students will be able to understand

1.1 Data structures

1.2 The applications of data structures

1.3 Object-oriented programming concepts

1.4 Methods for program testing

Students will have acquired skills in:

2.1 Data abstraction

2.2 The use of data structures

2.3 Programming at a more advanced level in a high-level object-oriented language

2.4 Program testing and documentation

Students will have acquired skills in:

3.1 Self-management

3.2 Learning

3.3 Communication

3.4 Problem solving

3.5 Information technology

Process and what submit to Student Website

The assignment submitted should compressed into a .zip file, the following files should be

contained in the compressed file：

? a report as a Microsoft Word document containing text of all your classes.

filename format: 12345678_CHC5223_CW2_Report.docx

? a .zip file containing the project: the runnable jar file (if available) and all the program’s

source texts (.java), including those provided

filename format: 12345678_CHC5223_ CW2_Files.zip

Part A – binary search tree

General requirements

All your programming must conform to “Java Conventions and Programming Guidelines” – see

module Moodle site.

You must paste the source code of all your classes into your report, as text or images.

Introduction

The topic of this part of the assignment is binary search trees.

The interface IMemberDB describes methods for an abstract data type (ADT) which holds a

database of Member objects.

You must implement IMemberDB as a binary search tree for Assignment 2.

You must not make any changes to these interfaces.

CHC5223 Data Structures and Algorithms 2022–2023 Semester 2

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Requirements

Task 1

You must create a Java class called MemberBST that implements the interface IMemberDB.

You must use a binary search tree but it does not need to be self-balancing.

You must not encapsulate existing implementations of collections in your submission. For

example, you must not create a TreeMap object and call methods on that object from your class.

Failure to comply with this will result in zero marks for that part.

Tip: use String.compareTo to compare strings lexicographically. You can treat uppercase and

lowercase as different. (Hash codes have no place in this assignment.)

Methods can be implemented either iteratively or recursively. You must not implement the

method remove by just building a new tree.

You may make use of the supplied source text for the method remove, based on Object-Oriented

Programming in Oberon-2, Hanspeter M?ssenb?ck Springer-Verlag 1993, page 78, transcribed

into Java by David Lightfoot (see Appendix).

The constructor for MemberBST must print the string “Binary Search Tree” to System.out.

Take care that you have not used a linear search O(n) where you should have used a binary

search tree, aiming towards O(logn).

12 marks

Task 2

You must make appropriate use of assertions (assert statements) to protect preconditions of the

operations. Remember to enable assertion checking for your project.

2 marks

Task 3

You must make your class log monitoring information, either to a text file or by calls of

System.out.println.

It must log (at least):

? for every addition of a Member (put), for every get the Member(get), for every deletion

of a Member(remove):

o the Member name;

o the sequence of nodes of the tree visited.

? Paste your log into your report.

6 marks

We have supplied a main program CHC5223.java for your use with this assignment.

The name of the file is set in the static variable filename.

Sample files sampleMembersUK.csv and sampleMembersUS.csv each contain 500 members in

this format.

CHC5223 Data Structures and Algorithms 2022–2023 Semester 2

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Task 4

You must devise a test plan for your implementation. Be sure to check (among many other

cases).

? that deleting a leaf node works correctly

? that deleting a node with one descendant works correctly

? that deleting a node with two descendants works correctly

5 marks

Task 5

By using the supplied main program, or by other means, you must test your MemberBST.

Include your test plan, test data used, expected results and actual results in your report. You

must show your actual results and the logging information copied from your log file or the

output pane of your IDE. Do not simply state “test passed”, or similar – show evidence

6 marks

Task 6

You must state honestly which of the requirements of Assignment 2 you have successfully

fulfilled, citing evidence. Also, comment on the time efficiency and space efficiency of your

implementation of the binary search tree.

4 marks

total 35 marks

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Part B – graphs and pathfinding

The topic of this part of Assignment 2 is graphs and pathfinding.

General requirements

All your programming must conform to “Java Conventions and Programming Guidelines”.

You must paste the source code of all your classes into your report, as text, not images.

You must implement all necessary data structures using only arrays

When programming in Java it is usual to make use of collection classes from the Java class library.

However, if you need to program in some other language such classes, or their equivalents, will

not necessarily be available.

Task 1

Find or devise a transport network – it need not be real, but it must be realistic. It must be an

undirected, connected graph, with no loops. It must have at least eight nodes.

Each node should have a name (with no spaces in it) and x and y positions (0 ? x < 256 and

0 ? y < 256) indicating the approximate position of the node on a map with a 256 × 256 grid (y

increasing downwards).

The links must contain information about the distance between the nodes it connects. The

distance can be measured in suitable units of length, such as km, or time, such as minutes.

The links between them must be such that there are several pairs of nodes that are linked by

more than one route.

You must sketch your network and include it in your report. The sketch must show each node

annotated with its name and located on the sketch at its x and y position. The sketch must show

each link annotated with its distance. You can make the sketch by hand but if you do so you will

need to scan it to include in your report.

2 marks

Task 2

You must express your network as a text file using the syntax:

“station” name x y

“link” station station distance

Each station must have been defined in a station line before being cited in a link line.

Include the content of the text file in your report.

2 marks

Task 3

You must implement Java classes StackInt, QueueInt, ListInt and SetInt. These will be subclasses

respectively of abstract classes AbsStackInt, AbsQueueInt, AbsListInt, AbsSetInt, whose source is

provided and shown in the appendixes. These are given as abstract classes (to be ‘sub-classed’)

rather than as interfaces (to be ‘implemented’) partly because they are all ‘bounded’, that is,

with limited capacity because of being implemented by arrays, and also to allow us to give you

hints on how to implement them.

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The required behaviour of the methods of the classes is indicated as pre- and post-conditions in

comments.

4 marks

Task 4

You must make appropriate use of assertions (assert statements) to protect preconditions of the

operations. Remember to enable assertion checking for your project.

1 mark

Task 5

By using JUnit or otherwise you must test your implementations of StackInt, QueueInt, ListInt

and SetInt. To do this, create objects of each class in which capacity is set to a low value, such as

10. You will set it to something larger when deploying the classes later.

Include your test plan, test data used, expected results and actual results in your report. Your

actual results must be shown either as screen images or as text copied from the output pane of

the development toolkit.

4 marks

Task 6

You must create a Java class StationInfo to implement the Java interface IStationInfo (supplied).

1 mark

Task 7

You must create a Java class to define an adjacency matrix

final double NO_LINK = Double.MAX_VALUE; // was erroneous double.MAX_VALUE

int numStations; // 0 <= numStations <= capacity

double distance[ ][ ];

where, for all i, j in 0 <= numStations <= capacity

distance [i][j] is the distance from station with number i to station with number j

distance [i][j] is equal to distance [j][i]

distance [i][i] = NO_LINK

Task 8

and also define a list of objects of class StationInfo held in an array.

Task 9

You must create a Java method in this class that reads a text file containing the textual

description of your network and builds the corresponding list of stations and the matrix of links.

You must perform as many validity checks in this as you can and report any errors. Include the

text of this class in your report.

2 marks

CHC5223 Data Structures and Algorithms 2022–2023 Semester 2

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Task 10

Use print statements to show the contents of the list and of the matrix after using your program

to build them from the data held in your text file. Copy the results into your report.

2 marks

Task 11

You must write Java methods (as in Appendixes) to perform a depth-first traversal from a given

node of your network and a breadth-first traversal from the same node, making use of the

algorithms given in the appendix. Include the methods text and the resulting sequence of node

names in your report.

4 marks

Task 12

You must implement Dijkstra’s algorithm (as in Appendix) making use of the data structures you

have constructed, to find and display the shortest path between two stations in your network.

You must also ‘instrument’ your implementation to count the number of iterations of the while

loop

4 marks

Task 13

Explain the difference between Dijkstra’s algorithm and A* algorithm and state how their

behaviour would differ in the case of your network.

2 marks

Task 14

Comment on the degree of success you have achieved with each of these tasks.

2 marks

total 30 marks

Obtaining help

It is always permissible to request advice on what is required for this assignment. Please try to

do this during normal contact time and avoid asking for such help in the last week before the

deadline.

You can discuss the requirements and the material covered in the assignment with others but

what you create must be all your own work. Be careful to avoid collusion.

Declare in your report any help you have received other than that from the module teaching

team.

Feedback

In addition to the written feedback that we aim to provide within the normal interval, you will be

able to obtain fast, brief, verbal formative feedback and help on correcting your work at your

practical classes.

CHC5223 Data Structures and Algorithms 2022–2023 Semester 2

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Appendix: remove

private class Node {

private Member data;

private Node left, right;

public Node(Member s) {data = s; left = null; right = null;}

} // Node

private Node root;

public Member remove(String name){

// based on Object-Oriented Programming in Oberon-2

// Hanspeter M?ssenb?ck Springer-Verlag 1993, page 78

// transcribed into Java by David Lightfoot

// put assert statement for preconditions here

Node parent = null, del, p = null, q = null;

Member result;

del = root;

while (del != null && !del.data.getName().equals(name)) {

parent = del;

if (name.compareTo(del.data.getName()) < 0)

del = del.left;

else

del = del.right;

}// del == null || del.data.getName().equals(name))

if(del != null) { // del.data.getName().equals(name)

// find the pointer p to the node to replace del

if (del.right == null) p = del.left;

else if (del.right.left == null) {

p = del.right; p.left = del.left;

} else {

p = del.right;

while (p.left != null) {q = p; p = p.left;}

q.left = p.right; p.left = del.left; p.right = del.right;

}

if(del == root) root = p;

else if (del.data.getName().compareTo(parent.data.getName()) < 0)

parent.left = p;

else parent.right = p;

// reduce size of tree by one

result = del.data;

}

else result = null;

return result;

} // remove

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Appendix Abstract class AbsListInt

package CHC5223; // or whatever

/**

* Abstract class to be sub-classed by class(es) that represent lists of ints

*

* You may change the package name for this, but you should not

* modify it in any other way.

*

*/

abstract public class AbsListInt {

protected int list[];

protected int size; // 0 <= size <= capacity

protected final int capacity;

/**

* @param capacity -- maximum capacity of this list

* @post new list of current size zero has been created

*/

public AbsListInt(int capacity){

// implements a bounded list of int values

this.capacity = capacity;

this.size = 0;

list = new int[capacity];

}

public int getCapacity() {return capacity;}

public int getSize() {return size;}

/**

* @param n node to be added

* @pre getSize() != getCapacity()

* @post n has been appended to list

*/

abstract public void append(int n);

/**

* @param x -- value to be sought

* @pre true

* @return true if x is in list*/

abstract public boolean contains(int x);

}

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Appendix Abstract class AbsQueueInt

package CHC5223; // or whatever

/**

* Abstract class to be sub-classed by class(es) that represent stacks of ints

*

* You may change the package name for this, but you should not

* modify it in any other way.

*

*/

abstract public class AbsQueueInt {

protected int queue[];

protected int size; // 0 <= size <= capacity

protected final int capacity;

public AbsQueueInt(int capacity){

this.capacity = capacity;

this.size = 0;

this.queue = new int[capacity];

}

public int getCapacity() {return capacity;}

public int getSize() {return size;}

/**

* @param n node to be added

* @pre getSize() != getCapacity()

* @post n has been added to back of queue

*/

abstract public void addToBack(int n);

/**

* @pre getSize() != 0

* @post element at front of queue has been removed

* @return value that has been removed */

abstract public int removefromFront();

}

CHC5223 Data Structures and Algorithms 2022–2023 Semester 2

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Appendix Abstract class AbsSetInt

package CHC5223; // or whatever

/**

* Abstract class to be sub-classed by class(es) that represent stacks of ints

*

* You may change the package name for this, but you should not

* modify it in any other way.

*

*/

abstract public class AbsSetInt {

protected int set[];

protected int size; // 0 <= size <= capacity

protected final int capacity;

/**

* @param capacity -- maximum capacity of this queue

* @pre capacity >= 0

* @post new set of current size zero has been created

*/

public AbsSetInt(int capacity){

this.capacity = capacity;

this.size = 0;

this.set = new int[capacity];

}

public int getCapacity() {return capacity;}

public int getSize() {return size;}

/**

* @param x -- value to be sought

* @pre true

* @return true iff x is in list*/

abstract public boolean contains(int x);

/**

* @param n node to be added

* @pre contains(n) || getSize() != getCapacity()

* @post contains(n)

*/

abstract public void include(int n);

/**

* @pre true

* @post !contains(n)

*/

abstract public void exclude(int n);

}

CHC5223 Data Structures and Algorithms 2022–2023 Semester 2

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Appendix Abstract class AbsStackInt

package CHC5223; // or whatever

/**

* Abstract class to be sub-classed by class(es) that represent stacks of ints

*

* You may change the package name for this, but you should not

* modify it in any other way.

*

*/

abstract public class AbsStackInt {

protected int stack[];

protected int size; // 0 <= size <= capacity

protected final int capacity;

/**

* @param capacity -- maximum capacity of this queue

* @pre capacity >= 0

* @post new stack of current size zero has been created

*/

public AbsStackInt(int capacity){

this.capacity = capacity;

this.size = 0;

stack = new int[capacity];

}

public int getCapacity() {return capacity;}

public int getSize() {return size;}

/**

* @param n node to be added

* @pre getSize() != getCapacity()

* @post n has been pushed on to top of stack

*/

abstract public void push(int n);

/**

* @pre getSize() != 0

* @post element on top of stack has been removed

* @return value that has been removed */

abstract public int pop();

/**

* @pre getSize() != 0

* @return value on top of stack */

abstract public int peek() ;

}

CHC5223 Data Structures and Algorithms 2022–2023 Semester 2

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Interface IStationInfo

package CHC5223; // or whatever

/**

* Interface to be implemented by class(es) that represent

* information about stations

*

* You may change the package name for this, but you should not

* modify it in any other way.

*

*/

public interface IStationInfo {

/**

* @return the name of the station

*/

String getName();

/**

* @return x position -- 0 <= getxPos() < 256

*/

int getxPos();

/**

* @return y position -- 0 <= getyPos() < 256

*/

int getyPos();

}

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Appendix: breadth-first traversal, beginning with a specified start station

Let Q be an empty queue of Stations

Let L be an empty list of Stations

Add the start station to the back of Q

while Q is not empty do

Remove the Station at the front of Q, call this Station S

Add S to the end of L

if S is not in list L then

Append S to L

for each station S2 that is adjacent to S do

if S2 is not in the list L then

Add S2 to the back of queue Q

endif

endfor

endif

endwhile

return L

Appendix: depth-first traversal, beginning with a specified start station.

Let S be a stack of Stations

Create an initially empty list of Stations, which we will call L

Push the start station on to the stack S

while S is not empty do

Pop the Station at the top of the stack. Call this Station T.

if T is not already in list L then

add it to the back of that list

endif

for each station T2 that is adjacent to T do

if T2 is not in the list L then

push it on to the top of the stack S

endif

endfor

endwhile

return L

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Appendix: Dijkstra’s algorithm for shortest path in a network

set Closed to be empty

add all nodes in the graph to Open.

set the g-value of Start to 0, and the g-value of all the other nodes to ∞

set previous to be none for all nodes.

while End is not in Closed do

let X be the node in Open that has the lowest g-value (highest priority)

remove X from Open and add it to Closed.

if X is not equal to End then

for each node N that is adjacent to X in the graph, and also in Open do

let g’ = g-value of X + cost of edge from N to X

if g’ is less than the current g-value of N then

change the g-value of N to g’

make N’s previous pointer point to X

endif

endfor

endif

endwhile

reconstruct the shortest path from Start to End by following “previous” pointers to find the

previous node to End, the previous node to that previous node, and so on.