- •Preface
- •1.1 Machine Language
- •1.3 The Java Virtual Machine
- •1.4 Building Blocks of Programs
- •1.5 Object-oriented Programming
- •1.6 The Modern User Interface
- •Quiz on Chapter 1
- •2 Names and Things
- •2.1 The Basic Java Application
- •2.2.1 Variables
- •2.2.2 Types and Literals
- •2.2.3 Variables in Programs
- •2.3.2 Operations on Strings
- •2.3.3 Introduction to Enums
- •2.4 Text Input and Output
- •2.4.1 A First Text Input Example
- •2.4.2 Text Output
- •2.4.3 TextIO Input Functions
- •2.4.4 Formatted Output
- •2.4.5 Introduction to File I/O
- •2.5 Details of Expressions
- •2.5.1 Arithmetic Operators
- •2.5.2 Increment and Decrement
- •2.5.3 Relational Operators
- •2.5.4 Boolean Operators
- •2.5.5 Conditional Operator
- •2.5.7 Type Conversion of Strings
- •2.5.8 Precedence Rules
- •2.6 Programming Environments
- •2.6.1 Java Development Kit
- •2.6.2 Command Line Environment
- •2.6.3 IDEs and Eclipse
- •2.6.4 The Problem of Packages
- •Exercises for Chapter 2
- •Quiz on Chapter 2
- •3 Control
- •3.1 Blocks, Loops, and Branches
- •3.1.1 Blocks
- •3.1.2 The Basic While Loop
- •3.1.3 The Basic If Statement
- •3.2 Algorithm Development
- •3.2.2 The 3N+1 Problem
- •3.2.3 Coding, Testing, Debugging
- •3.3.1 The while Statement
- •3.3.2 The do..while Statement
- •3.3.3 break and continue
- •3.4 The for Statement
- •3.4.1 For Loops
- •3.4.2 Example: Counting Divisors
- •3.4.3 Nested for Loops
- •3.5 The if Statement
- •3.5.1 The Dangling else Problem
- •3.5.2 The if...else if Construction
- •3.5.3 If Statement Examples
- •3.5.4 The Empty Statement
- •3.6 The switch Statement
- •3.6.1 The Basic switch Statement
- •3.6.2 Menus and switch Statements
- •3.6.3 Enums in switch Statements
- •3.7.1 Exceptions
- •3.7.2 try..catch
- •3.7.3 Exceptions in TextIO
- •Exercises for Chapter 3
- •Quiz on Chapter 3
- •4 Subroutines
- •4.1 Black Boxes
- •4.2.2 Calling Subroutines
- •4.2.3 Subroutines in Programs
- •4.2.4 Member Variables
- •4.3 Parameters
- •4.3.1 Using Parameters
- •4.3.2 Formal and Actual Parameters
- •4.3.3 Overloading
- •4.3.4 Subroutine Examples
- •4.3.5 Throwing Exceptions
- •4.3.6 Global and Local Variables
- •4.4 Return Values
- •4.4.1 The return statement
- •4.4.2 Function Examples
- •4.4.3 3N+1 Revisited
- •4.5 APIs, Packages, and Javadoc
- •4.5.1 Toolboxes
- •4.5.3 Using Classes from Packages
- •4.5.4 Javadoc
- •4.6 More on Program Design
- •4.6.1 Preconditions and Postconditions
- •4.6.2 A Design Example
- •4.6.3 The Program
- •4.7 The Truth About Declarations
- •4.7.1 Initialization in Declarations
- •4.7.2 Named Constants
- •4.7.3 Naming and Scope Rules
- •Exercises for Chapter 4
- •Quiz on Chapter 4
- •5 Objects and Classes
- •5.1.1 Objects, Classes, and Instances
- •5.1.2 Fundamentals of Objects
- •5.1.3 Getters and Setters
- •5.2 Constructors and Object Initialization
- •5.2.1 Initializing Instance Variables
- •5.2.2 Constructors
- •5.2.3 Garbage Collection
- •5.3 Programming with Objects
- •5.3.2 Wrapper Classes and Autoboxing
- •5.4 Programming Example: Card, Hand, Deck
- •5.4.1 Designing the classes
- •5.4.2 The Card Class
- •5.4.3 Example: A Simple Card Game
- •5.5.1 Extending Existing Classes
- •5.5.2 Inheritance and Class Hierarchy
- •5.5.3 Example: Vehicles
- •5.5.4 Polymorphism
- •5.5.5 Abstract Classes
- •5.6 this and super
- •5.6.1 The Special Variable this
- •5.6.2 The Special Variable super
- •5.6.3 Constructors in Subclasses
- •5.7 Interfaces, Nested Classes, and Other Details
- •5.7.1 Interfaces
- •5.7.2 Nested Classes
- •5.7.3 Anonymous Inner Classes
- •5.7.5 Static Import
- •5.7.6 Enums as Classes
- •Exercises for Chapter 5
- •Quiz on Chapter 5
- •6 Introduction to GUI Programming
- •6.1 The Basic GUI Application
- •6.1.1 JFrame and JPanel
- •6.1.2 Components and Layout
- •6.1.3 Events and Listeners
- •6.2 Applets and HTML
- •6.2.1 JApplet
- •6.2.2 Reusing Your JPanels
- •6.2.3 Basic HTML
- •6.2.4 Applets on Web Pages
- •6.3 Graphics and Painting
- •6.3.1 Coordinates
- •6.3.2 Colors
- •6.3.3 Fonts
- •6.3.4 Shapes
- •6.3.5 Graphics2D
- •6.3.6 An Example
- •6.4 Mouse Events
- •6.4.1 Event Handling
- •6.4.2 MouseEvent and MouseListener
- •6.4.3 Mouse Coordinates
- •6.4.4 MouseMotionListeners and Dragging
- •6.4.5 Anonymous Event Handlers
- •6.5 Timer and Keyboard Events
- •6.5.1 Timers and Animation
- •6.5.2 Keyboard Events
- •6.5.3 Focus Events
- •6.5.4 State Machines
- •6.6 Basic Components
- •6.6.1 JButton
- •6.6.2 JLabel
- •6.6.3 JCheckBox
- •6.6.4 JTextField and JTextArea
- •6.6.5 JComboBox
- •6.6.6 JSlider
- •6.7 Basic Layout
- •6.7.1 Basic Layout Managers
- •6.7.2 Borders
- •6.7.3 SliderAndComboBoxDemo
- •6.7.4 A Simple Calculator
- •6.7.5 Using a null Layout
- •6.7.6 A Little Card Game
- •6.8 Menus and Dialogs
- •6.8.1 Menus and Menubars
- •6.8.2 Dialogs
- •6.8.3 Fine Points of Frames
- •6.8.4 Creating Jar Files
- •Exercises for Chapter 6
- •Quiz on Chapter 6
- •7 Arrays
- •7.1 Creating and Using Arrays
- •7.1.1 Arrays
- •7.1.2 Using Arrays
- •7.1.3 Array Initialization
- •7.2 Programming With Arrays
- •7.2.1 Arrays and for Loops
- •7.2.3 Array Types in Subroutines
- •7.2.4 Random Access
- •7.2.5 Arrays of Objects
- •7.2.6 Variable Arity Methods
- •7.3 Dynamic Arrays and ArrayLists
- •7.3.1 Partially Full Arrays
- •7.3.2 Dynamic Arrays
- •7.3.3 ArrrayLists
- •7.3.4 Parameterized Types
- •7.3.5 Vectors
- •7.4 Searching and Sorting
- •7.4.1 Searching
- •7.4.2 Association Lists
- •7.4.3 Insertion Sort
- •7.4.4 Selection Sort
- •7.4.5 Unsorting
- •7.5.3 Example: Checkers
- •Exercises for Chapter 7
- •Quiz on Chapter 7
- •8 Correctness and Robustness
- •8.1 Introduction to Correctness and Robustness
- •8.1.1 Horror Stories
- •8.1.2 Java to the Rescue
- •8.1.3 Problems Remain in Java
- •8.2 Writing Correct Programs
- •8.2.1 Provably Correct Programs
- •8.2.2 Robust Handling of Input
- •8.3 Exceptions and try..catch
- •8.3.1 Exceptions and Exception Classes
- •8.3.2 The try Statement
- •8.3.3 Throwing Exceptions
- •8.3.4 Mandatory Exception Handling
- •8.3.5 Programming with Exceptions
- •8.4 Assertions
- •8.5 Introduction to Threads
- •8.5.1 Creating and Running Threads
- •8.5.2 Operations on Threads
- •8.5.4 Wait and Notify
- •8.5.5 Volatile Variables
- •8.6 Analysis of Algorithms
- •Exercises for Chapter 8
- •Quiz on Chapter 8
- •9.1 Recursion
- •9.1.1 Recursive Binary Search
- •9.1.2 Towers of Hanoi
- •9.1.3 A Recursive Sorting Algorithm
- •9.1.4 Blob Counting
- •9.2 Linked Data Structures
- •9.2.1 Recursive Linking
- •9.2.2 Linked Lists
- •9.2.3 Basic Linked List Processing
- •9.2.4 Inserting into a Linked List
- •9.2.5 Deleting from a Linked List
- •9.3 Stacks, Queues, and ADTs
- •9.3.1 Stacks
- •9.3.2 Queues
- •9.4 Binary Trees
- •9.4.1 Tree Traversal
- •9.4.2 Binary Sort Trees
- •9.4.3 Expression Trees
- •9.5 A Simple Recursive Descent Parser
- •9.5.1 Backus-Naur Form
- •9.5.2 Recursive Descent Parsing
- •9.5.3 Building an Expression Tree
- •Exercises for Chapter 9
- •Quiz on Chapter 9
- •10.1 Generic Programming
- •10.1.1 Generic Programming in Smalltalk
- •10.1.2 Generic Programming in C++
- •10.1.3 Generic Programming in Java
- •10.1.4 The Java Collection Framework
- •10.1.6 Equality and Comparison
- •10.1.7 Generics and Wrapper Classes
- •10.2 Lists and Sets
- •10.2.1 ArrayList and LinkedList
- •10.2.2 Sorting
- •10.2.3 TreeSet and HashSet
- •10.2.4 EnumSet
- •10.3 Maps
- •10.3.1 The Map Interface
- •10.3.2 Views, SubSets, and SubMaps
- •10.3.3 Hash Tables and Hash Codes
- •10.4 Programming with the Collection Framework
- •10.4.1 Symbol Tables
- •10.4.2 Sets Inside a Map
- •10.4.3 Using a Comparator
- •10.4.4 Word Counting
- •10.5 Writing Generic Classes and Methods
- •10.5.1 Simple Generic Classes
- •10.5.2 Simple Generic Methods
- •10.5.3 Type Wildcards
- •10.5.4 Bounded Types
- •Exercises for Chapter 10
- •Quiz on Chapter 10
- •11 Files and Networking
- •11.1 Streams, Readers, and Writers
- •11.1.1 Character and Byte Streams
- •11.1.2 PrintWriter
- •11.1.3 Data Streams
- •11.1.4 Reading Text
- •11.1.5 The Scanner Class
- •11.1.6 Serialized Object I/O
- •11.2 Files
- •11.2.1 Reading and Writing Files
- •11.2.2 Files and Directories
- •11.2.3 File Dialog Boxes
- •11.3 Programming With Files
- •11.3.1 Copying a File
- •11.3.2 Persistent Data
- •11.3.3 Files in GUI Programs
- •11.3.4 Storing Objects in Files
- •11.4 Networking
- •11.4.1 URLs and URLConnections
- •11.4.2 TCP/IP and Client/Server
- •11.4.3 Sockets
- •11.4.4 A Trivial Client/Server
- •11.4.5 A Simple Network Chat
- •11.5 Network Programming and Threads
- •11.5.1 A Threaded GUI Chat Program.
- •11.5.2 A Multithreaded Server
- •11.5.3 Distributed Computing
- •11.6 A Brief Introduction to XML
- •11.6.1 Basic XML Syntax
- •11.6.2 XMLEncoder and XMLDecoder
- •11.6.3 Working With the DOM
- •Exercises for Chapter 11
- •Quiz on Chapter 11
- •12 Advanced GUI Programming
- •12.1 Images and Resources
- •12.1.2 Working With Pixels
- •12.1.3 Resources
- •12.1.4 Cursors and Icons
- •12.1.5 Image File I/O
- •12.2 Fancier Graphics
- •12.2.1 Measuring Text
- •12.2.2 Transparency
- •12.2.3 Antialiasing
- •12.2.4 Strokes and Paints
- •12.2.5 Transforms
- •12.3 Actions and Buttons
- •12.3.1 Action and AbstractAction
- •12.3.2 Icons on Buttons
- •12.3.3 Radio Buttons
- •12.3.4 Toolbars
- •12.3.5 Keyboard Accelerators
- •12.3.6 HTML on Buttons
- •12.4 Complex Components and MVC
- •12.4.1 Model-View-Controller
- •12.4.2 Lists and ListModels
- •12.4.3 Tables and TableModels
- •12.4.4 Documents and Editors
- •12.4.5 Custom Components
- •12.5 Finishing Touches
- •12.5.1 The Mandelbrot Set
- •12.5.2 Design of the Program
- •12.5.3 Internationalization
- •12.5.4 Events, Events, Events
- •12.5.5 Custom Dialogs
- •12.5.6 Preferences
- •Exercises for Chapter 12
- •Quiz on Chapter 12
- •Appendix: Source Files
CHAPTER 9. LINKED DATA STRUCTURES AND RECURSION |
444 |
while ( runner != null && runner.item.compareTo(deleteItem) < 0 ) { |
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// Move previous and runner along the list until runner |
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// falls off the end or hits a list element that is |
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// greater than or equal to deleteItem. When this |
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// loop ends, runner indicates the position where |
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// deleteItem must be, if it is in the list. |
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previous = runner; |
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runner = runner.next; |
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} |
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if ( runner != null && runner.item.equals(deleteItem) ) { |
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// Runner points to the node that is to be deleted. |
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// Remove it by changing the pointer in the previous node. |
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previous.next = runner.next; |
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return true; |
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} |
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else { |
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// The item does not exist in the list. |
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return false; |
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} |
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} |
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} // end delete() |
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9.3 Stacks, Queues, and ADTs
A linked list is a particular type of data structure, made up of objects linked together by |
(online) |
pointers. In the previous section, we used a linked list to store an ordered list of Strings, and |
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we implemented insert, delete, and find operations on that list. However, we could easily |
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have stored the list of Strings in an array or ArrayList, instead of in a linked list. We could still |
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have implemented the same operations on the list. The implementations of these operations |
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would have been di erent, but their interfaces and logical behavior would still be the same. |
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The term abstract data type, or ADT , refers to a set of possible values and a set of |
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operations on those values, without any specification of how the values are to be represented |
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or how the operations are to be implemented. An “ordered list of strings” can be defined as an |
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abstract data type. Any sequence of Strings that is arranged in increasing order is a possible |
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value of this data type. The operations on the data type include inserting a new string, deleting |
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a string, and finding a string in the list. There are often several di erent ways to implement the |
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same abstract data type. For example, the “ordered list of strings” ADT can be implemented |
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as a linked list or as an array. A program that only depends on the abstract definition of the |
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ADT can use either implementation, interchangeably. In particular, the implementation of the |
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ADT can be changed without a ecting the program as a whole. This can make the program |
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easier to debug and maintain, so ADTs are an important tool in software engineering. |
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In this section, we’ll look at two common abstract data types, stacks and queues. Both |
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stacks and queues are often implemented as linked lists, but that is not the only possible |
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implementation. You should think of the rest of this section partly as a discussion of stacks |
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and queues and partly as a case study in ADTs. |
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CHAPTER 9. LINKED DATA STRUCTURES AND RECURSION |
445 |
9.3.1Stacks
A stack consists of a sequence of items, which should be thought of as piled one on top of the other like a physical stack of boxes or cafeteria trays. Only the top item on the stack is accessible at any given time. It can be removed from the stack with an operation called pop. An item lower down on the stack can only be removed after all the items on top of it have been popped o the stack. A new item can be added to the top of the stack with an operation called push. We can make a stack of any type of items. If, for example, the items are values of type int, then the push and pop operations can be implemented as instance methods
•void push (int newItem) — Add newItem to top of stack.
•int pop() — Remove the top int from the stack and return it.
It is an error to try to pop an item from an empty stack, so it is important to be able to tell whether a stack is empty. We need another stack operation to do the test, implemented as an instance method
• boolean isEmpty() — Returns true if the stack is empty.
This defines a “stack of ints” as an abstract data type. This ADT can be implemented in several ways, but however it is implemented, its behavior must correspond to the abstract mental image of a stack.
In the linked list implementation of a stack, the top of the stack is actually the node at the head of the list. It is easy to add and remove nodes at the front of a linked list—much easier than inserting and deleting nodes in the middle of the list. Here is a class that implements the “stack of ints” ADT using a linked list. (It uses a static nested class to represent the nodes of the linked list. If the nesting bothers you, you could replace it with a separate Node class.)
public class StackOfInts {
/**
*An object of type Node holds one of the items in the linked list
*that represents the stack.
*/
CHAPTER 9. LINKED DATA STRUCTURES AND RECURSION |
446 |
private static class Node { int item;
Node next;
}
private Node top; // Pointer to the Node that is at the top of
//of the stack. If top == null, then the
//stack is empty.
/**
* Add N to the top of the stack. */
public void push( int N ) {
Node newTop; |
// A Node to hold the new item. |
newTop = new Node(); |
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newTop.item = N; |
// Store N in the new Node. |
newTop.next = top; |
// The new Node points to the old top. |
top = newTop; |
// The new item is now on top. |
} |
|
/**
*Remove the top item from the stack, and return it.
*Throws an IllegalStateException if the stack is empty when
*this method is called.
*/
public int pop() { if ( top == null )
throw new IllegalStateException("Can’t pop from an empty stack.");
int topItem = top.item; |
// The item that is being popped. |
top = top.next; |
// The previous second item is now on top. |
return topItem; |
|
} |
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/**
*Returns true if the stack is empty. Returns false
*if there are one or more items on the stack.
*/
public boolean isEmpty() { return (top == null);
}
} // end class StackOfInts
You should make sure that you understand how the push and pop operations operate on the linked list. Drawing some pictures might help. Note that the linked list is part of the private implementation of the StackOfInts class. A program that uses this class doesn’t even need to know that a linked list is being used.
Now, it’s pretty easy to implement a stack as an array instead of as a linked list. Since the number of items on the stack varies with time, a counter is needed to keep track of how many spaces in the array are actually in use. If this counter is called top, then the items on the stack are stored in positions 0, 1, . . . , top-1 in the array. The item in position 0 is on the bottom of the stack, and the item in position top-1 is on the top of the stack. Pushing an item onto the stack is easy: Put the item in position top and add 1 to the value of top. If we don’t want to put a limit on the number of items that the stack can hold, we can use the dynamic array techniques from Subsection 7.3.2. Note that the typical picture of the array would show the
CHAPTER 9. LINKED DATA STRUCTURES AND RECURSION |
447 |
stack “upside down”, with the top of the stack at the bottom of the array. This doesn’t matter. The array is just an implementation of the abstract idea of a stack, and as long as the stack operations work the way they are supposed to, we are OK. Here is a second implementation of the StackOfInts class, using a dynamic array:
public class StackOfInts { // (alternate version, using an array)
private int[] items = new int[10]; // Holds the items on the stack.
private int top = 0; // The number of items currently on the stack.
/**
* Add N to the top of the stack. */
public void push( int N ) { if (top == items.length) {
//The array is full, so make a new, larger array and
//copy the current stack items into it.
int[] newArray = new int[ 2*items.length ]; System.arraycopy(items, 0, newArray, 0, items.length); items = newArray;
} |
|
items[top] = N; |
// Put N in next available spot. |
top++; |
// Number of items goes up by one. |
}
/**
*Remove the top item from the stack, and return it.
*Throws an IllegalStateException if the stack is empty when
*this method is called.
*/
public int pop() { if ( top == 0 )
throw new IllegalStateException("Can’t pop from an empty stack."); int topItem = items[top - 1] // Top item in the stack.
top--; // Number of items on the stack goes down by one. return topItem;
}
/**
*Returns true if the stack is empty. Returns false
*if there are one or more items on the stack.
*/
public boolean isEmpty() { return (top == 0);
}
} // end class StackOfInts
Once again, the implementation of the stack (as an array) is private to the class. The two versions of the StackOfInts class can be used interchangeably, since their public interfaces are identical.
It’s interesting to look at the run time analysis of stack operations. (See Section 8.6). We can measure the size of the problem by the number of items that are on the stack. For the