Preface to First Edition Preface to the Second Edition Introduction 0.1 Read Me 0.2 He Can't Say That, Can He?
1 The Object-Oriented Method 1.1 Data Abstraction and Encapsulation 1.2 The Object Model 1.3 Object-Oriented Terminology 1.4 A Special-Purpose Class: A Bank Account 1.5 A General-Purpose Class: An Association 1.6 Sketching an Example: A Word List 1.7 Sketching an Example: A Rectangle Class 1.8 Interfaces 1.9 Who Is the User? 1.10 Conclusions 1.11 Laboratory: The Day of the Week Calculator
2 Comments, Conditions, and Assertions 2.1 Pre- and Postconditions 2.2 Assertions 2.3 Craftsmanship 2.4 Conclusions 2.5 Laboratory: Using Javadoc Commenting Vectors
3 Vectors 3.1 The Interface 3.2 Example: The Word List Revisited 3.3 Example: Word Frequency 3.4 The Implementation 3.5 Extensibility: A Feature 3.6 Example: L-Systems 3.7 Example: Vector-Based Sets 3.8 Example: The Matrix Class 3.9 Conclusions 3.10 Laboratory: The Silver Dollar Game
4 Design Fundamentals 4.1 Asymptotic Analysis Tools 4.1.1 Time and Space Complexity 4.1.2 Examples 4.1.3 The Trading of Time and Space 4.1.4 Back-of-the-Envelope Estimations 4.2 Self-Reference 4.2.1 Recursion 4.2.2 Mathematical Induction 4.3 Properties of Design 4.3.1 Symmetry 4.3.2 Friction 4.4 Conclusions 4.5 Laboratory: How Fast Is Java?
5 Sorting 5.1 Approaching the Problem 5.2 Selection Sort 5.3 Insertion Sort 5.4 Mergesort 5.5 Quicksoft 5.6 Radix Sort 5.7 Sorting Objects 5.8 Ordering Objects Using Comparators 5.9 Vector-Based Sorting 5.10 Conclusions 5.11 Laboratory: Sorting with Comparators
6 A Design Method 6.1 The Interface-Based Approach 6.1.1 Design of the Interface 6.1.2 Development of an Abstract Implementation 6.1.3 Implementation 6.2 Example: Development of Generators 6.3 Example: Playing Cards 6.4 Conclusions
7 Iterators 7.1 Java's Enumeration Interface 7.2 The Iterator Interface 7.3 Example: Vector Iterators 7.4 Example: Rethinking Generators 7.5 Example: Filtering Iterators 7.6 Conclusions 7.7 Laboratory: The Two-Towers Problem
9 Linear Structures 9.1 Stacks 9.1.1 Example: Simulating Recursion 9.1.2 Vector-Based Stacks 9.1.3 List-Based Stacks 9.1.4 Comparisons 9.2 Queues 9.2.1 Example: Solving a Coin Puzzle 9.2.2 List-Based Queues 9.2.3 Vector-Based Queues 9.2.4 Array-Based Queues 9.3 Example: Solving Mazes 9.4 Conclusions 9.5 Laboratory: A Stack-Based Language 9.6 Laboratory: The Web Crawler
10 Ordered Structures 10.1 Comparable Objects Revisited 10.1.1 Example: Comparable Ratios 10.1.2 Example: Comparable Associations 10.2 Keeping Structures Ordered 10.2.1 The OrderedStructure Interface 10.2.2 The Ordered Vector and Binary Search 10.2.3 Example: Sorting Revisited 10.2.4 A Comparator-based Approach 10.2.5 The Ordered List 10.2.6 Example: The Modified Parking Lot 10.3 Conclusions 10.4 Laboratory: Computing the "Best Of"
11 Binary Trees 11.1 Terminology 11.2 Example: Pedigree Charts 11.3 Example: Expression Trees 11.4 Implementation 11.4.1 The BinaryTree Implementation 11.5 Example: An Expert System 11.6 Traversals of Binary Trees 11.6.1 Preorder Traversal 11.6.2 In-order Traversal 11.6.3 Postorder Traversal 11.6.4 Level-order Traversal 11.6.5 Recursion in Iterators 11.7 Property-Based Methods 11.8 Example: Huffman Compression 11.9 Example Implementation: Ahnentafel 11.10Conclusions 11.11Laboratory: Playing Gardner's Hex-a-Pawn
12 Priority Queues 12.1 The Interface 12.2 Example: Improving the Huffman Code 12.3 A Vector-Based Implementation 12.4 A Heap Implementation 12.4.1 Vector-Based Heaps 12.4.2 Example: Heapsort 12.4.3 Skew Heaps 12.5 Example: Circuit Simulation 12.6 Conclusions 12.7 Laboratory: Simulating Business
13 Search Trees 13.1 Binary Search Trees 13.2 Example: Tree Sort 13.3 Example: Associative Structures 13.4 Implementation 13.5 Splay Trees 13.6 Splay Tree Implementation 13.7 An Alternative:Red-Black Trees 13.8 Conclusions 13.9 Laboratory: Improving the BinarySearchTree
14 Maps 14.1 Example Revisited: The Symbol Table 14.2 The Interface 14.3 Simple Implementation: MapList 14.4 Constant Time Maps: Hash Tables 14.4.1 Open Addressing 14.4.2 External Chaining 14.4.3 Generation of Hash Codes 14.4.4 Hash Codes for Collection Classes 14.4.5 Performance Analysis 14.5 Ordered Maps and Tables 14.6 Example: Document Indexing 14.7 Conclusions 14.8 Laboratory: The Soundex Name Lookup System
15 Graphs 15.1 Terminology 15.2 The Graph Interface 15.3 Implementations 15.3.1 Abstract Classes Reemphasized 15.3.2 Adjacency Matrices 15.3.3 Adjacency Lists 15.4 Examples: Common Graph Algorithms 15.4.1 Reachability 15.4.2 Topological Sorting 15.4.3 Transitive Closure 15.4.4 All Pairs Minimum Distance 15.4.5 Greedy Algorithms 15.5 Conclusions 15.6 Laboratory: Converting Between Units
A Answers A.1 Solutions to Self Check Problems A.2 Solutions to Odd-Numbered Problems
B Beginning with Java B.1 A First Program B.2 Declarations B.2.1 Primitive Types B.2.2 Reference Types B.3 Important Classes B.3.1 The ReadStream Class B.3.2 The PrintStream Class B.3.3 Strings B.4 Control Constructs B.4.1 Conditional Statements B.4.2 Loops B.5 Methods B.6 Inheritance and Subtyping B.6.1 Inheritance B.6.2 Subtyping B.6.3 Interfaces and Abstract Classes B.7 Use of the Assert Command B.8 Use of the Keyword Protected
C Collections C.1 Collection Class Features C.2 Parallel Features C.3 Conversion
D Documentation D.1 Structure Package Hierarchy D.2 Principles
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