Addison Wesley - Algorithms in Java - Parts 1-4, Third Edition
Algorithms in Java: Parts 1-4, Third Edition
Table of Contents
Book Cover
Copyright
Preface
Scope
Use in the Curriculum
Algorithms of Practical Use
Programming Language
Acknowledgments
Java Consultant's Preface
Notes on Exercises
Part I: Fundamentals
Chapter 1. Introduction
1.1 Algorithms
1.2 A Sample Problem: Connectivity
1.3 Union–Find Algorithms
1.4 Perspective
1.5 Summary of Topics
Chapter 2. Principles of Algorithm Analysis
2.1 Implementation and Empirical Analysis
2.2 Analysis of Algorithms
2.3 Growth of Functions
2.4 Big-Oh Notation
2.5 Basic Recurrences
2.6 Examples of Algorithm Analysis
2.7 Guarantees, Predictions, and Limitations
References for Part One
Part II: Data Structures
Chapter 3. Elementary Data Structures
3.1 Building Blocks
3.2 Arrays
3.3 Linked Lists
3.4 Elementary List Processing
3.5 Memory Allocation for Lists
3.6 Strings
3.7 Compound Data Structures
Chapter 4. Abstract Data Types
Exercises
4.1 Collections of Items
4.2 Pushdown Stack ADT
4.3 Examples of Stack ADT Clients
4.4 Stack ADT Implementations
4.5 Generic Implementations
4.6 Creation of a New ADT
4.7 FIFO Queues and Generalized Queues
4.8 Duplicate and Index Items
4.9 First-Class ADTs
4.10 Application-Based ADT Example
4.11 Perspective
Chapter 5. Recursion and Trees
5.1 Recursive Algorithms
5.2 Divide and Conquer
5.3 Dynamic Programming
5.4 Trees
5.5 Mathematical Properties of Binary Trees
5.6 Tree Traversal
5.7 Recursive Binary-Tree Algorithms
5.8 Graph Traversal
5.9 Perspective
References for Part Two
Part III: Sorting
Chapter 6. Elementary Sorting Methods
6.1 Rules of the Game
6.2 Generic Sort Implementations
6.3 Selection Sort
6.4 Insertion Sort
6.5 Bubble Sort
6.6 Performance Characteristics of Elementary Sorts
6.7 Algorithm Visualization
6.8 Shellsort
6.9 Sorting of Linked Lists
6.10 Key-Indexed Counting
Chapter 7. Quicksort
7.1 The Basic Algorithm
7.2 Performance Characteristics of Quicksort
7.3 Stack Size
7.4 Small Subfiles
7.5 Median-of-Three Partitioning
7.6 Duplicate Keys
7.7 Strings and Vectors
7.8 Selection
Chapter 8. Merging and Mergesort
8.1 Two-Way Merging
8.2 Abstract In-Place Merge
8.3 Top-Down Mergesort
8.4 Improvements to the Basic Algorithm
8.5 Bottom-Up Mergesort
8.6 Performance Characteristics of Mergesort
8.7 Linked-List Implementations of Mergesort
8.8 Recursion Revisited
Chapter 9. Priority Queues and Heapsort
Exercises
9.1 Elementary Implementations
9.2 Heap Data Structure
9.3 Algorithms on Heaps
9.4 Heapsort
9.5 Priority-Queue ADT
9.6 Priority Queues for Client Arrays
9.7 Binomial Queues
Chapter 10. Radix Sorting
10.1 Bits, Bytes, and Words
10.2 Binary Quicksort
10.3 MSD Radix Sort
10.4 Three-Way Radix Quicksort
10.5 LSD Radix Sort
10.6 Performance Characteristics of Radix Sorts
10.7 Sublinear-Time Sorts
Chapter 11. Special-Purpose Sorting Methods
11.1 Batcher's Odd–Even Mergesort
11.2 Sorting Networks
11.3 Sorting In Place
11.4 External Sorting
11.5 Sort–Merge Implementations
11.6 Parallel Sort–Merge
References for Part Three
Part IV: Searching
Chapter 12. Symbol Tables and Binary Search Trees
12.1 Symbol-Table Abstract Data Type
12.2 Key-Indexed Search
12.3 Sequential Search
12.4 Binary Search
12.5 Index Implementations with Symbol Tables
12.6 Binary Search Trees
12.7 Performance Characteristics of BSTs
12.8 Insertion at the Root in BSTs
12.9 BST Implementations of Other ADT Operations
Chapter 13. Balanced Trees
Exercises
13.1 Randomized BSTs
13.2 Splay BSTs
13.3 Top-Down 2-3-4 Trees
13.4 Red–Black Trees
13.5 Skip Lists
13.6 Performance Characteristics
Chapter 14. Hashing
14.1 Hash Functions
14.2 Separate Chaining
14.3 Linear Probing
14.4 Double Hashing
14.5 Dynamic Hash Tables
14.6 Perspective
Chapter 15. Radix Search
15.1 Digital Search Trees
15.2 Tries
15.3 Patricia Tries
15.4 Multiway Tries and TSTs
15.5 Text-String–Index Algorithms
Chapter 16. External Searching
16.1 Rules of the Game
16.2 Indexed Sequential Access
16.3 B Trees
16.4 Extendible Hashing
16.5 Perspective
References for Part Four
Appendix
Exercises
Zum Energiesparen und Wohlfuehlen sind
Kamine
eine gute Investition.