Synopses & Reviews
Robert Sedgewick has thoroughly rewritten and substantially expanded and updated his popular work to provide current and comprehensive coverage of important algorithms and data structures. Christopher Van Wyk and Sedgewick have developed new C++ implementations that both express the methods in a concise and direct manner, and also provide programmers with the practical means to test them on real applications.
Many new algorithms are presented, and the explanations of each algorithm are much more detailed than in previous editions. A new text design and detailed, innovative figures, with accompanying commentary, greatly enhance the presentation. The third edition retains the successful blend of theory and practice that has made Sedgewick's work an invaluable resource for more than 250,000 programmers!
This particular book, Parts 1n4, represents the essential first half of Sedgewick's complete work. It provides extensive coverage of fundamental data structures and algorithms for sorting, searching, and related applications. Although the substance of the book applies to programming in any language, the implementations by Van Wyk and Sedgewick also exploit the natural match between C++ classes and ADT implementations.Highlights
- Expanded coverage of arrays, linked lists, strings, trees, and other basic data structures
- Greater emphasis on abstract data types (ADTs), modular programming, object-oriented programming, and C++ classes than in previous editions
- Over 100 algorithms for sorting, selection, priority queue ADT implementations, and symbol table ADT (searching) implementations
- New implementations of binomial queues, multiway radix sorting, randomized BSTs, splay trees, skip lists, multiway tries, B trees, extendible hashing, and much more
- Increased quantitative information about the algorithms, giving you a basis for comparing them
- Over 1000 new exercises to help you learn the properties of algorithms
Whether you are learning the algorithms for the first time or wish to have up-to-date reference material that incorporates new programming styles with classic and new algorithms, you will find a wealth of useful information in this book.
The algorithms included here cover a broad range of fundamental and more advanced methods: sorting, searching, string-processing, geometric, graph, and mathematical algorithms. Readers will see how key algorithms can be implemented, run, debugged, and used in real applications--plus why some algorithms are to be preferred over others.
The latest addition to Robert Sedgewick's popular series of bookscarries his comprehensive collection of algorithms into anobject-oriented programming (OOP) environment with implementationin the C++ programming language. These algorithms cover a broadrange of fundamental and more advanced methods: sorting,searching, string-processing, geometric, graph, and mathematicalalgorithms. The algorithms are all expressed in terms of conciseimplementations in C++, so that readers can both appreciate theirbasic properties and test them on real applications.
The treatment of analysis of algorithsm is carefully developed. When appropriate, analytic results are discussed to illustratewhy certain algorithms are prefered, and in some cases, therelationship of the proactical algorithms being discussed topurely theoretical results is also described.
The ultimate aim of the book is to improve programming practice,whatever the environment, whatever the implementation language. Sedgweick describes the basic methods to be considered in everycase. Features
- Hundreds of detailed, innovative figures clearly demonstratehow important algorithms work.
- Throughout the book, "properties" sections encapsulatespecific information on the performance characteristics ofalgorithms.
- Six chapters discuss fundamental concepts, including a briefintroduction to data structures.
Algorithms in C++ provides readers with the tools to implement,run, and debug useful algorithms with confidence. This book is ahelpful guide for users engaged in the transition to orexperimentation with OOP and/or the C++ language. It may be usedfor self study, or as a reference for developers or computersystems or applications programs.
About the Author
Robert Sedgewick is the William O. Baker Professor of Computer Science at Princeton University. He is a Director of Adobe Systems and has served on the research staffs at Xerox PARC, IDA, and INRIA. He earned his Ph.D from Stanford University under Donald E. Knuth.
Christopher J. Van Wyk is Professor of Mathematics and Computer Science at Drew University. The author of Data Structures and C Programs (Addison-Wesley, 1988), he has served on the research staff at Bell Laboratories, where he is now a consultant. Robert Sedgewick and Christopher Van Wyk both earned their Ph.D. degrees from Stanford University under Donald E. Knuth.
Table of Contents
FUNDAMENTALS. 1. Introduction.
A Sample Problem-Connectivity.
Summary of Topics. 2. Principles of Algorithm Analysis.
Implementation and Empirical Analysis.
Analysis of Algorithms.
Growth of Functions.
Examples of Algorithm Analysis.
Guarantees, Predictions, and Limitations.
DATA STRUCTURES. 3. Elementary Data Structures.
Elementary List Processing.
Memory Allocation for Lists.
Compound Data Structures. 4. Abstract Data Types.
Abstract Objects and Collections of Objects.
Pushdown Stack ADT.
Examples of Stack ADT Clients.
Stack ADT Implementations.
Creation of a New ADT.
FIFO Queues and Generalized Queues.
Duplicate and Index Items.
Application-Based ADT Example.
Perspective. 5. Recursion and Trees.
Divide and Conquer.
Mathematical Properties of Trees.
Recursive Binary-Tree Algorithms.
SORTING. 6. Elementary Sorting Methods.
Rules of the Game.
Performance Characteristics of Elementary Sorts.
Sorting Other Types of Data.
Index and Pointer Sorting.
Sorting Linked Lists.
Key-Indexed Counting. 7. Quicksort.
The Basic Algorithm.
Performance Characteristics of Quicksort.
Strings and Vectors.
Selection. 8. Merging and Mergesort.
Abstract In-Place Merge.
Improvements to the Basic Algorithm.
Performance Characteristics of Mergesort.
Linked-List Implementations of Mergesort.
Recursion Revisited. 9. Priority Queues and Heapsort.
Heap Data Structure.
Algorithms on Heaps.
Priority Queues for Index Items.
Binomial Queues. 10. Radix Sorting.
Bits, Bytes, and Words.
MSD Radix Sort.
Three-Way Radix Quicksort.
LSD Radix Sort.
Performance Characteristics of Radix Sorts.
Sublinear-Time Sorts. 11. Special-Purpose Sorts.
Batcher's Odd-Even Mergesort.
SEARCHING. 12. Symbol Tables and BSTs.
Symbol-Table Abstract Data Type.
Binary Search Trees (BSTs).
Performance Characteristics of BSTs.
Index Implementations with Symbol Tables.
Insertion at the Root in BSTs.
BST Implementations of Other ADT Functions. 13. Balanced Trees.
Top-Down 2-3-4 Trees.
Dynamic Hash Tables.
Perspective. 15. Radix Search.
Digital Search Trees.
Multiway Tries and TSTs.
Text String Index Applications. 16. External Searching.
Rules of the Game.
Indexed Sequential Access.
Perspective. Index. 0201350882T04062001