Algorithms in C 1st edition by Robert Sedgewick 0201514257 9780201514254
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Authors:Robert Sedgewick , Series:IT & Computer [64] , Tags:Computers; Languages; C , Author sort:Sedgewick, Robert , Ids:Google; 9780201314526 , Languages:Languages:eng , Published:Published:Mar 1998 , Publisher:Addison-Wesley , Comments:Comments:This is an eminently readable book which an ordinary programmer, unskilled in mathematical analysis and wary of theoretical algorithms, ought to be able to pick up and get a lot out of..- Steve Summit, author of C Programming FAQs Sedgewick has a real gift for explaining concepts in a way that makes them easy to understand. The use of real programs in page-size (or less) chunks that can be easily understood is a real plus. The figures, programs, and tables are a significant contribution to the learning experience of the reader; they make this book distinctive.- William A. Ward, University of South Alabama Robert Sedgewick has thoroughly rewritten and substantially expanded his popular work to provide current and comprehensive coverage of important algorithms and data structures. 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 1-4, 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. The algorithms and data structures are expressed in concise implementations in C, so that you can both appreciate their fundamental properties and test them on real applications. Of course, the substance of the book applies to programming in any language. Highlights Expanded coverage of arrays, linked lists, strings, trees, and other basic data structures Greater emphasis on abstract data types (ADTs) 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, Batcher’s sorting networks, randomized BSTs, splay trees, skip lists, multiway tries, and much more Increased quantitative information about the algorithms, including extensive empirical studies and basic analytic studies, giving you a basis for comparing them Over 1000 new exercises to help you learn the properties of algorithms Whether you are a student learning the algorithms for the first time or a professional interested in having up-to-date reference material, you will find a wealth of useful information in this book.
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ISBN 10: 0201514257
ISBN 13: 9780201514254
Author: Robert Sedgewick
This new version of the best-selling book, Algorithms, Second Edition, provides a comprehensive collection of algorithms implemented in C. A variety of algorithms are described in each of the following areas: sorting, searching, string-processing, geometric, graph, and mathematical algorithms. These algorithms are expressed in terms of concise implementations in C, so that readers can both appreciate their fundamental properties and test them on real applications. The treatment of analysis of algorithms is carefully developed. When appropriate, analytic results are discussed to illustratewhy certain algorithms are preferred, and in some cases, the relationship of the practical algorithms being discussed to purely theoretical results is also described. It features hundreds of detailed, innovative figures clearly demonstrate how important algorithms work. Throughout the book, properties sections encapsulate specific information on the performance characteristics of algorithms. Six chapters present fundamental concepts, including a brief introduction to data structures. Algorithms in C provides readers with the tools to confidently implement, run, and debug useful algorithms.
Algorithms in C 1st Table of contents:
I. FUNDAMENTALS
1. Introduction
- Algorithms
- Outline of Topics
2. C
- Example: Euclid’s Algorithm
- Types of Data
- Input/Output
- Concluding Remarks
3. Elementary Data Structures
- Arrays
- Linked Lists
- Storage Allocation
- Pushdown Stacks
- Queues
- Abstract Data Types
4. Trees
- Glossary
- Properties
- Representing Binary Trees
- Representing Forests
- Traversing Trees
5. Recursion
- Recurrences
- Divide-and-Conquer
- Recursive Tree Traversal
- Removing Recursion
- Perspective
6. Analysis of Algorithms
- Framework
- Classification of Algorithms
- Computational Complexity
- Average-Case Analysis
- Approximate and Asymptotic Results
- Basic Recurrences
- Perspective
7. Implementation of Algorithms
- Selecting an Algorithm
- Empirical Analysis
- Program Optimization
- Algorithms and Systems
II. SORTING ALGORITHMS
8. Elementary Sorting Methods
- Rules of the Game
- Selection Sort
- Insertion Sort
- Digression: Bubble Sort
- Performance Characteristics of Elementary Sorts
- Sorting Files with Large Records
- Shellsort
- Distribution Counting
9. Quicksort
- The Basic Algorithm
- Performance Characteristics of Quicksort
- Removing Recursion
- Small Subfiles
- Median-of-Three Partitioning
- Selection
10. Radix Sorting
- Bits
- Radix Exchange Sort
- Straight Radix Sort
- Performance Characteristics of Radix Sorts
- A Linear Sort
11. Priority Queues
- Elementary Implementations
- Heap Data Structure
- Algorithms on Heaps
- Heapsort
- Indirect Heaps
- Advanced Implementations
12. Mergesort
- Merging
- Mergesort
- List Mergesort
- Bottom-up Mergesort
- Performance Characteristics
- Optimized Implementations
- Recursion Revisited
13. External Sorting
- Sort-Merge
- Balanced Multiway Merging
- Replacement Selection
- Practical Considerations
- Polyphase Merging
- An Easier Way
III. SEARCHING ALGORITHMS
14. Elementary Searching Methods
- Sequential Searching
- Binary Search
- Binary Tree Search
- Deletion
- Indirect Binary Search Trees
15. Balanced Trees
- Top-Down 2-3-4 Trees
- Red-Black Trees
- Other Algorithms
16. Hashing
- Hash Functions
- Separate Chaining
- Linear Probing
- Double Hashing
- Perspective
17. Radix Searching
- Digital Search Trees
- Radix Search Tries
- Multiway Radix Searching
- Patricia
18. External Searching
- Indexed Sequential Access
- B-Trees
- Extendible Hashing
- Virtual Memory
IV. STRING PROCESSING
19. String Searching
- A Short History
- Brute-Force Algorithm
- Knuth-Morris-Pratt Algorithm
- Boyer-Moore Algorithm
- Rabin-Karp Algorithm
- Multiple Searches
20. Pattern Matching
- Describe Patterns
- Pattern Matching Machines
- Representing the Machine
- Simulating the Machine
21. Parsing
- Context-Free Grammars
- Top-Down Parsing
- Bottom-Up Parsing
- Compilers
- Compiler-Compilers
22. File Compression
- Run-Length Encoding
- Variable-Length Encoding
- Building the Huffman Code
- Implementation
23. Cryptology
- Rules of the Game
- Simple Methods
- Encryption/Decryption Machines
- Public-Key Cryptosystems
V. GEOMETRIC ALGORITHMS
24. Elementary Geometric Methods
- Points, Lines, and Polygons
- Line Segment Intersection
- Simple Closed Path
- Inclusion in a Polygon
- Perspective
25. Finding the Convex Hull
- Rules of the Game
- Package-Wrapping
- The Graham Scan
- Interior Elimination
- Performance Issues
26. Range Searching
- Elementary Methods
- Grid Method
- Two-Dimensional Trees
- Multidimensional Range Searching
27. Geometric Intersection
- Horizontal and Vertical Lines
- Implementation
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