Data Structures and Algorithms Using Visual Basic.NET
NZD$105.95 inc GST
- Author: Michael McMillan, Pulaski Technical College, Arkansas
- Date Published: June 2005
- availability: Available
- format: Paperback
- isbn: 9780521547659
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This is the first Visual Basic.NET book to provide a comprehensive discussion of the major data structures and algorithms. Here, instead of having to translate material on C++ or Java, the professional or student VB.NET programmer will find a tutorial on how to use data structures and algorithms and a reference for implementation using VB.NET for data structures and algorithms from the .NET Framework Class Library as well as those which must be developed by the programmer. In an object-oriented fashion, the author presents arrays and arraylists, linked lists, hash tables, dictionaries, trees, graphs, sorting and searching as well as more advanced algorithms, such as probabilistic algorithms and dynamic programming. His approach is very practical, for example using timing tests rather than Big O analysis to compare the performance of data structures and algorithms. This book can be used in both beginning and advanced computer programming courses that use the VB.NET language and, most importantly, by the professional VB programmer.
Read more- Only algorithms and data structures textbook using Visual Basic.NET
- Teaches both implementation of data structures and algorithms and the use of the .NET Framework collection classes
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×Product details
- Date Published: June 2005
- format: Paperback
- isbn: 9780521547659
- length: 414 pages
- dimensions: 235 x 191 x 21 mm
- weight: 0.71kg
- contains: 75 b/w illus.
- availability: Available
Table of Contents
1. Collections
2. Arrays and the array class
3. The arraylist and sortedlist classes
4. Basic sorting algorithms
5. Basic searching algorithms
6. Stacks and queues
7. BitArrays and the BitVector structure
8. Strings, the string class and the StringBuilder class
9. Special string classes - StringCollection, StringDictionary and StringEnumerator
10. Pattern matching and text processing - using the RegEx and supporting classes
11. Hash tables
12. Dictionaries - the DictionaryBase class and specialized dictionary classes
13. Linked lists
14. Binary trees and binary search trees
15. Sets
16. Advanced sorting algorithms
17. Advanced searching algorithms
18. Graphs and graph algorithms
19. Greedy algorithms
20. Probabilistic algorithms
21. Dynamic programming.
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