Description

Book Synopsis
At last, the VB.NET programmer has a dedicated reference - no more translating elementary material from C++ or Java. This is the only VB.NET book that provides comprehensive discussions of the major data structures and algorithms from the .NET Framework Class Library, as well as those that the programmer must develop.

Trade Review
“Choosing which data structure and sorting algorithms to use can have a great effect on the speed of the program. This book helps programmers make those choices. This book begins with an introduction to properties and classes in VB.NET. It also describes the creation of a timing test in the VB.NET environment, which is used repeatedly in later chapters to demonstrate how different structures and searching techniques can change program completion time. This little bit of code is the prize inside, since it can be used whenever timing of VB.NET programming is needed…[This book] thoroughly covers the basics, and some more advanced topics of data structures and searching algorithms, using VB.NET with a minimalist approach.” Computing Reviews

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.

Data Structures and Algorithms Using Visual Basic.Net

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Order before 4pm tomorrow for delivery by Sat 17 Jan 2026.

A Paperback by Michael McMillan

15 in stock


    View other formats and editions of Data Structures and Algorithms Using Visual Basic.Net by Michael McMillan

    Publisher: Cambridge University Press
    Publication Date: 3/7/2005 12:00:00 AM
    ISBN13: 9780521547659, 978-0521547659
    ISBN10: 0521547652

    Description

    Book Synopsis
    At last, the VB.NET programmer has a dedicated reference - no more translating elementary material from C++ or Java. This is the only VB.NET book that provides comprehensive discussions of the major data structures and algorithms from the .NET Framework Class Library, as well as those that the programmer must develop.

    Trade Review
    “Choosing which data structure and sorting algorithms to use can have a great effect on the speed of the program. This book helps programmers make those choices. This book begins with an introduction to properties and classes in VB.NET. It also describes the creation of a timing test in the VB.NET environment, which is used repeatedly in later chapters to demonstrate how different structures and searching techniques can change program completion time. This little bit of code is the prize inside, since it can be used whenever timing of VB.NET programming is needed…[This book] thoroughly covers the basics, and some more advanced topics of data structures and searching algorithms, using VB.NET with a minimalist approach.” Computing Reviews

    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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