Related tags: Data [+], and [+], Algorithms [+], in [+], Using [+], Demystified [+], of [+], Handbook [+]
Once you’ve learned to program, you run into real-world problems that require more than a programming language alone to solve. Data Structures and Algorithms in Java is a gentle immersion into the most practical ways to make data do what you want it to do. Lafore’s relaxed mastery of the techniques comes through as though [...]
Whether you are an entry-level or seasoned designer or programmer, learn all about data structures in this easy-to-understand, self-teaching guide that can be directly applied to any programming language. From memory and addresses to hashtables, authors Keogh and Davidson, provide clear explanations that demystify this "algebra of programming."
If you've been searching for that quick, easy-to-understand guide to walk you through data structures, look no further. Data Structures Demystified is all these things and more. Whether you're trying to program stacks and linked lists or figure out hashtables, here you'll find step-by-step instructions to get the job done fast.
No longer will you have to wade through thick, dry, academic tomes, heavy on technical language and information you don't need. In Data Structures Demystified, each chapter starts off with an example from everyday life to demonstrate upcoming concepts, making this a totally accessible read. The authors go a step further and offer examples at the end of the chapter illustrating what you've just learned in Java and C++.
This one-of-a-kind self-teaching text offers:
* An easy way to understand data structures
* A quiz at the end of each chapter
* A final exam at the end of the book
* No unnecessary technical jargon
* A time-saving approach
Table of Contents
Data Structures Demystified
Introduction
Chapter 1 - Memory, Abstract Data Types, and Addresses
Chapter 2 - The Point Abou Read more...
Author(s) : Michael McMillan
Publisher : Cambridge
Year : Mar 2005
ISBN 10 : 0521547652
ISBN 13 : 9780521547659
Language : English
Pages : 412
File type : PDF
Size : 1.2 MB
This is the first Visual Basic.NET (VB.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 and 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 that must be developed by the programmer.
This book is written primarily as a practical overview of the data structures and algorithms all serious computer programmers need to know and understand. Given this, there is no formal analysis of the data structures and algorithms covered in the book. Hence, there is not a single mathematical formula and not one mention of Big O analysis (for the latter the reader is referred to any of the books listed in the bibliography). Instead, the various data structures and algorithms are presented as problem-solving tools. We use simple timing tests to compare the performance of the data structures and algorithms discussed in the book.
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 Visual Basic programmer.
TABLE OF CONTENT:
Chapter 01 - Collections
Chapter 02 - Arrays and ArrayLists
Chapter 03 - Basic Sorting Algorithms
Chapter 04 - Basic Searching Algorithms
Chapter 05 - Stacks and Queues
Chapter 06 - The BitArray Class
Chapter 07 - Strings, the String Class, and the StringBuilder Class
Chapter 08 - Pattern Matching and Text Processing
Chapter 09 - Building Dictionaries
Chapter 10 - Hashing and the HashTable Class
Chapter 11 - Linked Lists
Chapter 12 - Binary Trees and Binary Search Trees
Chapter 13 - Sets
Chapter 14 - Advanced Sorting Algorithms
Chapter 15 - Advanced Data Structures and Algorithms for Searching
Chapter 16 - Graphs and Graph Algorithms
Chapter 17 - Advanced Algorithms
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ganelon
Data Structures DemystifiedMcgraw-Hill Osborne Media; 1 edition | ISBN: 0072253592 | 300 pages | February 27, 2004 | CHM Whether you are an entry-level or seasoned designer or programmer, learn all about data structures in this easy-to-understand, self-teaching guide that can be directly applied to any programming language. From memory and addresses to hashtables, authors Keogh [...]
Author(s) : Michael McMillan
Publisher : Cambridge
Year : Mar 2005
ISBN 10 : 0521547652
ISBN 13 : 9780521547659
Language : English
Pages : 412
File type : PDF
Size : 1.2 MB
This is the first Visual Basic.NET (VB.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 and 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 that must be developed by the programmer.
This book is written primarily as a practical overview of the data structures and algorithms all serious computer programmers need to know and understand. Given this, there is no formal analysis of the data structures and algorithms covered in the book. Hence, there is not a single mathematical formula and not one mention of Big O analysis (for the latter the reader is referred to any of the books listed in the bibliography). Instead, the various data structures and algorithms are presented as problem-solving tools. We use simple timing tests to compare the performance of the data structures and algorithms discussed in the book.
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 Visual Basic programmer.
TABLE OF CONTENT:
Chapter 01 - Collections
Chapter 02 - Arrays and ArrayLists
Chapter 03 - Basic Sorting Algorithms
Chapter 04 - Basic Searching Algorithms
Chapter 05 - Stacks and Queues
Chapter 06 - The BitArray Class
Chapter 07 - Strings, the String Class, and the StringBuilder Class
Chapter 08 - Pattern Matching and Text Processing
Chapter 09 - Building Dictionaries
Chapter 10 - Hashing and the HashTable Class
Chapter 11 - Linked Lists
Chapter 12 - Binary Trees and Binary Search Trees
Chapter 13 - Sets
Chapter 14 - Advanced Sorting Algorithms
Chapter 15 - Advanced Data Structures and Algorithms for Searching
Chapter 16 - Graphs and Graph Algorithms
Chapter 17 - Advanced Algorithms
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ganelon
Publisher: Sams; 2 edition
Language: English
ISBN: 0672324539
Paperback: 800 pages
Data: November 16, 2002
Format: PDF
Description: Data Structures and Algorithms in Java, Second Edition is designed to be easy to read and understand although the topic itself is complicated. Algorithms are the procedures that software programs use to manipulate data structures. Besides clear and simple example programs, the author includes a workshop as a small demonstration program executable on a Web browser. The programs demonstrate in graphical form what data structures look like and how they operate. In the second edition, the program is rewritten to improve operation and clarify the algorithms, the example programs are revised to work with the latest version of the Java JDK, and questions and exercises will be added at the end of each chapter making the book even more useful.
Publisher: Chapman & Hall/CRC; 1 edition
Language: English
ISBN: 1584884355
Paperback: 1392 pages
Data: October 28, 2004
Format: PDF
Description: Although there are many advanced and specialized texts and handbooks on algorithms, until now there was no book that focused exclusively on the wide variety of data structures that have been reported in the literature. The Handbook of Data Structures and Applications responds to the needs of students, professionals, and researchers who need a mainstream reference on data structures by providing a comprehensive survey of data structures of various types. Divided into seven parts, the text begins with a review of introductory material, followed by a discussion of well-known classes of data structures, Priority Queues, Dictionary Structures, and Multidimensional structures. The editors next analyze miscellaneous data structures, which are well-known structures that elude easy classification. The book then addresses mechanisms and tools that were developed to facilitate the use of data structures in real programs. It concludes with an examination of the applications of data structures. The Handbook is invaluable in suggesting new ideas for research in data structures, and for revealing application contexts in which they can be deployed. Practitioners devising algorithms will gain insight into organizing data, allowing them to solve algorithmic problems more efficiently.
