[PDF] Data Structures Principles And Fundamentals eBook

Author : Jim Keogh
Publisher : Dreamtech Press
Page : 296 pages
File Size : 49,50 MB
Release : 2004-03-27
Category :
ISBN : 9788177224801

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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 .· Memory, Abstract Data Types, and Addresses· The Point about Variables and Pointers· What Is an Array? · Stacks Using an Array · Queues Using an Array· What is a Linked List? · Stacks Using Linked Lists· Queues Using Linked Lists· Stacks and Queues: Insert, Delete, Peek, Find· What is a Tree? · What is a Hashtable?

Author : Thomas A. Standish
Publisher : Pearson
Page : 778 pages
File Size : 40,25 MB
Release : 1995
Category : Computers
ISBN :

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Using C, this book develops the concepts and theory of data structures and algorithm analysis in a gradual, step-by-step manner, proceeding from concrete examples to abstract principles. Standish covers a wide range of both traditional and contemporary software engineering topics. The text also includes an introduction to object-oriented programming using C++. By introducing recurring themes such as levels of abstraction, recursion, efficiency, representation and trade-offs, the author unifies the material throughout. Mathematical foundations can be incorporated at a variety of depths, allowing the appropriate amount of math for each user.

Author : Vinu V. Das
Publisher : New Age International
Page : 18 pages
File Size : 32,67 MB
Release : 2006
Category : C (Computer program language)
ISBN : 8122418589

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About the Book: Principles of DATA STRUCTURES using C and C++ covers all the fundamental topics to give a better understanding about the subject. The study of data structures is essential to every one who comes across with computer science. This book is written in accordance with the revised syllabus for B. Tech./B.E. (both Computer Science and Electronics branches) and MCA. students of Kerala University, MG University, Calicut University, CUSAT Cochin (deemed) University. NIT Calicut (deemed) University, Anna University, UP Technical University, Amritha Viswa (deemed) Vidyapeeth, Karunya (dee.

Author : Clifford A. Shaffer
Publisher :
Page : 536 pages
File Size : 43,73 MB
Release : 2001
Category : Computers
ISBN :

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This practical text contains fairly "traditional" coverage of data structures with a clear and complete use of algorithm analysis, and some emphasis on file processing techniques as relevant to modern programmers. It fully integrates OO programming with these topics, as part of the detailed presentation of OO programming itself.Chapter topics include lists, stacks, and queues; binary and general trees; graphs; file processing and external sorting; searching; indexing; and limits to computation.For programmers who need a good reference on data structures.

Author : Shmuel T. Klein
Publisher : Cambridge University Press
Page : 233 pages
File Size : 24,26 MB
Release : 2016-10-28
Category : Computers
ISBN : 1107161274

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This concise text offers an accessible, conceptual presentation for students in any quantitative field.

Author : Richard Wiener
Publisher : Cambridge University Press
Page : 484 pages
File Size : 26,99 MB
Release : 2000-06-05
Category : Computers
ISBN : 9780521662208

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A book for an undergraduate course on data structures which integrates the concepts of object-oriented programming and GUI programming.

Author : Ellis Horowitz
Publisher : Computer Science Press, Incorporated
Page : 584 pages
File Size : 42,5 MB
Release : 1983
Category : Computers
ISBN :

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Arrays; Stacks and queues; Linked lists; Trees; Graphs; Internal sorting; External sorting; Symbol tables; Files.

Author : Prabhu TL
Publisher : NestFame Creations Pvt Ltd.
Page : 138 pages
File Size : 14,91 MB
Release :
Category : Computers
ISBN :

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Data structure is a method of collecting and organising data in such a way that we can effectively conduct operations on it. Data Structures are used to organise and store data by presenting data items in terms of some relationship. For example, we have information about a player named "Virat" who is 26 years old. The data types "Virat" and "26" are both String data types. We may organise this information into a record called Player, which will contain both the player's name and age. As a data structure, we can now gather and store player records in a file or database. For instance, "Dhoni" is 30, "Gambhir" is 31, and "Sehwag" is 33. If you're familiar with Object Oriented programming principles, you'll recognise that a class accomplishes the same thing: it aggregates several types of data into a single entity. The only distinction is that data structures give strategies for efficiently accessing and manipulating data. Data Structures, in simple terms, are structures that are programmed to contain ordered data so that various operations may be performed on it quickly. It indicates the data knowledge that needs to be stored in memory. It should be planned and implemented in a way that minimises complexity while increasing efficiency.