Principles of Data Structures and Algorithms with Pascal PDF Download

Author: Robert R. Korfhage
Publisher: McGraw-Hill Science, Engineering & Mathematics
ISBN:
Category : Computers
Languages : en
Pages : 488

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Book Description

Author: Thomas A. Standish
Publisher: Pearson
ISBN:
Category : Computers
Languages : en
Pages : 778

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Book Description
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: Nell B. Dale
Publisher: Jones & Bartlett Learning
ISBN: 9780669347203
Category : Computers
Languages : en
Pages : 938

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Book Description

Author: Niklaus Wirth
Publisher: Prentice Hall
ISBN: 9780130219992
Category : Algorithms
Languages : en
Pages : 288

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Book Description

Author: Harry R. Lewis
Publisher: Addison Wesley
ISBN:
Category : Computers
Languages : en
Pages : 536

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Book Description
Using only practically useful techniques, this book teaches methods for organizing, reorganizing, exploring, and retrieving data in digital computers, and the mathematical analysis of those techniques. The authors present analyses that are relatively brief and non-technical but illuminate the important performance characteristics of the algorithms. Data Structures and Their Algorithms covers algorithms, not the expression of algorithms in the syntax of particular programming languages. The authors have adopted a pseudocode notation that is readily understandable to programmers but has a simple syntax.

Author: Clifford A. Shaffer
Publisher:
ISBN:
Category : Computers
Languages : en
Pages : 536

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Book Description
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: Vinu V. Das
Publisher: New Age International
ISBN: 8122418589
Category : C (Computer program language)
Languages : en
Pages : 18

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Book Description
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: Langsam
Publisher: Pearson Education India
ISBN: 9788131711484
Category :
Languages : en
Pages : 692

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Book Description

Author: Leendert Ammeraal
Publisher: John Wiley & Sons
ISBN: 9780471917519
Category : C (Computer program language)
Languages : en
Pages : 206

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Book Description
Most books on data structures are based on Pascal. With increased use of C, however, advanced programming techniques including dynamic data structures are found to be more practical and efficient in this language. By using the C language throughout, the author is able to discuss and demonstrate random file access in sorting programs and in programs that manipulate B-trees. The book focusses on useful applications such as storing and retrieving large amounts of data efficiently, and the critical-path method in project planning.

Author: Kurt Mehlhorn
Publisher: Springer Science & Business Media
ISBN: 3540779787
Category : Computers
Languages : en
Pages : 300

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Book Description
Algorithms are at the heart of every nontrivial computer application, and algorithmics is a modern and active area of computer science. Every computer scientist and every professional programmer should know about the basic algorithmic toolbox: structures that allow efficient organization and retrieval of data, frequently used algorithms, and basic techniques for modeling, understanding and solving algorithmic problems. This book is a concise introduction addressed to students and professionals familiar with programming and basic mathematical language. Individual chapters cover arrays and linked lists, hash tables and associative arrays, sorting and selection, priority queues, sorted sequences, graph representation, graph traversal, shortest paths, minimum spanning trees, and optimization. The algorithms are presented in a modern way, with explicitly formulated invariants, and comment on recent trends such as algorithm engineering, memory hierarchies, algorithm libraries and certifying algorithms. The authors use pictures, words and high-level pseudocode to explain the algorithms, and then they present more detail on efficient implementations using real programming languages like C++ and Java. The authors have extensive experience teaching these subjects to undergraduates and graduates, and they offer a clear presentation, with examples, pictures, informal explanations, exercises, and some linkage to the real world. Most chapters have the same basic structure: a motivation for the problem, comments on the most important applications, and then simple solutions presented as informally as possible and as formally as necessary. For the more advanced issues, this approach leads to a more mathematical treatment, including some theorems and proofs. Finally, each chapter concludes with a section on further findings, providing views on the state of research, generalizations and advanced solutions.