Data Structures In Programming Languages

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Data Structures And Algorithms In C

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Author : Yujing He
language : en
Publisher: CreateSpace
Release Date : 2012-06-25

Data Structures And Algorithms In C written by Yujing He and has been published by CreateSpace this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-06-25 with Computers categories.

Data structure is a way to represent the storage and the organization of data in the computer for programming languages to easily access the data and process the data within. There are several kinds of data structures that are very commonly used: Array, List, Queue, Stack, Binary Tree, and Set that we will discuss here. Different data structure has its own characteristics. These data structures are used in most programming languages. Here we will use the C# language to represent those data structures and see how to use them.

Data Structures And Programming

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Author : Malcolm C. Harrison
language : en
Publisher: Pearson Scott Foresman
Release Date : 1973

Data Structures And Programming written by Malcolm C. Harrison and has been published by Pearson Scott Foresman this book supported file pdf, txt, epub, kindle and other format this book has been release on 1973 with Computers categories.

Java Data Structures And Programming

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Author : Liwu Li
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06

Java Data Structures And Programming written by Liwu Li and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Computers categories.

This book is written for practitioners of software development and for students of computer science who are interested in using the Java language to construct data structures. The book assumes general knowledge of computer programming but no experience of Java programming or object modeling for the readers. It intro duces the Java language and object model by going through examples of data modeling. The book emphasizes programming skills for developing various types of data structure and fundamental techniques for complexity analysis. The program ming skills are necessary for software development. The analysis techniques are needed to ensure performance of programs. The author has been responsible for teaching a data structure course for years. The book carries out his expectations for proficiency in both programming and complexity analysis from students. Several features of the book distinguish it from other books on data struc tures. A challenge for the book is relating the complexity analysis to the Java Virtual Machine, which isolates Java programmers from platform issues. The book devotes a chapter to discuss the structure of Java class files and the Java Virtual Machine. The book presents the problem of maximum flow and imple ments algorithms in Java to evaluate maximum flow for networks. It introduces persistent data structures, which may be included by some practitioners in their projects.

Handbook Of Data Structures And Applications

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Author : Dinesh P. Mehta
language : en
Publisher: CRC Press
Release Date : 2004-10-28

Handbook Of Data Structures And Applications written by Dinesh P. Mehta and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-10-28 with Computers categories.

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.

Data Structures Computer Graphics And Pattern Recognition

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Author : A. Klinger
language : en
Publisher: Academic Press
Release Date : 2014-05-10

Data Structures Computer Graphics And Pattern Recognition written by A. Klinger and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-10 with Reference categories.

Data Structures, Computer Graphics, and Pattern Recognition focuses on the computer graphics and pattern recognition applications of data structures methodology. This book presents design related principles and research aspects of the computer graphics, system design, data management, and pattern recognition tasks. The topics include the data structure design, concise structuring of geometric data for computer aided design, and data structures for pattern recognition algorithms. The survey of data structures for computer graphics systems, application of relational data structures in computer graphics, and observations on linguistics for scene analysis are also elaborated. This text likewise covers the design of satellite graphics systems, interactive image segmentation, surface representation for computer aided design, and error-correcting parsing for syntactic pattern recognition. This publication is valuable to practitioners in data structures, particularly those who are applying real computer systems to problems involving image, speech, and medical data.

Mastering Data Structures Through C Language

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Author : J. B. Dixit
language : en
Publisher: Laxmi Publications, Ltd.
Release Date : 2010-08

Mastering Data Structures Through C Language written by J. B. Dixit and has been published by Laxmi Publications, Ltd. this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-08 with categories.

Data Structure Programming

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Author : Joseph Bergin
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06

Data Structure Programming written by Joseph Bergin and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Computers categories.

Once programmers have grasped the basics of object-oriented programming and C++, the most important tool that they have at their disposal is the Standard Template Library (STL). This provides them with a library of re-usable objects and standard data structures. It has recently been accepted by the C++ Standards Committee. This textbook is an introduction to data structures and the STL. It provides a carefully integrated discussion of general data structures and their implementation and use in the STL. In so doing, the author is able to teach readers the important features of abstraction and how to develop applications using the STL.

Objects Abstraction Data Structures And Design

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Author : Elliot B. Koffman
language : en
Publisher: John Wiley & Sons
Release Date : 2005-10-20

Objects Abstraction Data Structures And Design written by Elliot B. Koffman and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-10-20 with Computers categories.

Koffman and Wolfgang introduce data structures in the context of C++ programming. They embed the design and implementation of data structures into the practice of sound software design principles that are introduced early and reinforced by 20 case studies. Data structures are introduced in the C++ STL format whenever possible. Each new data structure is introduced by describing its interface in the STL. Next, one or two simpler applications are discussed then the data structure is implemented following the interface previously introduced. Finally, additional advanced applications are covered in the case studies, and the cases use the STL. In the implementation of each data structure, the authors encourage students to perform a thorough analysis of the design approach and expected performance before actually undertaking detailed design and implementation. Students gain an understanding of why different data structures are needed, the applications they are suited for, and the advantages and disadvantages of their possible implementations. Case studies follow a five-step process (problem specification, analysis, design, implementation, and testing) that has been adapted to object-oriented programming. Students are encouraged to think critically about the five-step process and use it in their problem solutions. Several problems have extensive discussions of testing and include methods that automate the testing process. Some cases are revisited in later chapters and new solutions are provided that use different data structures. The text assumes a first course in programming and is designed for Data Structures or the second course in programming, especially those courses that include coverage of OO design and algorithms. A C++ primer is provided for students who have taken a course in another programming language or for those who need a review in C++. Finally, more advanced coverage of C++ is found in an appendix. Course Hierarchy: Course is the second course in the CS curriculum Required of CS majors Course names include Data Structures and Data Structures & Algorithms

Automatic Coding Choice Of Data Structures

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Author : LOW
language : en
Publisher: Birkhäuser
Release Date : 2013-12-20

Automatic Coding Choice Of Data Structures written by LOW and has been published by Birkhäuser this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-12-20 with Social Science categories.

1.0 2 information structures, and the runtime efficiency available using lower level data structures. We believe these runtime inefficiencies can be remedied by providing a library of representations for the information structures and a user assisted automatic system to choose appropriate elements from this library for the user's programs. The main problems in such an automatic approach are: 1). Building a library of representations; 2). Characterizing the properties of these representations; 3). understanding how the user's program actually uses the abstract information structures; and -4). efficiently matching the user program needs with the properties of the known representations. The research reported here is an attempt to demonstrate the feasibility of such automatic representation selection. We allow the user to express data in terms of relations, sets, and sequences. Our system then obtains information by analysis of the program, execution statement profiles and interrogation of the user. Using that information, the system selects efficient (in terms of time and space) low level implementations for the user's information structures from a fixed library of information structure representations. Though we have considered only a few abstract information structures (those available in our programming language, SAIL) we believe the techniques used in this system are generally applicable.

The Go Programming Language

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Author : Alan A. A. Donovan
language : en
Publisher: Addison-Wesley Professional
Release Date : 2015-11-16

The Go Programming Language written by Alan A. A. Donovan and has been published by Addison-Wesley Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-11-16 with Computers categories.

The Go Programming Language is the authoritative resource for any programmer who wants to learn Go. It shows how to write clear and idiomatic Go to solve real-world problems. The book does not assume prior knowledge of Go nor experience with any specific language, so you’ll find it accessible whether you’re most comfortable with JavaScript, Ruby, Python, Java, or C++. The first chapter is a tutorial on the basic concepts of Go, introduced through programs for file I/O and text processing, simple graphics, and web clients and servers. Early chapters cover the structural elements of Go programs: syntax, control flow, data types, and the organization of a program into packages, files, and functions. The examples illustrate many packages from the standard library and show how to create new ones of your own. Later chapters explain the package mechanism in more detail, and how to build, test, and maintain projects using the go tool. The chapters on methods and interfaces introduce Go’s unconventional approach to object-oriented programming, in which methods can be declared on any type and interfaces are implicitly satisfied. They explain the key principles of encapsulation, composition, and substitutability using realistic examples. Two chapters on concurrency present in-depth approaches to this increasingly important topic. The first, which covers the basic mechanisms of goroutines and channels, illustrates the style known as communicating sequential processes for which Go is renowned. The second covers more traditional aspects of concurrency with shared variables. These chapters provide a solid foundation for programmers encountering concurrency for the first time. The final two chapters explore lower-level features of Go. One covers the art of metaprogramming using reflection. The other shows how to use the unsafe package to step outside the type system for special situations, and how to use the cgo tool to create Go bindings for C libraries. The book features hundreds of interesting and practical examples of well-written Go code that cover the whole language, its most important packages, and a wide range of applications. Each chapter has exercises to test your understanding and explore extensions and alternatives. Source code is freely available for download from http://gopl.io/ and may be conveniently fetched, built, and installed using the go get command.