The Design Of Dynamic Data Structures

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The Design of Dynamic Data Structures

Author : Mark H. Overmars
Publisher : Springer Science & Business Media
Page : 194 pages
File Size : 52,9 Mb
Release : 1983
Category : Computers
ISBN : 354012330X

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The Design of Dynamic Data Structures by Mark H. Overmars Pdf

In numerous computer applications there is a need of storing large sets of objects in such a way that some questions about those objects can be answered efficiently. Data structures that store such sets of objects can be either static (built for a fixed set of objects) or dynamic (insertions of new objects and deletions of existing objects can be performed). Especially for more complex searching problems as they arise in such fields as computational geometry, database design and computer graphics, only static data structures are available. This book aims at remedying this lack of flexibility by providing a number of general techniques for turning static data structures for searching problems into dynamic structures. Although the approach is basically theoretical, the techniques offered are often practically applicable. The book is written in such a way that it is readable for those who have some elementary knowledge of data structures and algorithms. Although this monograph was first published in 1983, it is still unique as a general treatment of methods for constructing dynamic data structures.

Design of Dynamic Data Structures

Author : Mark H Overmars
Publisher : Unknown
Page : 181 pages
File Size : 45,9 Mb
Release : 1987
Category : Application software
ISBN : OCLC:990667834

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Design of Dynamic Data Structures by Mark H Overmars Pdf

In numerous computer applications there is a need of storing large sets of objects in such a way that some questions about those objects can be answered efficiently. Data structures that store such sets of objects can be either static (built for a fixed set of objects) or dynamic (insertions of new objects and deletions of existing objects can be performed). Especially for more complex searching problems as they arise in such fields as computational geometry, database design and computer graphics, only static data structures are available. This book aims at remedying this lack of flexibility by providing a number of general techniques for turning static data structures for searching problems into dynamic structures. Although the approach is basically theoretical, the techniques offered are often practically applicable. The book is written in such a way that it is readable for those who have some elementary knowledge of data structures and algorithms. Although this monograph was first published in 1983, it is still unique as a general treatment of methods for constructing dynamic data structures.

Dynamic Data Structures

Author : Todd King
Publisher : Unknown
Page : 336 pages
File Size : 52,9 Mb
Release : 1992
Category : Computers
ISBN : UOM:39015025187306

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Dynamic Data Structures by Todd King Pdf

Intended for computer programmers, programming managers, and students, this book deals with the creation, management and use of dynamic data structures - data structures capable of adapting themselves into many different forms by self-modification. Examples are found in C language.

Data Structures and Algorithms in Java

Author : Michael T. Goodrich,Roberto Tamassia,Michael H. Goldwasser
Publisher : John Wiley & Sons
Page : 736 pages
File Size : 41,5 Mb
Release : 2014-01-28
Category : Computers
ISBN : 9781118771334

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Data Structures and Algorithms in Java by Michael T. Goodrich,Roberto Tamassia,Michael H. Goldwasser Pdf

The design and analysis of efficient data structures has long been recognized as a key component of the Computer Science curriculum. Goodrich, Tomassia and Goldwasser's approach to this classic topic is based on the object-oriented paradigm as the framework of choice for the design of data structures. For each ADT presented in the text, the authors provide an associated Java interface. Concrete data structures realizing the ADTs are provided as Java classes implementing the interfaces. The Java code implementing fundamental data structures in this book is organized in a single Java package, net.datastructures. This package forms a coherent library of data structures and algorithms in Java specifically designed for educational purposes in a way that is complimentary with the Java Collections Framework.

Data Structures

Author : Edward M. Reingold,Wilfred J. Hansen
Publisher : Unknown
Page : 474 pages
File Size : 53,9 Mb
Release : 1983
Category : Technology & Engineering
ISBN : UOM:39015006418647

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Data Structures by Edward M. Reingold,Wilfred J. Hansen Pdf

Data structures are central to computer science, and in particular to programming. In the analytic areas, appropriate data structures have been the key to advances in the design of algorithms. Once appropriate data structures are carefully defined, all that remains is routine coding. A comprehensive understanding of data structure techniques is essential in the design of algorithms and programs. This text presents a carefully chosen fraction of available material, but supplement it with a wide variety of exercises. No single book can discuss all known data structures or algorithms. This text presents the art of designing data structures, preparing the student to devise special-purpose structures for specific problems as they present themselves.

Algorithms and Data Structures for External Memory

Author : Jeffrey Scott Vitter
Publisher : Now Publishers Inc
Page : 192 pages
File Size : 44,8 Mb
Release : 2008
Category : Computers
ISBN : 9781601981066

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Algorithms and Data Structures for External Memory by Jeffrey Scott Vitter Pdf

Describes several useful paradigms for the design and implementation of efficient external memory (EM) algorithms and data structures. The problem domains considered include sorting, permuting, FFT, scientific computing, computational geometry, graphs, databases, geographic information systems, and text and string processing.

Data Structures for Raster Graphics

Author : Laurens R.A. Kessener,Frans J. Peters,Marloes L.P.van Lierop
Publisher : Springer Science & Business Media
Page : 204 pages
File Size : 46,9 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9783642710711

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Data Structures for Raster Graphics by Laurens R.A. Kessener,Frans J. Peters,Marloes L.P.van Lierop Pdf

Raster graphics differs from the more traditional vector or line graphics in the sense that images are not made up from line segments but from discrete elements orderly arranged in a two-dimensional rectangular region. There are two reasons for the growing popularity of raster graphics or bit-mapped displays: I) the possibilities they offer to show extremely realistic pictures 2) the dropping prices of those displays and associated processors and memories. With the rise of raster graphics, all kinds of new techniques, methods, algorithms and data representations are associated -such as ray tracing, raster operations, and quadtrees-bringing with them a lot of fruitful research. As stated above raster graphics allows to create extremely realistic (synthesized) pictures. There are important applications in such diverse areas as industrial deSign, flight Simulation, education, image processing and animation. Unfortunately many applications are hampered by the fact that with the present state of the art they reqUire an excessive amount of computing resources. Hence it is worthwhile to investigate methods and techniques which may be of help in redudng computer costs associated with raster graphics applications. Since the choice of data srtuc tures influences the efficiency of algorithms in a crudal way, a workshop was set up in order to bring together a (limited) number of experienced researchers to dis cuss this topic. The workshop was held from 24 to 28 June 1985 at Steensel, a tiny village in the neighbourhood of Eindhoven, the Netherlands.

The Maximum Size of Dynamic Data Structures

Author : Claire M. Kenyon-Mathieu,Jeffrey Scott Vitter,Brown University. Department of Computer Science
Publisher : Unknown
Page : 19 pages
File Size : 49,7 Mb
Release : 1989
Category : Data structures (Computer science)
ISBN : OCLC:24389734

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The Maximum Size of Dynamic Data Structures by Claire M. Kenyon-Mathieu,Jeffrey Scott Vitter,Brown University. Department of Computer Science Pdf

Algorithms and Data Structures

Author : Selim G. Akl
Publisher : Springer Science & Business Media
Page : 536 pages
File Size : 48,5 Mb
Release : 1995-08-02
Category : Computers
ISBN : 3540602208

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Algorithms and Data Structures by Selim G. Akl Pdf

This volume constitutes the proceedings of the Fourth International Workshop on Algorithms and Data Structures, WADS '95, held in Kingston, Canada in August 1995. The book presents 40 full refereed papers selected from a total of 121 submissions together with invited papers by Preparata and Bilardi, Sharir, Toussaint, and Vitanyi and Li. The book addresses various aspects of algorithms, data structures, computational geometry, scheduling, computational graph theory, and searching.

DATA STRUCTURES IN C++

Author : N. S. KUTTI,P. Y. PADHYE
Publisher : PHI Learning Pvt. Ltd.
Page : 220 pages
File Size : 43,6 Mb
Release : 1998-01-01
Category : Computers
ISBN : 8120314433

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DATA STRUCTURES IN C++ by N. S. KUTTI,P. Y. PADHYE Pdf

This compact and comprehensive book provides an introduction to data structures from an object-oriented perspective using the powerful language C++ as the programming vehicle. It is designed as an ideal text for the students before they start designing algorithms in C++. The book begins with an overview of C++, then it goes on to analyze the basic concepts of data structures, and finally focusses the reader's attention on abstract data structures. In so doing, the text uses simple examples to explain the meaning of each data type. Throughout, an attempt has been made to enable students to progress gradually from simple object-oriented abstract data structures to more advanced data structures. A large number of worked examples and the end-of-chapter exercises help the students reinforce the knowledge gained.Intended as a one-semester course for undergraduate students in computer science and for those who offer this course in engineering and management, the book should also prove highly useful to those IT professionals who have a keen interest in the subject.

Programming Persistent Memory

Author : Steve Scargall
Publisher : Apress
Page : 384 pages
File Size : 44,8 Mb
Release : 2020-01-09
Category : Computers
ISBN : 9781484249321

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Programming Persistent Memory by Steve Scargall Pdf

Beginning and experienced programmers will use this comprehensive guide to persistent memory programming. You will understand how persistent memory brings together several new software/hardware requirements, and offers great promise for better performance and faster application startup times—a huge leap forward in byte-addressable capacity compared with current DRAM offerings. This revolutionary new technology gives applications significant performance and capacity improvements over existing technologies. It requires a new way of thinking and developing, which makes this highly disruptive to the IT/computing industry. The full spectrum of industry sectors that will benefit from this technology include, but are not limited to, in-memory and traditional databases, AI, analytics, HPC, virtualization, and big data. Programming Persistent Memory describes the technology and why it is exciting the industry. It covers the operating system and hardware requirements as well as how to create development environments using emulated or real persistent memory hardware. The book explains fundamental concepts; provides an introduction to persistent memory programming APIs for C, C++, JavaScript, and other languages; discusses RMDA with persistent memory; reviews security features; and presents many examples. Source code and examples that you can run on your own systems are included. What You’ll Learn Understand what persistent memory is, what it does, and the value it brings to the industry Become familiar with the operating system and hardware requirements to use persistent memory Know the fundamentals of persistent memory programming: why it is different from current programming methods, and what developers need to keep in mind when programming for persistence Look at persistent memory application development by example using the Persistent Memory Development Kit (PMDK)Design and optimize data structures for persistent memoryStudy how real-world applications are modified to leverage persistent memoryUtilize the tools available for persistent memory programming, application performance profiling, and debugging Who This Book Is For C, C++, Java, and Python developers, but will also be useful to software, cloud, and hardware architects across a broad spectrum of sectors, including cloud service providers, independent software vendors, high performance compute, artificial intelligence, data analytics, big data, etc.

Transforming Static Data Structures to Dynamic Structures

Author : James B. Saxe,Jon Louis Bentley
Publisher : Unknown
Page : 66 pages
File Size : 45,8 Mb
Release : 1979
Category : Data structures (Computer science)
ISBN : OCLC:227439753

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Transforming Static Data Structures to Dynamic Structures by James B. Saxe,Jon Louis Bentley Pdf

In this paper we will investigate transformations that serve as tools in the design of new data structures. Specifically, we study general methods for converting static structures (in which all elements are known before any searches are performed) to dynamic structures (in which insertions of new elements can be mixed with searches). We will exhibit three classes of such transformations, each based on a different counting scheme for representing the integers, and then use a combinatorial model to show the optimality of many of the transformations. Issues such as online data structures and deletion of elements are also examined. To demonstrate the applicability of these tools, we will study six new data structures that have been developed by applying the transformations. (Author).

C++ Data Structures and Algorithm Design Principles

Author : John Carey,Shreyans Doshi,Payas Rajan
Publisher : Packt Publishing Ltd
Page : 626 pages
File Size : 43,5 Mb
Release : 2019-10-31
Category : Computers
ISBN : 9781838827915

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C++ Data Structures and Algorithm Design Principles by John Carey,Shreyans Doshi,Payas Rajan Pdf

Get started with C++ programming by learning how to build applications using its data structures and algorithms Key FeaturesExplore data structures such as arrays, stacks, and graphs with real-world examplesStudy the trade-offs between algorithms and data structures and discover what works and what doesn'tDiscover how techniques such as bloom filters and multi-way heaps boost real-world applicationsBook Description C++ is a mature multi-paradigm programming language that enables you to write high-level code with a high degree of control over the hardware. Today, significant parts of software infrastructure, including databases, browsers, multimedia frameworks, and GUI toolkits, are written in C++. This book starts by introducing C++ data structures and how to store data using linked lists, arrays, stacks, and queues. In later chapters, the book explains the basic algorithm design paradigms, such as the greedy approach and the divide-and-conquer approach, which are used to solve a large variety of computational problems. Finally, you will learn the advanced technique of dynamic programming to develop optimized implementations of several algorithms discussed in the book. By the end of this book, you will have learned how to implement standard data structures and algorithms in efficient and scalable C++ 14 code. What you will learnBuild applications using hash tables, dictionaries, and setsExplore how modern hardware affects the actual run-time performance of programsApply common algorithms such as heapsort and merge sort for string data typesUse C++ template metaprogramming to write code librariesImplement a URL shortening service using a bloom filterUse appropriate modern C++ idioms such as std:: array instead of C-style arraysWho this book is for This book is for developers or students who want to revisit basic data structures and algorithm design techniques. Although no mathematical background is required, basic knowledge of complexity classes and Big O notation along with a qualification in an algorithms course will help you get the most out of this book. Familiarity with C++ 14 standard is assumed.

Handbook of Data Structures and Applications

Author : Dinesh P. Mehta,Sartaj Sahni
Publisher : Taylor & Francis
Page : 2007 pages
File Size : 48,6 Mb
Release : 2018-02-21
Category : Computers
ISBN : 9781351645645

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Handbook of Data Structures and Applications by Dinesh P. Mehta,Sartaj Sahni Pdf

The Handbook of Data Structures and Applications was first published over a decade ago. This second edition aims to update the first by focusing on areas of research in data structures that have seen significant progress. While the discipline of data structures has not matured as rapidly as other areas of computer science, the book aims to update those areas that have seen advances. Retaining the seven-part structure of the first edition, the handbook 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. Four new chapters have been added on Bloom Filters, Binary Decision Diagrams, Data Structures for Cheminformatics, and Data Structures for Big Data Stores, and updates have been made to other chapters that appeared in the first edition. The Handbook is invaluable for 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.