Compact Data Structures

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Compact Data Structures

Author : Gonzalo Navarro
Publisher : Cambridge University Press
ISBN 13 : 1316791009
Total Pages : 575 pages
Book Rating : 4.3/5 (167 download)

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Book Synopsis Compact Data Structures by : Gonzalo Navarro

Download or read book Compact Data Structures written by Gonzalo Navarro and published by Cambridge University Press. This book was released on 2016-09-08 with total page 575 pages. Available in PDF, EPUB and Kindle. Book excerpt: Compact data structures help represent data in reduced space while allowing it to be queried, navigated, and operated in compressed form. They are essential tools for efficiently handling massive amounts of data by exploiting the memory hierarchy. They also reduce the resources needed in distributed deployments and make better use of the limited memory in low-end devices. The field has developed rapidly, reaching a level of maturity that allows practitioners and researchers in application areas to benefit from the use of compact data structures. This first comprehensive book on the topic focuses on the structures that are most relevant for practical use. Readers will learn how the structures work, how to choose the right ones for their application scenario, and how to implement them. Researchers and students in the area will find in the book a definitive guide to the state of the art in compact data structures.

Space-Efficient Data Structures, Streams, and Algorithms

Author : Andrej Brodnik
Publisher : Springer
ISBN 13 : 3642402739
Total Pages : 363 pages
Book Rating : 4.6/5 (424 download)

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Book Synopsis Space-Efficient Data Structures, Streams, and Algorithms by : Andrej Brodnik

Download or read book Space-Efficient Data Structures, Streams, and Algorithms written by Andrej Brodnik and published by Springer. This book was released on 2013-08-13 with total page 363 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Festschrift volume, published in honour of J. Ian Munro, contains contributions written by some of his colleagues, former students, and friends. In celebration of his 66th birthday the colloquium "Conference on Space Efficient Data Structures, Streams and Algorithms" was held in Waterloo, ON, Canada, during August 15-16, 2013. The articles presented herein cover some of the main topics of Ian's research interests. Together they give a good overall perspective of the last 40 years of research in algorithms and data structures.

Compact Data Structures

Author : Gonzalo Navarro
Publisher : Cambridge University Press
ISBN 13 : 1107152380
Total Pages : 575 pages
Book Rating : 4.1/5 (71 download)

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Book Synopsis Compact Data Structures by : Gonzalo Navarro

Download or read book Compact Data Structures written by Gonzalo Navarro and published by Cambridge University Press. This book was released on 2016-09-08 with total page 575 pages. Available in PDF, EPUB and Kindle. Book excerpt: This practical, applications-oriented book describes essential tools for efficiently handling massive amounts of data.

The Design of Dynamic Data Structures

Author : Mark H. Overmars
Publisher : Springer Science & Business Media
ISBN 13 : 9783540123309
Total Pages : 194 pages
Book Rating : 4.1/5 (233 download)

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Book Synopsis The Design of Dynamic Data Structures by : Mark H. Overmars

Download or read book The Design of Dynamic Data Structures written by Mark H. Overmars and published by Springer Science & Business Media. This book was released on 1983 with total page 194 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Advanced R

Author : Hadley Wickham
Publisher : CRC Press
ISBN 13 : 1498759807
Total Pages : 476 pages
Book Rating : 4.4/5 (987 download)

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Book Synopsis Advanced R by : Hadley Wickham

Download or read book Advanced R written by Hadley Wickham and published by CRC Press. This book was released on 2015-09-15 with total page 476 pages. Available in PDF, EPUB and Kindle. Book excerpt: An Essential Reference for Intermediate and Advanced R Programmers Advanced R presents useful tools and techniques for attacking many types of R programming problems, helping you avoid mistakes and dead ends. With more than ten years of experience programming in R, the author illustrates the elegance, beauty, and flexibility at the heart of R. The book develops the necessary skills to produce quality code that can be used in a variety of circumstances. You will learn: The fundamentals of R, including standard data types and functions Functional programming as a useful framework for solving wide classes of problems The positives and negatives of metaprogramming How to write fast, memory-efficient code This book not only helps current R users become R programmers but also shows existing programmers what’s special about R. Intermediate R programmers can dive deeper into R and learn new strategies for solving diverse problems while programmers from other languages can learn the details of R and understand why R works the way it does.

An Introduction to Data Structures and Algorithms

Author : J.A. Storer
Publisher : Springer Science & Business Media
ISBN 13 : 146120075X
Total Pages : 609 pages
Book Rating : 4.4/5 (612 download)

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Book Synopsis An Introduction to Data Structures and Algorithms by : J.A. Storer

Download or read book An Introduction to Data Structures and Algorithms written by J.A. Storer and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 609 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data structures and algorithms are presented at the college level in a highly accessible format that presents material with one-page displays in a way that will appeal to both teachers and students. The thirteen chapters cover: Models of Computation, Lists, Induction and Recursion, Trees, Algorithm Design, Hashing, Heaps, Balanced Trees, Sets Over a Small Universe, Graphs, Strings, Discrete Fourier Transform, Parallel Computation. Key features: Complicated concepts are expressed clearly in a single page with minimal notation and without the "clutter" of the syntax of a particular programming language; algorithms are presented with self-explanatory "pseudo-code." * Chapters 1-4 focus on elementary concepts, the exposition unfolding at a slower pace. Sample exercises with solutions are provided. Sections that may be skipped for an introductory course are starred. Requires only some basic mathematics background and some computer programming experience. * Chapters 5-13 progress at a faster pace. The material is suitable for undergraduates or first-year graduates who need only review Chapters 1 -4. * This book may be used for a one-semester introductory course (based on Chapters 1-4 and portions of the chapters on algorithm design, hashing, and graph algorithms) and for a one-semester advanced course that starts at Chapter 5. A year-long course may be based on the entire book. * Sorting, often perceived as rather technical, is not treated as a separate chapter, but is used in many examples (including bubble sort, merge sort, tree sort, heap sort, quick sort, and several parallel algorithms). Also, lower bounds on sorting by comparisons are included with the presentation of heaps in the context of lower bounds for comparison-based structures. * Chapter 13 on parallel models of computation is something of a mini-book itself, and a good way to end a course. Although it is not clear what parallel

Small Summaries for Big Data

Author : Graham Cormode
Publisher : Cambridge University Press
ISBN 13 : 1108477445
Total Pages : 279 pages
Book Rating : 4.1/5 (84 download)

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Book Synopsis Small Summaries for Big Data by : Graham Cormode

Download or read book Small Summaries for Big Data written by Graham Cormode and published by Cambridge University Press. This book was released on 2020-11-12 with total page 279 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive introduction to flexible, efficient tools for describing massive data sets to improve the scalability of data analysis.

Construction of Fundamental Data Structures for Strings

Author : Felipe A. Louza
Publisher : Springer Nature
ISBN 13 : 3030551083
Total Pages : 104 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis Construction of Fundamental Data Structures for Strings by : Felipe A. Louza

Download or read book Construction of Fundamental Data Structures for Strings written by Felipe A. Louza and published by Springer Nature. This book was released on 2020-10-07 with total page 104 pages. Available in PDF, EPUB and Kindle. Book excerpt: This books reviews recent theoretical and practical advances on suffix sorting and introduces algorithmic solutions to problems of wide interest for the construction of fundamental data structures that operate efficiently on strings namely, constructing the suffix array, the longest common prefix (LCP) array, the document array and the Lyndon array. These data structures are the cornerstone of many algorithmic solutions in Bioiformatics, Information Retrieval and Data Compression. This book introduces the relevant problem areas, their importance, the notation and related algorithms and then presents the algorithmic solutions for indexing data structure constructions. This book is intended for graduate students, researchers and practitioners from Computer Science and Bioinformatics with a strong interest in algorithmic aspects.

Data Structures and Algorithms: A First Course

Author : Iain T. Adamson
Publisher : Springer Science & Business Media
ISBN 13 : 1447110234
Total Pages : 412 pages
Book Rating : 4.4/5 (471 download)

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Book Synopsis Data Structures and Algorithms: A First Course by : Iain T. Adamson

Download or read book Data Structures and Algorithms: A First Course written by Iain T. Adamson and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 412 pages. Available in PDF, EPUB and Kindle. Book excerpt: All young computer scientists who aspire to write programs must learn something about algorithms and data structures. This book does exactly that. Based on lecture courses developed by the author over a number of years the book is written in an informal and friendly way specifically to appeal to students. The book is divided into four parts: the first on Data Structures introduces a variety of structures and the fundamental operations associated with them, together with descriptions of how they are implemented in Pascal; the second discusses algorithms and the notion of complexity; Part III is concerned with the description of successively more elaborate structures for the storage of records and algorithms for retrieving a record from such a structure by means of its key; and finally, Part IV consists of very full solutions to nearly all the exercises in the book.

Guide to Data Structures

Author : James T. Streib
Publisher : Springer
ISBN 13 : 3319700855
Total Pages : 376 pages
Book Rating : 4.3/5 (197 download)

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Book Synopsis Guide to Data Structures by : James T. Streib

Download or read book Guide to Data Structures written by James T. Streib and published by Springer. This book was released on 2017-12-30 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: This accessible and engaging textbook/guide provides a concise introduction to data structures and associated algorithms. Emphasis is placed on the fundamentals of data structures, enabling the reader to quickly learn the key concepts, and providing a strong foundation for later studies of more complex topics. The coverage includes discussions on stacks, queues, lists, (using both arrays and links), sorting, and elementary binary trees, heaps, and hashing. This content is also a natural continuation from the material provided in the separate Springer title Guide to Java by the same authors.Topics and features: reviews the preliminary concepts, and introduces stacks and queues using arrays, along with a discussion of array-based lists; examines linked lists, the implementation of stacks and queues using references, binary trees, a range of varied sorting techniques, heaps, and hashing; presents both primitive and generic data types in each chapter, and makes use of contour diagrams to illustrate object-oriented concepts; includes chapter summaries, and asks the reader questions to help them interact with the material; contains numerous examples and illustrations, and one or more complete program in every chapter; provides exercises at the end of each chapter, as well as solutions to selected exercises, and a glossary of important terms. This clearly-written work is an ideal classroom text for a second semester course in programming using the Java programming language, in preparation for a subsequent advanced course in data structures and algorithms. The book is also eminently suitable as a self-study guide in either academe or industry.

Open Data Structures

Author : Pat Morin
Publisher : Athabasca University Press
ISBN 13 : 1927356385
Total Pages : 336 pages
Book Rating : 4.9/5 (273 download)

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Book Synopsis Open Data Structures by : Pat Morin

Download or read book Open Data Structures written by Pat Morin and published by Athabasca University Press. This book was released on 2013 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction -- Array-based lists -- Linked lists -- Skiplists -- Hash tables -- Binary trees -- Random binary search trees -- Scapegoat trees -- Red-black trees -- Heaps -- Sorting algorithms -- Graphs -- Data structures for integers -- External memory searching.

Data Structures and Algorithms in Swift

Author : Elshad Karimov
Publisher : Apress
ISBN 13 : 1484257693
Total Pages : 215 pages
Book Rating : 4.4/5 (842 download)

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Book Synopsis Data Structures and Algorithms in Swift by : Elshad Karimov

Download or read book Data Structures and Algorithms in Swift written by Elshad Karimov and published by Apress. This book was released on 2020-03-25 with total page 215 pages. Available in PDF, EPUB and Kindle. Book excerpt: Control the performance and stability of the apps you develop in Swift by working with and understanding advanced concepts in data structures and algorithms. All professional developers have to know which data structure and algorithms to use in their development process. Your choice directly affects the performance of your application. With this book, you’ll increase the performance of your software, become a better developer, and even pass tricky interview questions better when looking at professional development opportunities. Guided by compact and practical chapters, you'll learn the nature and proper use of data structures such as arrays, dictionaries, sets, stacks, queues, lists, hash tables, trie, heaps, binary trees, red black trees, and R-trees. Use the main differences among them to determine which will make your applications efficient and faster. Then tackle algorithms. Work with Big O notation; sorting algorithms such as Insertion, Merge, and Quick; Naive and Rabin Karp algorithms; and Graph Algorithms. Data Structures and Algorithms in Swift encourages you to further and understand how to best choose the perfect algorithm for your application’s needs. What You'll Learn Retrieve, add, and remove elements in arraysImplement stacks, queues, and lists in your appsSort algorithms and choose the best ones for your apps Who This Book Is For Developers who have intermediate knowledge in Swift and want to improve their code performance and pass more complex interviews

Genetic Programming and Data Structures

Author : W.B. Langdon
Publisher : Springer Science & Business Media
ISBN 13 : 9780792381358
Total Pages : 298 pages
Book Rating : 4.3/5 (813 download)

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Book Synopsis Genetic Programming and Data Structures by : W.B. Langdon

Download or read book Genetic Programming and Data Structures written by W.B. Langdon and published by Springer Science & Business Media. This book was released on 1998-04-30 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computers that `program themselves' has long been an aim of computer scientists. Recently genetic programming (GP) has started to show its promise by automatically evolving programs. Indeed in a small number of problems GP has evolved programs whose performance is similar to or even slightly better than that of programs written by people. The main thrust of GP has been to automatically create functions. While these can be of great use they contain no memory and relatively little work has addressed automatic creation of program code including stored data. This issue is the main focus of Genetic Programming, and Data Structures: Genetic Programming + Data Structures = Automatic Programming!. This book is motivated by the observation from software engineering that data abstraction (e.g., via abstract data types) is essential in programs created by human programmers. This book shows that abstract data types can be similarly beneficial to the automatic production of programs using GP. Genetic Programming and Data Structures: Genetic Programming + Data Structures = Automatic Programming! shows how abstract data types (stacks, queues and lists) can be evolved using genetic programming, demonstrates how GP can evolve general programs which solve the nested brackets problem, recognises a Dyck context free language, and implements a simple four function calculator. In these cases, an appropriate data structure is beneficial compared to simple indexed memory. This book also includes a survey of GP, with a critical review of experiments with evolving memory, and reports investigations of real world electrical network maintenance scheduling problems that demonstrate that Genetic Algorithms can find low cost viable solutions to such problems. Genetic Programming and Data Structures: Genetic Programming + Data Structures = Automatic Programming! should be of direct interest to computer scientists doing research on genetic programming, genetic algorithms, data structures, and artificial intelligence. In addition, this book will be of interest to practitioners working in all of these areas and to those interested in automatic programming.

Algorithms and Data Structures in VLSI Design

Author : Christoph Meinel
Publisher : Springer Science & Business Media
ISBN 13 : 3642589405
Total Pages : 271 pages
Book Rating : 4.6/5 (425 download)

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Book Synopsis Algorithms and Data Structures in VLSI Design by : Christoph Meinel

Download or read book Algorithms and Data Structures in VLSI Design written by Christoph Meinel and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 271 pages. Available in PDF, EPUB and Kindle. Book excerpt: One of the main problems in chip design is the enormous number of possible combinations of individual chip elements within a system, and the problem of their compatibility. The recent application of data structures, efficient algorithms, and ordered binary decision diagrams (OBDDs) has proven vital in designing the computer chips of tomorrow. This book provides an introduction to the foundations of this interdisciplinary research area, emphasizing its applications in computer aided circuit design.

Hyperspectral Data Compression

Author : Giovanni Motta
Publisher : Springer Science & Business Media
ISBN 13 : 0387286004
Total Pages : 422 pages
Book Rating : 4.3/5 (872 download)

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Book Synopsis Hyperspectral Data Compression by : Giovanni Motta

Download or read book Hyperspectral Data Compression written by Giovanni Motta and published by Springer Science & Business Media. This book was released on 2006-06-03 with total page 422 pages. Available in PDF, EPUB and Kindle. Book excerpt: Hyperspectral Data Compression provides a survey of recent results in the field of compression of remote sensed 3D data, with a particular interest in hyperspectral imagery. Chapter 1 addresses compression architecture, and reviews and compares compression methods. Chapters 2 through 4 focus on lossless compression (where the decompressed image must be bit for bit identical to the original). Chapter 5, contributed by the editors, describes a lossless algorithm based on vector quantization with extensions to near lossless and possibly lossy compression for efficient browning and pure pixel classification. Chapter 6 deals with near lossless compression while. Chapter 7 considers lossy techniques constrained by almost perfect classification. Chapters 8 through 12 address lossy compression of hyperspectral imagery, where there is a tradeoff between compression achieved and the quality of the decompressed image. Chapter 13 examines artifacts that can arise from lossy compression.

New Geometric Data Structures for Collision Detection and Haptics

Author : René Weller
Publisher : Springer Science & Business Media
ISBN 13 : 3319010204
Total Pages : 240 pages
Book Rating : 4.3/5 (19 download)

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Book Synopsis New Geometric Data Structures for Collision Detection and Haptics by : René Weller

Download or read book New Geometric Data Structures for Collision Detection and Haptics written by René Weller and published by Springer Science & Business Media. This book was released on 2013-07-12 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: Starting with novel algorithms for optimally updating bounding volume hierarchies of objects undergoing arbitrary deformations, the author presents a new data structure that allows, for the first time, the computation of the penetration volume. The penetration volume is related to the water displacement of the overlapping region, and thus corresponds to a physically motivated and continuous force. The practicability of the approaches used is shown by realizing new applications in the field of robotics and haptics, including a user study that evaluates the influence of the degrees of freedom in complex haptic interactions. New Geometric Data Structures for Collision Detection and Haptics closes by proposing an open source benchmarking suite that evaluates both the performance and the quality of the collision response in order to guarantee a fair comparison of different collision detection algorithms. Required in the fields of computer graphics, physically-based simulations, computer animations, robotics and haptics, collision detection is a fundamental problem that arises every time we interact with virtual objects. Some of the open challenges associated with collision detection include the handling of deformable objects, the stable computation of physically-plausible contact information, and the extremely high frequencies that are required for haptic rendering. New Geometric Data Structures for Collision Detection and Haptics presents new solutions to all of these challenges, and will prove to be a valuable resource for researchers and practitioners of collision detection in the haptics, robotics and computer graphics and animation domains.

DATA STRUCTURES IN C++

Author : N. S. KUTTI
Publisher : PHI Learning Pvt. Ltd.
ISBN 13 : 9788120314436
Total Pages : 220 pages
Book Rating : 4.3/5 (144 download)

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Book Synopsis DATA STRUCTURES IN C++ by : N. S. KUTTI

Download or read book DATA STRUCTURES IN C++ written by N. S. KUTTI and published by PHI Learning Pvt. Ltd.. This book was released on 1998-01-01 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.