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Compact Data Structures
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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.
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.
Book Synopsis Compact Data Structures with Fast Queries by : Daniel K. Blandford
Download or read book Compact Data Structures with Fast Queries written by Daniel K. Blandford and published by . This book was released on 2006 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Data Structures and Algorithms by : Shi Kuo Chang
Download or read book Data Structures and Algorithms written by Shi Kuo Chang and published by World Scientific. This book was released on 2003 with total page 361 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is an excellent, up-to-date and easy-to-use text on data structures and algorithms that is intended for undergraduates in computer science and information science. The thirteen chapters, written by an international group of experienced teachers, cover the fundamental concepts of algorithms and most of the important data structures as well as the concept of interface design. The book contains many examples and diagrams. Whenever appropriate, program codes are included to facilitate learning.This book is supported by an international group of authors who are experts on data structures and algorithms, through its website at http: //www.cs.pitt.edu/ jung/GrowingBook/, so that both teachers and students can benefit from their expertise
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 2001-11-09 with total page 632 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
Book Synopsis Data Structures using C by : Amol M. Jagtap
Download or read book Data Structures using C written by Amol M. Jagtap and published by CRC Press. This book was released on 2021-11-08 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: The data structure is a set of specially organized data elements and functions, which are defined to store, retrieve, remove and search for individual data elements. Data Structures using C: A Practical Approach for Beginners covers all issues related to the amount of storage needed, the amount of time required to process the data, data representation of the primary memory and operations carried out with such data. Data Structures using C: A Practical Approach for Beginners book will help students learn data structure and algorithms in a focused way. Resolves linear and nonlinear data structures in C language using the algorithm, diagrammatically and its time and space complexity analysis Covers interview questions and MCQs on all topics of campus readiness Identifies possible solutions to each problem Includes real-life and computational applications of linear and nonlinear data structures This book is primarily aimed at undergraduates and graduates of computer science and information technology. Students of all engineering disciplines will also find this book useful.
Book Synopsis Basic Concepts in Data Structures by : Shmuel T. Klein
Download or read book Basic Concepts in Data Structures written by Shmuel T. Klein and published by Cambridge University Press. This book was released on 2016-10-28 with total page 233 pages. Available in PDF, EPUB and Kindle. Book excerpt: This concise text offers an accessible, conceptual presentation for students in any quantitative field.
Book Synopsis Purely Functional Data Structures by : Chris Okasaki
Download or read book Purely Functional Data Structures written by Chris Okasaki and published by Cambridge University Press. This book was released on 1999-06-13 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes data structures and data structure design techniques for functional languages.
Book Synopsis Approximate Compact Data Structures and Applications by : Gil Einziger
Download or read book Approximate Compact Data Structures and Applications written by Gil Einziger and published by . This book was released on 2015 with total page 142 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis The Book on Data Structures by : David R. Richardson
Download or read book The Book on Data Structures written by David R. Richardson and published by iUniverse. This book was released on 2002-07-31 with total page 108 pages. Available in PDF, EPUB and Kindle. Book excerpt: The study of data structures is one of the most important for beginning and advanced students studying the theory of computer science. This is a comprehensive guide designed to teach the principles and applications of data structures in a structured format. While other books require you to have an intimate knowledge of a particular programming language, this book teaches this intriguing facet of computer science in a language independent manner. In this first volume, we will discuss all of the important facts and concepts that you would encounter in a data structures 1 course. This makes this particular guide an excellent reference for the student. Also, with the addition of chapter exercises, this text makes an excellent text book for an undergraduate course in data structures.
Book Synopsis Data Structures by : Edward M. Reingold
Download or read book Data Structures written by Edward M. Reingold and published by . This book was released on 1983 with total page 474 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Data Structures and Algorithms by : Knowledge Flow
Download or read book Data Structures and Algorithms written by Knowledge Flow and published by Knowledge Flow. This book was released on 2015-02-28 with total page 44 pages. Available in PDF, EPUB and Kindle. Book excerpt: ★★★★★LEARNING STARTS WITH VIEWING THE WORLD DIFFERENTLY. ★★★★★ Knowledge flow- A mobile learning platform provides Apps and Books. Knowledge flow provides learning book of Data Structures and Algorithms. This book is for all information technology and computer science students and professionals across the world. Data structure is the programmatic way of storing data and this book of data structure provides an easy way to understanding data structure. Contents: 1. Introduction to Data Structures and Algorithms 2. Data structure for string and pattern matching Algorithm 3. Arrays and Pointers 4. Linked Lists 5. Stacks and Queues 6. Trees 7. Graphs in Data Structure 8. Sort and Search 9. AVL Search Trees 10. Warshall’s Algorithm
Book Synopsis Data Structures And Algorithms by : Harry. H. Chaudhary.
Download or read book Data Structures And Algorithms written by Harry. H. Chaudhary. and published by Programmers Mind LLC New York.. This book was released on 2014-10-01 with total page 124 pages. Available in PDF, EPUB and Kindle. Book excerpt: Features of Book - Essential Data Structures Skills -- Made Easy! All Code/Algo written in C Programming. || Learn with Fun strategy. Anyone can comfortably follow this book to Learn DSA Step By Step. Unique strategy- Concepts, Problems, Analysis, Questions, Solutions. Why This Book - This book gives a good start and complete introduction for data structures and algorithms for Beginner’s. While reading this book it is fun and easy to read it. This book is best suitable for first time DSA readers, Covers all fast track topics of DSA for all Computer Science students and Professionals. Learn all Concept’s Clearly with World Famous Programmer Harry Chaudhary. Main Objective - Data structures is concerned with the storage, representation and manipulation of data in a computer. In this book, we discuss some of the more versatile and popular data structures used to solve a variety of useful problems. Among the topics are linked lists, stacks, queues, trees, graphs, sorting and hashing. What Special - Data Structures & Algorithms Using C or C++ takes a gentle approach to the data structures course in C Providing an early, text gives students a firm grasp of key concepts and allows those experienced in another language to adjust easily. Flexible by design,. Finally, a solid foundation in building and using abstract data types is alsoprovided. Using C, this book develops the concepts & 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. This is a handy guide of sorts for any computer science Students, This book is a solution bank for various problems related to data structures and algorithms. It can be used as a reference manual by Computer Science Engineering students. This Book also covers all aspects of CS, IT. Special Note: Digital Pdf Edition || Epub Edition is Available on Google Play & Books. less
Book Synopsis Codeless Data Structures and Algorithms by : Armstrong Subero
Download or read book Codeless Data Structures and Algorithms written by Armstrong Subero and published by Apress. This book was released on 2020-02-13 with total page 143 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the era of self-taught developers and programmers, essential topics in the industry are frequently learned without a formal academic foundation. A solid grasp of data structures and algorithms (DSA) is imperative for anyone looking to do professional software development and engineering, but classes in the subject can be dry or spend too much time on theory and unnecessary readings. Regardless of your programming language background, Codeless Data Structures and Algorithms has you covered. In this book, author Armstrong Subero will help you learn DSAs without writing a single line of code. Straightforward explanations and diagrams give you a confident handle on the topic while ensuring you never have to open your code editor, use a compiler, or look at an integrated development environment. Subero introduces you to linear, tree, and hash data structures and gives you important insights behind the most common algorithms that you can directly apply to your own programs. Codeless Data Structures and Algorithms provides you with the knowledge about DSAs that you will need in the professional programming world, without using any complex mathematics or irrelevant information. Whether you are a new developer seeking a basic understanding of the subject or a decision-maker wanting a grasp of algorithms to apply to your projects, this book belongs on your shelf. Quite often, a new, refreshing, and unpretentious approach to a topic is all you need to get inspired. What You'll LearnUnderstand tree data structures without delving into unnecessary details or going into too much theoryGet started learning linear data structures with a basic discussion on computer memory Study an overview of arrays, linked lists, stacks and queues Who This Book Is ForThis book is for beginners, self-taught developers and programmers, and anyone who wants to understand data structures and algorithms but don’t want to wade through unnecessary details about quirks of a programming language or don’t have time to sit and read a massive book on the subject. This book is also useful for non-technical decision-makers who are curious about how algorithms work.
Book Synopsis Data Structures by : Source Wikipedia
Download or read book Data Structures written by Source Wikipedia and published by University-Press.org. This book was released on 2013-09 with total page 106 pages. Available in PDF, EPUB and Kindle. Book excerpt: Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. Pages: 51. Chapters: Array data structure, Binary tree, Collection (abstract data type), Compressed data structure, Concurrent data structure, Container (abstract data type), Control table, Disjoint-set data structure, Dynamization, Hash table, Implicit data structure, Linked data structure, List of data structures, Partition refinement, Persistent data structure, Piece table, Recordset, Retroactive data structures, Search data structure, Search tree, Sequential access, Serialization, Sorted array, Spaghetti stack, Succinct data structure, Symbol table, Synonym (database), Wavelet Tree, Zipper (data structure). Excerpt: Control tables are tables that control the control flow or play a major part in program control. There are no rigid rules about the structure or content of a control table-its qualifying attribute is its ability to direct control flow in some way through "execution" by a processor or interpreter. The design of such tables is sometimes referred to as table-driven design (although this typically refers to generating code automatically from external tables rather than direct run-time tables). In some cases, control tables can be specific implementations of finite-state-machine-based automata-based programming. If there are several hierarchical levels of control table they may behave in a manner equivalent to UML state machines Control tables often have the equivalent of conditional expressions or function references embedded in them, usually implied by their relative column position in the association list. Control tables reduce the need for programming similar structures or program statements over and over again. The two-dimensional nature of most tables makes them easier to view and update than the one-dimensional nature of program code. In some cases, non-programmers can be assigned to maintain the control tables....
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 669 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.
Book Synopsis Handbook of Data Structures and Applications by : Dinesh P. Mehta
Download or read book Handbook of Data Structures and Applications written by Dinesh P. Mehta and published by Taylor & Francis. This book was released on 2018-02-21 with total page 1928 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
