Construction Of Fundamental Data Structures For Strings
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| Author | : Felipe A. Louza |
| Publisher | : Springer Nature |
| Total Pages | : 104 |
| Release | : 2020-10-07 |
| Genre | : Computers |
| ISBN | : 3030551083 |
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.
| Author | : Timothy Budd |
| Publisher | : Addison Wesley |
| Total Pages | : 630 |
| Release | : 2001 |
| Genre | : Computers |
| ISBN | : |
With this book, Tim Budd looks at data structures by providing a solid foundation on the ADT, and uses the graphical elements found in Java when possible. The beginning chapters provide the foundation on which everything else will be built. These chapters define the essential concept of the abstract data type (ADT), and describe the tools used in the evaluation and analysis of data structures. The book moves on to provide a detailed description of the two most important fundamental data abstractions, the vector and the linked list, providing an explanation of some of the more common variations on these fundamental ideas. Next, the material considers data structures applicable to problems in which the order that values are added to a collection is important, followed by a consideration of the various different ways in which binary trees are used in the creation of data structures. The last few chapters consider a sequence of more advanced data structures. Most are constructed as adaptors built on top of earlier abstractions. Hash tables are introduced first as a technique for implementing simple collections, and later as a tool for developing efficient maps. Lastly, the graph data type is considered. Here there are several alternative data structures presentations in common use, and the emphasis in this chapter is more on the development and analysis of useful algorithms than on any particular data structure.
| Author | : J.A. Storer |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 609 |
| Release | : 2012-12-06 |
| Genre | : Computers |
| ISBN | : 146120075X |
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
| Author | : Yashavant Kanetkar |
| Publisher | : BPB Publications |
| Total Pages | : 426 |
| Release | : 2019-09-19 |
| Genre | : Computers |
| ISBN | : 9388511395 |
Experience Data Structures CÊ through animations DESCRIPTION There are two major hurdles faced by anybody trying to learn Data Structures: Most books attempt to teach it using algorithms rather than complete working programs A lot is left to the imagination of the reader, instead of explaining it in detail. Ê This is a different Data Structures book. It uses a common language like C to teach Data Structures. Secondly, it goes far beyond merely explaining how Stacks, Queues, and Linked Lists work. The readers can actually experience (rather than imagine) sorting of an array, traversing of a doubly linked list, construction of a binary tree, etc. through carefully crafted animations that depict these processes. All these animations are available on the downloadable DVD. In addition it contains numerous carefully-crafted figures, working programs and real world scenarios where different data structures are used. This would help you understand the complicated operations being performed an different data structures easily. Add to that the customary lucid style of Yashavant Kanetkar and you have a perfect Data Structures book in your hands. KEY FEATURES Strengthens the foundations, as detailed explanation of concepts are givenÊ Focuses on how to think logically to solve a problem Algorithms used in the book are well explained and illustrated step by step. Help students in understanding how data structures are implemented in programs WHAT WILL YOU LEARN Analysis of Algorithms, Arrays, Linked Lists, Sparse Matrices Stacks, Queues, Trees, Graphs, Searching and Sorting WHO THIS BOOK IS FOR Students, Programmers, researchers, and software developers who wish to learn the basics of Data structures. Table of Contents 1. Analysis of Algorithms 2. Arrays 3. Linked Lists 4. Sparse Matrices 5. Stacks 6. Queues
| Author | : Pat Morin |
| Publisher | : Athabasca University Press |
| Total Pages | : 336 |
| Release | : 2013 |
| Genre | : Computers |
| ISBN | : 1927356385 |
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.
| Author | : Rossano Venturini |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 131 |
| Release | : 2013-10-31 |
| Genre | : Computers |
| ISBN | : 9462390339 |
Data compression is mandatory to manage massive datasets, indexing is fundamental to query them. However, their goals appear as counterposed: the former aims at minimizing data redundancies, whereas the latter augments the dataset with auxiliary information to speed up the query resolution. In this monograph we introduce solutions that overcome this dichotomy. We start by presenting the use of optimization techniques to improve the compression of classical data compression algorithms, then we move to the design of compressed data structures providing fast random access or efficient pattern matching queries on the compressed dataset. These theoretical studies are supported by experimental evidences of their impact in practical scenarios.
| Author | : Thierry Lecroq |
| Publisher | : Springer Nature |
| Total Pages | : 257 |
| Release | : 2021-09-27 |
| Genre | : Computers |
| ISBN | : 3030866920 |
This book constitutes the refereed proceedings of the 27th International Symposium on String Processing and Information Retrieval, SPIRE 2021, held in Lille, France, in October 2021.* The 14 full papers and 4 short papers presented together with 2 invited papers in this volume were carefully reviewed and selected from 30 submissions. They cover topics such as: data structures; algorithms; information retrieval; compression; combinatorics on words; and computational biology. *The symposium was held virtually.
| Author | : Hadley Wickham |
| Publisher | : CRC Press |
| Total Pages | : 669 |
| Release | : 2015-09-15 |
| Genre | : Mathematics |
| ISBN | : 1498759807 |
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.
| Author | : Elliot B. Koffman |
| Publisher | : John Wiley & Sons |
| Total Pages | : 833 |
| Release | : 2010-01-26 |
| Genre | : Computers |
| ISBN | : 0470128704 |
This book lays the foundation for programmers to build their skills. The focus is placed on how to implement effective programs using the JCL instead of producing mathematical proofs. The coverage is updated and streamlined to provide a more accessible approach to programming. They’ll be able to develop a thorough understanding of basic data structures and algorithms through an objects-first approach. Data structures are discussed in the context of software engineering principles. Updated case studies also show programmers how to apply essential design skills and concepts.
| Author | : Clifford A. Shaffer |
| Publisher | : |
| Total Pages | : 536 |
| Release | : 2001 |
| Genre | : Computers |
| ISBN | : |
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.
