Download or read book Initiation l algorithmique et aux structures de donn es written by Jacques Courtin and published by . This book was released on 1999 with total page 481 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cet ouvrage s'adresse aux étudiants des spécialités informatiques du 1er et du 2è cycles (DEUG MIAS et MASS, IUT d'informatique, licence) et plus généralement aux lecteurs souhaitant obtenir des bases solides nécessaires à une bonne activité de programmation quel que soit le langage support envisagé. Après avoir traité dans un premier volume l'étude et la construction d'algorithmes fondamentaux sur les vecteurs et les fichiers séquentiels, ce deuxième volume est consacré principalement à la programmation récursive et à la construction d'algorithmes sur des structures de données plus avancées que sont les listes chaînées, les piles, les files d'attente, les tables et les arbres. Il constitue ainsi une bonne préparation à l'utilisation des langages de programmation modernes et aux méthodes actuelles d'analyse des systèmes d'information. Dans chaque chapitre nous trouvons : - le cours avec des énoncés d'exercices, - les solutions de tous les exercices ainsi que des études de cas, entièrement corrigés, qui permettent au lecteur de se familiariser avec la démarche proposée et de vérifier que la méthode a bien été assimilée.
Download or read book A Practical Introduction to Data Structures and Algorithm Analysis written by Clifford A. Shaffer and published by . This book was released on 2001 with total page 536 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
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
Download or read book Introduction to Data Structures and Algorithm Analysis written by Thomas L. Naps and published by . This book was released on 1992 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book A Concise Introduction to Data Structures using Java written by Mark J. Johnson and published by CRC Press. This book was released on 2013-11-18 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt: A student-friendly text, A Concise Introduction to Data Structures Using Java takes a developmental approach, starting with simpler concepts first and then building toward greater complexity. Important topics, such as linked lists, are introduced gradually and revisited with increasing depth. More code and guidance are provided at the beginning, allowing students time to adapt to Java while also beginning to learn data structures. As students develop fluency in Java, less code is provided and more algorithms are outlined in pseudocode. The text is designed to support a second course in computer science with an emphasis on elementary data structures. The clear, concise explanations encourage students to read and engage with the material, while partial implementations of most data structures give instructors the flexibility to develop some methods as examples and assign others as exercises. The book also supplies an introductory chapter on Java basics that allows students who are unfamiliar with Java to quickly get up to speed. The book helps students become familiar with how to use, design, implement, and analyze data structures, an important step on the path to becoming skilled software developers.
Download or read book Introduction to Data Structure and Algorithm Analysis written by Naps and published by . This book was released on 1992-01-01 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
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 385 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.
Download or read book Introduction to Data Structures and Algorithm Analysis with C written by George J. Pothering and published by . This book was released on 1995-01-01 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book C written by Larry R. Nyhoff and published by . This book was released on 1999 with total page 872 pages. Available in PDF, EPUB and Kindle. Book excerpt: Emphasizing abstract data types (ADJs) throughout, this work covers the containers and algorithms from the Standard Template Library, introducing the most up-to-date and powerful tools in C++.
Download or read book A Practical Introduction to Data Structures and Algorithm Analysis C Edition written by Clifford A. Shaffer and published by . This book was released on 2002 with total page 529 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Practical Introduction to Data Structures and Algorithm Analysis written by Prentice Hall PTR and published by . This book was released on 1997-01-01 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Advanced Data Structures written by Daniel R. Page and published by PageWizard Games, Learning & Entertainment. This book was released on 2020-11-08 with total page 161 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn Data Structures and Algorithms! This book is a collection of lectures notes on Data Structures and Algorithms. The content found in this book supplements the free video lecture series, of the same name, "Advanced Data Structures", by the author, Dr. Daniel Page. This video lecture series is available at http://www.pagewizardgames.com/datastructures. This book: -Contains Computer Science topics and materials comparable to those found among university courses at a similar level (second-year) at top Canadian universities. -Provides an accessible written companion and supplemental notes for those that wish to learn the subject of Data Structures and Algorithms from the video lecture series, but have difficulties taking notes, or would prefer having a written alternative to follow along. This book is ideal for those with already an introductory programming background, know a little bit about computing, and wish to learn more about Data Structures and Algorithms and begin a more formal study of Computer Science. The materials here are a great place to start for supplemental/additional learning materials on the subject for self-study, university students, or those that want to learn more about Computer Science. Dr. Daniel Page places great emphasis on the introductory mathematical aspects of Computer Science, a natural transition from a basic programming background to thinking a bit more like a computer scientist about Computer Science. This book is not a textbook. The author assumes the reader is familiar with algebra, functions, common finite and infinite series such as arithmetic series and geometric series, and basic control structures in programming or logic. All the algorithms in this book are described in English, or using Java-like pseudocode. Chapters -Chapter 1 - Introduction: Data Structures, Problems, Input Size, Algorithms, The Search Problem. -Chapter 2 - Intro to Analysis of Algorithms I: Complexity Analysis, Comparing Algorithms, Growth Rate of Functions (Asymptotics), Showing f is O(g), Showing f is not O(g). -Chapter 3 - Intro to Analysis of Algorithms II: Some Properties of O, An Iterative Example, Back to our "Easy" Search Problem. -Chapter 4 - Dictionaries: The Dictionary Problem, Simple Implementations of a Dictionary. -Chapter 5 - Hashing: Hash Function, Hash Code, Separate Chaining, Open Addressing, Revisiting the Load Factor. -Chapter 6 - Trees: Tree ADT, Linked Tree Representation, Tree Property, Computing Height of a Tree, Tree Traversals -Chapter 7 - Priority Queues & Heaps: Priority Queues, Heaps, Array-Based Implementation, Building a Heap, Application: Sorting, Introduction to Amortized Analysis -Chapter 8 - Binary Search Trees: Ordered Dictionary ADT, BST Implementations, Inorder Traversal, Smallest, Get, Put, Remove, Successor. -Chapter 9 - AVL Trees: Height, AVL Trees, Re-Balancing AVL Trees, putAVL, removeAVL, AVL Tree Performance. -Chapter 10 - Graphs: Degrees and the Handshaking Lemma, Complete Graphs, Paths and Cycles, Trees, Forests, Subgraphs, and Connectivity, Graph Representations. -Chapter 11 - Graph Traversals: Depth-First Search (DFS), Path-Finding, Cycle Detection, Counting Vertices, DFS Tree, Breadth-First Search (BFS), Summary. -Chapter 12 - Minimum Spanning Trees: Weighted Graphs, Minimum Spanning Trees & Algorithms, Prim's Algorithm, Heap-Based Implementation of Prim's Algorithm and More! -Chapter 13 - Shortest Paths: Single-Source Shortest Path Problem, Dijkstra's Algorithm. -Chapter 14 - Multiway Search Trees: Beyond Binary Search Trees, Get, Put, Successor and Remove, (2,4)-Trees, B-Trees.
Download or read book Introduction to Data Structures and Algorithms with C written by Glenn W. Rowe and published by . This book was released on 1997 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: A complete introduction to the topic of data structures and algorithms, approached from an object-oriented perspective, using C++. All data structures are described, including stacks, queues, sets, linked lists, trees and graphs. Searching and sorting algo
Download or read book An Introduction to Computer Science written by Jean-Paul Tremblay and published by New York ; Montreal : McGraw-hill. This book was released on 1989 with total page 840 pages. Available in PDF, EPUB and Kindle. Book excerpt: General literature -- Introductory and Survey.
Download or read book JavaScript Data Structures and Algorithms written by Sammie Bae and published by . This book was released on 2019 with total page 357 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Explore data structures and algorithms concepts and their relation to everyday JavaScript development. A basic understanding of these ideas is essential to any JavaScript developer wishing to analyze and build great software solutions. You'll discover how to implement data structures such as hash tables, linked lists, stacks, queues, trees, and graphs. You'll also learn how a URL shortener, such as bit.ly, is developed and what is happening to the data as a PDF is uploaded to a webpage. This book covers the practical applications of data structures and algorithms to encryption, searching, sorting, and pattern matching. It is crucial for JavaScript developers to understand how data structures work and how to design algorithms. This book and the accompanying code provide that essential foundation for doing so. With "JavaScript data structures and algorithms" you can start developing your knowledge and applying it to your JavaScript projects today."--Provided by publisher.
Download or read book An Introduction to Data Structures with Applications written by Jean-Paul Tremblay and published by McGraw-Hill Companies. This book was released on 1984 with total page 888 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text is designed for a course in data structures, to introduce students to concepts and terminology in a way that permits a view of computer science as a unified discipline, with an emphasis on problem-solving. This second edition has improvements which include an increased formalization of algorithmic language, more structured algorithms, use of Pascal, new exercises, and more analysis of algorithms. This edition assumes basic familiarity with assembly languages, Pascal, and combinatorial mathematics (including recurrence relations).
Download or read book Introduction to Algorithms written by Udi Manber and published by Pearson. This book was released on 1989 with total page 504 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book emphasizes the creative aspects of algorithm design by examining steps used in the process of algorithm development. The heart of the creative process lies in an analogy between proving mathematical theorems by induction and designing combinatorial algorithms. The book contains hundreds of problems and examples. It is designed to enhance the reader's problem-solving abilities and understanding of the principles behind algorithm design. 0201120372B04062001
