An Introduction To Data Structures And Algorithms
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An Introduction To Data Structures And Algorithms
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Author : J.A. Storer
language : en
Publisher: Springer Science & Business Media
Release Date : 2001-11-09
An Introduction To Data Structures And Algorithms written by J.A. Storer and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-11-09 with Computers categories.
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
An Introduction To Data Structures And Algorithms
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Author : Storer
language : en
Publisher:
Release Date : 2008-11-01
An Introduction To Data Structures And Algorithms written by Storer and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-11-01 with categories.
An Introduction To Data Structures With Applications
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Author : Jean-Paul Tremblay
language : en
Publisher: McGraw-Hill Companies
Release Date : 1984
An Introduction To Data Structures With Applications written by Jean-Paul Tremblay and has been published by McGraw-Hill Companies this book supported file pdf, txt, epub, kindle and other format this book has been release on 1984 with Computers categories.
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).
Javascript Data Structures And Algorithms
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Author : Sammie Bae
language : en
Publisher: Apress
Release Date : 2019-01-23
Javascript Data Structures And Algorithms written by Sammie Bae and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-01-23 with Computers categories.
Explore data structures and algorithm 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. What You'll Learn Review core data structure fundamentals: arrays, linked-lists, trees, heaps, graphs, and hash-table Review core algorithm fundamentals: search, sort, recursion, breadth/depth first search, dynamic programming, bitwise operators Examine how the core data structure and algorithms knowledge fits into context of JavaScript explained using prototypical inheritance and native JavaScript objects/data types Take a high-level look at commonly used design patterns in JavaScript Who This Book Is For Existing web developers and software engineers seeking to develop or revisit their fundamental data structures knowledge; beginners and students studying JavaScript independently or via a course or coding bootcamp.
A Practical Introduction To Data Structures And Algorithm Analysis
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Author : Clifford A. Shaffer
language : en
Publisher:
Release Date : 1997
A Practical Introduction To Data Structures And Algorithm Analysis written by Clifford A. Shaffer and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997 with Computers categories.
Offers a treatment of fundamental data structures and the principles of algorithm analysis for first- and second-year students in computer science and related fields. The author focuses on the principles required to select or design the best data structure to solve a problem.
Data Structures Algorithms
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Author : Prabhu TL
language : en
Publisher: NestFame Creations Pvt Ltd.
Release Date :
Data Structures Algorithms written by Prabhu TL and has been published by NestFame Creations Pvt Ltd. this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
Embark on an exhilarating journey into the realm of data structures and algorithms—a dynamic domain where logical thinking and problem-solving prowess converge to drive computational efficiency. "Data Structures & Algorithms: Navigating the Landscape of Efficient Computing" is an all-encompassing guide that delves into the fundamental principles and practices that empower programmers, engineers, and tech enthusiasts to optimize code and solve complex challenges. Unveiling the Backbone of Computing: Immerse yourself in the art of data structures and algorithms as this book explores the core concepts and strategies that underpin efficient computing. From arrays and linked lists to sorting algorithms and graph traversal, this comprehensive guide equips you with the tools to develop robust, optimized, and scalable software solutions. Key Themes Explored: Data Structure Fundamentals: Discover the building blocks of efficient data organization, storage, and retrieval. Algorithm Design: Embrace the art of designing algorithms to solve a wide range of computational problems. Search and Sort Algorithms: Learn about algorithms that facilitate efficient searching and sorting of data. Graphs and Trees: Explore the intricacies of graph and tree structures for modeling relationships and hierarchies. Complexity Analysis: Master the art of analyzing algorithmic complexity to make informed design choices. Target Audience: "Data Structures & Algorithms" caters to programmers, software developers, computer science students, and anyone eager to understand and apply the principles of efficient computing. Whether you're a coding enthusiast, a student, or a professional seeking to optimize code performance, this book empowers you to navigate the landscape of efficient computing. Unique Selling Points: Real-Life Coding Challenges: Engage with practical coding problems that exemplify the application of data structures and algorithms. Problem-Solving Techniques: Emphasize the importance of logical thinking and systematic problem-solving in programming. Code Optimization Strategies: Learn techniques to optimize code performance and enhance computational efficiency. Scalable Software Design: Explore how data structures and algorithms contribute to developing scalable and adaptable software. Master the Art of Efficient Computing: "Data Structures & Algorithms" transcends ordinary programming literature—it's a transformative guide that celebrates the elegance and power of efficient coding. Whether you seek to solve complex problems, develop high-performance software, or ace coding interviews, this book is your compass to navigating the landscape of efficient computing. Secure your copy of "Data Structures & Algorithms" and embark on a journey of mastering the principles that underpin optimized software solutions.
Data Structures And Algorithms In Python
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Author : Michael T. Goodrich
language : en
Publisher: Wiley Global Education
Release Date : 2013-06-17
Data Structures And Algorithms In Python written by Michael T. Goodrich and has been published by Wiley Global Education this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-06-17 with Computers categories.
Based on the authors' market leading data structures books in Java and C++, this book offers a comprehensive, definitive introduction to data structures in Python by authoritative authors. Data Structures and Algorithms in Python is the first authoritative object-oriented book available for Python data structures. Designed to provide a comprehensive introduction to data structures and algorithms, including their design, analysis, and implementation, the text will maintain the same general structure as Data Structures and Algorithms in Java and Data Structures and Algorithms in C++. Begins by discussing Python's conceptually simple syntax, which allows for a greater focus on concepts. Employs a consistent object-oriented viewpoint throughout the text. Presents each data structure using ADTs and their respective implementations and introduces important design patterns as a means to organize those implementations into classes, methods, and objects. Provides a thorough discussion on the analysis and design of fundamental data structures. Includes many helpful Python code examples, with source code provided on the website. Uses illustrations to present data structures and algorithms, as well as their analysis, in a clear, visual manner. Provides hundreds of exercises that promote creativity, help readers learn how to think like programmers, and reinforce important concepts. Contains many Python-code and pseudo-code fragments, and hundreds of exercises, which are divided into roughly 40% reinforcement exercises, 40% creativity exercises, and 20% programming projects.
Data Structures And Algorithms In C
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Author : Michael T. Goodrich
language : en
Publisher: John Wiley & Sons
Release Date : 2011-02-22
Data Structures And Algorithms In C written by Michael T. Goodrich and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-02-22 with Computers categories.
This second edition of Data Structures and Algorithms in C++ is designed to provide an introduction to data structures and algorithms, including their design, analysis, and implementation. The authors offer an introduction to object-oriented design with C++ and design patterns, including the use of class inheritance and generic programming through class and function templates, and retain a consistent object-oriented viewpoint throughout the book. This is a “sister” book to Goodrich & Tamassia’s Data Structures and Algorithms in Java, but uses C++ as the basis language instead of Java. This C++ version retains the same pedagogical approach and general structure as the Java version so schools that teach data structures in both C++ and Java can share the same core syllabus. In terms of curricula based on the IEEE/ACM 2001 Computing Curriculum, this book is appropriate for use in the courses CS102 (I/O/B versions), CS103 (I/O/B versions), CS111 (A version), and CS112 (A/I/O/F/H versions).
Introduction To Data Structures And Algorithms With C
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Author : Glenn W. Rowe
language : en
Publisher:
Release Date : 1997
Introduction To Data Structures And Algorithms With C written by Glenn W. Rowe and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997 with Computers categories.
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
An Introduction To Data Structures And Algorithms With Java
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Author : Glenn W. Rowe
language : en
Publisher: Prentice Hall
Release Date : 1998
An Introduction To Data Structures And Algorithms With Java written by Glenn W. Rowe and has been published by Prentice Hall this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with Computers categories.
L.T.C. Rolt was one of a small group of amateur railwaymen who made their dream of running their own railway come true. His vivid and often amusing account of this unique achievement is a record of individual enterprise and creative effort as refreshing as it is rare. Established by Act of Parliament in 1865 and unaffected by mergers and ......