Data Structures And Algorithms 1

Author : Robert Sedgewick,Kevin Wayne
Publisher : Addison-Wesley Professional
Page : 827 pages
File Size : 49,7 Mb
Release : 2014-02-01
Category : Computers
ISBN : 9780133799101

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Algorithms by Robert Sedgewick,Kevin Wayne Pdf

This book is Part I of the fourth edition of Robert Sedgewick and Kevin Wayne’s Algorithms, the leading textbook on algorithms today, widely used in colleges and universities worldwide. Part I contains Chapters 1 through 3 of the book. The fourth edition of Algorithms surveys the most important computer algorithms currently in use and provides a full treatment of data structures and algorithms for sorting, searching, graph processing, and string processing -- including fifty algorithms every programmer should know. In this edition, new Java implementations are written in an accessible modular programming style, where all of the code is exposed to the reader and ready to use. The algorithms in this book represent a body of knowledge developed over the last 50 years that has become indispensable, not just for professional programmers and computer science students but for any student with interests in science, mathematics, and engineering, not to mention students who use computation in the liberal arts. The companion web site, algs4.cs.princeton.edu contains An online synopsis Full Java implementations Test data Exercises and answers Dynamic visualizations Lecture slides Programming assignments with checklists Links to related material The MOOC related to this book is accessible via the "Online Course" link at algs4.cs.princeton.edu. The course offers more than 100 video lecture segments that are integrated with the text, extensive online assessments, and the large-scale discussion forums that have proven so valuable. Offered each fall and spring, this course regularly attracts tens of thousands of registrants. Robert Sedgewick and Kevin Wayne are developing a modern approach to disseminating knowledge that fully embraces technology, enabling people all around the world to discover new ways of learning and teaching. By integrating their textbook, online content, and MOOC, all at the state of the art, they have built a unique resource that greatly expands the breadth and depth of the educational experience.

Author : Kurt Mehlhorn
Publisher : Springer
Page : 286 pages
File Size : 45,9 Mb
Release : 1984
Category : Computers
ISBN : UOM:39015009818728

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Data Structures and Algorithms by Kurt Mehlhorn Pdf

Author : K. Mehlhorn
Publisher : Springer Science & Business Media
Page : 294 pages
File Size : 47,9 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9783642699009

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Data Structures and Algorithms 3 by K. Mehlhorn Pdf

Author : J.A. Storer
Publisher : Springer Science & Business Media
Page : 609 pages
File Size : 47,5 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9781461200758

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An Introduction to Data Structures and Algorithms by J.A. Storer Pdf

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 : Iain T. Adamson
Publisher : Springer Science & Business Media
Page : 412 pages
File Size : 42,9 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9781447110231

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

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.

Author : K. Mehlhorn
Publisher : Springer Science & Business Media
Page : 351 pages
File Size : 53,8 Mb
Release : 2013-11-09
Category : Computers
ISBN : 9783642696725

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Data Structures and Algorithms 1 by K. Mehlhorn Pdf

The design and analysis of data structures and efficient algorithms has gained considerable importance in recent years. The concept of "algorithm" is central in computer science, and "efficiency" is central in the world of money. I have organized the material in three volumes and nine chapters. Vol. 1: Sorting and Searching (chapters I to III) Vol. 2: Graph Algorithms and NP-completeness (chapters IV to VI) Vol. 3: Multi-dimensional Searching and Computational G- metry (chapters VII and VIII) Volumes 2 and 3 have volume 1 as a common basis but are indepen dent from each other. Most of volumes 2 and 3 can be understood without knowing volume 1 in detail. A general kowledge of algorith mic principles as laid out in chapter 1 or in many other books on algorithms and data structures suffices for most parts of volumes 2 and 3. The specific prerequisites for volumes 2 and 3 are listed in the prefaces to these volumes. In all three volumes we present and analyse many important efficient algorithms for the fundamental computa tional problems in the area. Efficiency is measured by the running time on a realistic model of a computing machine which we present in chapter I. Most of the algorithms presented are very recent inven tions; after all computer science is a very young field. There are hardly any theorems in this book which are older than 20 years and at least fifty percent of the material is younger than 10 years.

Author : Robert Sedgewick
Publisher : Addison-Wesley Professional
Page : 1415 pages
File Size : 55,6 Mb
Release : 1997-08-22
Category : Computers
ISBN : 9780768685015

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Algorithms in C, Parts 1-4 by Robert Sedgewick Pdf

Robert Sedgewick has thoroughly rewritten and substantially expanded his popular work to provide current and comprehensive coverage of important algorithms and data structures. Many new algorithms are presented, and the explanations of each algorithm are much more detailed than in previous editions. A new text design and detailed, innovative figures, with accompanying commentary, greatly enhance the presentation. The third edition retains the successful blend of theory and practice that has made Sedgewick's work an invaluable resource for more than 250,000 programmers! This particular book, Parts 1-4, represents the essential first half of Sedgewick's complete work. It provides extensive coverage of fundamental data structures and algorithms for sorting, searching, and related applications. The algorithms and data structures are expressed in concise implementations in C, so that you can both appreciate their fundamental properties and test them on real applications. Of course, the substance of the book applies to programming in any language. Highlights Expanded coverage of arrays, linked lists, strings, trees, and other basic data structures Greater emphasis on abstract data types (ADTs) than in previous editions Over 100 algorithms for sorting, selection, priority queue ADT implementations, and symbol table ADT (searching) implementations New implementations of binomial queues, multiway radix sorting, Batcher's sorting networks, randomized BSTs, splay trees, skip lists, multiway tries, and much more Increased quantitative information about the algorithms, including extensive empirical studies and basic analytic studies, giving you a basis for comparing them Over 1000 new exercises to help you learn the properties of algorithms Whether you are a student learning the algorithms for the first time or a professional interested in having up-to-date reference material, you will find a wealth of useful information in this book.

Author : Pat Morin
Publisher : Athabasca University Press
Page : 336 pages
File Size : 50,7 Mb
Release : 2013
Category : Computers
ISBN : 9781927356388

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Open Data Structures by Pat Morin Pdf

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 : Michael T. Goodrich,Roberto Tamassia,Michael H. Goldwasser
Publisher : John Wiley & Sons
Page : 736 pages
File Size : 54,5 Mb
Release : 2014-01-28
Category : Computers
ISBN : 9781118771334

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Data Structures and Algorithms in Java by Michael T. Goodrich,Roberto Tamassia,Michael H. Goldwasser Pdf

The design and analysis of efficient data structures has long been recognized as a key component of the Computer Science curriculum. Goodrich, Tomassia and Goldwasser's approach to this classic topic is based on the object-oriented paradigm as the framework of choice for the design of data structures. For each ADT presented in the text, the authors provide an associated Java interface. Concrete data structures realizing the ADTs are provided as Java classes implementing the interfaces. The Java code implementing fundamental data structures in this book is organized in a single Java package, net.datastructures. This package forms a coherent library of data structures and algorithms in Java specifically designed for educational purposes in a way that is complimentary with the Java Collections Framework.

Author : Rudolph Russell
Publisher : Createspace Independent Publishing Platform
Page : 96 pages
File Size : 41,8 Mb
Release : 2018-05-08
Category : Electronic
ISBN : 1718904509

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Data Structures and Algorithms by Rudolph Russell Pdf

DATA STRUCTURES AND ALGORITHMS Buy the Paperback version of this book, and get the Kindle eBook version included for FREE! Do You Want to Become An Expert Of Data Structures and Algorithms?? Start Getting this Book and Follow My Step by Step Explanations! Click Add To Cart Now! This book is meant for anyone who wants to learn how to write efficient programs and use the proper data structures and algorithm. In this book, you'll learn the basics of the C++ programming language and object-oriented design concepts. After that, you'll learn about the most important data structures, including linked lists, arrays, queues, and stacks. You will learn also learn about searching and sorting algorithms. This book contains some illustrations and step-by-step explanations with bullet points and exercises for easy and enjoyable learning Benefits of reading this book that you're not going to find anywhere else: Introduction to C++ C++ Data Types Control Flow Functions Overloading and Inlining Classes Access Control Constructors and Destructors Classes and Memory Allocation Class Friends and Class Members Introduction to Object Oriented Design Abstraction Encapsulation Modularity Inheritance and Polymorphism Member Functions Polymorphism Interfaces and Abstract Classes Templates Exceptions Developing efficient computer programs Arrays Linked Lists Analysis of Algorithms The "Big-Oh" Notation Stacks Queues Binary Trees Hash Table Sorting algorithms Don't miss out on this new step by step guide to Data Structures And Algorithms. All you need to do is scroll up and click on the BUY NOW button to learn all about it!

Author : William McAllister
Publisher : Jones & Bartlett Learning
Page : 598 pages
File Size : 41,6 Mb
Release : 2009
Category : Computers
ISBN : 9780763757564

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Data Structures and Algorithms Using Java by William McAllister Pdf

Data Structures & Theory of Computation

Author : Michael T. Goodrich,Roberto Tamassia,Michael H. Goldwasser
Publisher : Wiley Global Education
Page : 770 pages
File Size : 48,6 Mb
Release : 2013-06-17
Category : Computers
ISBN : 9781118476734

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Data Structures and Algorithms in Python by Michael T. Goodrich,Roberto Tamassia,Michael H. Goldwasser Pdf

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.

Author : Robert Sedgewick,Kevin Wayne
Publisher : Addison-Wesley Professional
Page : 971 pages
File Size : 41,6 Mb
Release : 2014-02-01
Category : Computers
ISBN : 9780133847260

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Algorithms, Part II by Robert Sedgewick,Kevin Wayne Pdf

This book is Part II of the fourth edition of Robert Sedgewick and Kevin Wayne’s Algorithms, the leading textbook on algorithms today, widely used in colleges and universities worldwide. Part II contains Chapters 4 through 6 of the book. The fourth edition of Algorithms surveys the most important computer algorithms currently in use and provides a full treatment of data structures and algorithms for sorting, searching, graph processing, and string processing -- including fifty algorithms every programmer should know. In this edition, new Java implementations are written in an accessible modular programming style, where all of the code is exposed to the reader and ready to use. The algorithms in this book represent a body of knowledge developed over the last 50 years that has become indispensable, not just for professional programmers and computer science students but for any student with interests in science, mathematics, and engineering, not to mention students who use computation in the liberal arts. The companion web site, algs4.cs.princeton.edu contains An online synopsis Full Java implementations Test data Exercises and answers Dynamic visualizations Lecture slides Programming assignments with checklists Links to related material The MOOC related to this book is accessible via the "Online Course" link at algs4.cs.princeton.edu. The course offers more than 100 video lecture segments that are integrated with the text, extensive online assessments, and the large-scale discussion forums that have proven so valuable. Offered each fall and spring, this course regularly attracts tens of thousands of registrants. Robert Sedgewick and Kevin Wayne are developing a modern approach to disseminating knowledge that fully embraces technology, enabling people all around the world to discover new ways of learning and teaching. By integrating their textbook, online content, and MOOC, all at the state of the art, they have built a unique resource that greatly expands the breadth and depth of the educational experience.

Author : David Beazley,Brian K. Jones
Publisher : "O'Reilly Media, Inc."
Page : 706 pages
File Size : 54,9 Mb
Release : 2013-05-10
Category : Computers
ISBN : 9781449357351

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Python Cookbook by David Beazley,Brian K. Jones Pdf

If you need help writing programs in Python 3, or want to update older Python 2 code, this book is just the ticket. Packed with practical recipes written and tested with Python 3.3, this unique cookbook is for experienced Python programmers who want to focus on modern tools and idioms. Inside, you’ll find complete recipes for more than a dozen topics, covering the core Python language as well as tasks common to a wide variety of application domains. Each recipe contains code samples you can use in your projects right away, along with a discussion about how and why the solution works. Topics include: Data Structures and Algorithms Strings and Text Numbers, Dates, and Times Iterators and Generators Files and I/O Data Encoding and Processing Functions Classes and Objects Metaprogramming Modules and Packages Network and Web Programming Concurrency Utility Scripting and System Administration Testing, Debugging, and Exceptions C Extensions

Author : Steven S Skiena
Publisher : Springer Science & Business Media
Page : 742 pages
File Size : 52,6 Mb
Release : 2009-04-05
Category : Computers
ISBN : 9781848000704

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The Algorithm Design Manual by Steven S Skiena Pdf

This newly expanded and updated second edition of the best-selling classic continues to take the "mystery" out of designing algorithms, and analyzing their efficacy and efficiency. Expanding on the first edition, the book now serves as the primary textbook of choice for algorithm design courses while maintaining its status as the premier practical reference guide to algorithms for programmers, researchers, and students. The reader-friendly Algorithm Design Manual provides straightforward access to combinatorial algorithms technology, stressing design over analysis. The first part, Techniques, provides accessible instruction on methods for designing and analyzing computer algorithms. The second part, Resources, is intended for browsing and reference, and comprises the catalog of algorithmic resources, implementations and an extensive bibliography. NEW to the second edition: • Doubles the tutorial material and exercises over the first edition • Provides full online support for lecturers, and a completely updated and improved website component with lecture slides, audio and video • Contains a unique catalog identifying the 75 algorithmic problems that arise most often in practice, leading the reader down the right path to solve them • Includes several NEW "war stories" relating experiences from real-world applications • Provides up-to-date links leading to the very best algorithm implementations available in C, C++, and Java