An Illustrative Introduction To Algorithms

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An Illustrative Introduction to Algorithms

Author : Dino Cajic
Publisher : Unknown
Page : 364 pages
File Size : 41,9 Mb
Release : 2019-08-16
Category : Electronic
ISBN : 1686863268

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An Illustrative Introduction to Algorithms by Dino Cajic Pdf

This book was written to fill the gap that exists when Computer Science students, and programmers, attempt to learn and analyze the different algorithms that currently exist. I took a course on Algorithms and was disappointed in the type of material that's currently available. There are two types of books that I kept running into:1). First, the overly complex book. This book seems like it's designed for people that are already fluent in the topics and wanted a more detailed and mathematical approach to algorithms. 2). Second, the overly simple book. A basic introduction to algorithms. This is a high-level overview of some algorithms, and most complex algorithms are not mentioned. After completion, the person is still incapable of showing how the algorithm runs when a problem is presented. This book is designed for undergraduate upper-class students and programmers that want to expand their horizon. It can be used as a supplementary book alongside the complex book. Readers will gain the knowledge necessary to solve those mathematically intensive algorithmic problems that were presented in the complex book.Each chapter consists of a brief description of how the algorithm works followed by a detailed example or two. No steps are skipped during the traversal process. The reader is presented with a clear, simplified approach to solving the algorithm that the chapter is dedicated to. Each chapter follows a natural progression from the previous chapter. If certain algorithms rely heavily on prior knowledge, the previous chapter covers that topic. For example, Kruskal's algorithm relies heavily on prior knowledge of Minimum Spanning Trees and Greedy Algorithms. Each of those topics receives a chapter of its own.

Introduction To Algorithms

Author : Thomas H Cormen,Charles E Leiserson,Ronald L Rivest,Clifford Stein
Publisher : MIT Press
Page : 1216 pages
File Size : 40,9 Mb
Release : 2001
Category : Computers
ISBN : 0262032937

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Introduction To Algorithms by Thomas H Cormen,Charles E Leiserson,Ronald L Rivest,Clifford Stein Pdf

An extensively revised edition of a mathematically rigorous yet accessible introduction to algorithms.

Introduction to Algorithms, third edition

Author : Thomas H. Cormen,Charles E. Leiserson,Ronald L. Rivest,Clifford Stein
Publisher : MIT Press
Page : 1314 pages
File Size : 40,6 Mb
Release : 2009-07-31
Category : Computers
ISBN : 9780262033848

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Introduction to Algorithms, third edition by Thomas H. Cormen,Charles E. Leiserson,Ronald L. Rivest,Clifford Stein Pdf

The latest edition of the essential text and professional reference, with substantial new material on such topics as vEB trees, multithreaded algorithms, dynamic programming, and edge-based flow. Some books on algorithms are rigorous but incomplete; others cover masses of material but lack rigor. Introduction to Algorithms uniquely combines rigor and comprehensiveness. The book covers a broad range of algorithms in depth, yet makes their design and analysis accessible to all levels of readers. Each chapter is relatively self-contained and can be used as a unit of study. The algorithms are described in English and in a pseudocode designed to be readable by anyone who has done a little programming. The explanations have been kept elementary without sacrificing depth of coverage or mathematical rigor. The first edition became a widely used text in universities worldwide as well as the standard reference for professionals. The second edition featured new chapters on the role of algorithms, probabilistic analysis and randomized algorithms, and linear programming. The third edition has been revised and updated throughout. It includes two completely new chapters, on van Emde Boas trees and multithreaded algorithms, substantial additions to the chapter on recurrence (now called “Divide-and-Conquer”), and an appendix on matrices. It features improved treatment of dynamic programming and greedy algorithms and a new notion of edge-based flow in the material on flow networks. Many exercises and problems have been added for this edition. The international paperback edition is no longer available; the hardcover is available worldwide.

AN ILLUSTRATIVE INTRODUCTION TO ALGORITHMS

Author : Robert Vandusen
Publisher : Unknown
Page : 0 pages
File Size : 43,8 Mb
Release : 2023-02-28
Category : Electronic
ISBN : 180630824X

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AN ILLUSTRATIVE INTRODUCTION TO ALGORITHMS by Robert Vandusen Pdf

This book was written to fill the gap when Computer Science students and programmers attempt to learn and analyze the current algorithms.

Grokking Algorithms

Author : Aditya Bhargava
Publisher : Simon and Schuster
Page : 354 pages
File Size : 48,8 Mb
Release : 2016-05-12
Category : Computers
ISBN : 9781638353348

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Grokking Algorithms by Aditya Bhargava Pdf

"This book does the impossible: it makes math fun and easy!" - Sander Rossel, COAS Software Systems Grokking Algorithms is a fully illustrated, friendly guide that teaches you how to apply common algorithms to the practical problems you face every day as a programmer. You'll start with sorting and searching and, as you build up your skills in thinking algorithmically, you'll tackle more complex concerns such as data compression and artificial intelligence. Each carefully presented example includes helpful diagrams and fully annotated code samples in Python. Learning about algorithms doesn't have to be boring! Get a sneak peek at the fun, illustrated, and friendly examples you'll find in Grokking Algorithms on Manning Publications' YouTube channel. Continue your journey into the world of algorithms with Algorithms in Motion, a practical, hands-on video course available exclusively at Manning.com (www.manning.com/livevideo/algorithms-?in-motion). Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology An algorithm is nothing more than a step-by-step procedure for solving a problem. The algorithms you'll use most often as a programmer have already been discovered, tested, and proven. If you want to understand them but refuse to slog through dense multipage proofs, this is the book for you. This fully illustrated and engaging guide makes it easy to learn how to use the most important algorithms effectively in your own programs. About the Book Grokking Algorithms is a friendly take on this core computer science topic. In it, you'll learn how to apply common algorithms to the practical programming problems you face every day. You'll start with tasks like sorting and searching. As you build up your skills, you'll tackle more complex problems like data compression and artificial intelligence. Each carefully presented example includes helpful diagrams and fully annotated code samples in Python. By the end of this book, you will have mastered widely applicable algorithms as well as how and when to use them. What's Inside Covers search, sort, and graph algorithms Over 400 pictures with detailed walkthroughs Performance trade-offs between algorithms Python-based code samples About the Reader This easy-to-read, picture-heavy introduction is suitable for self-taught programmers, engineers, or anyone who wants to brush up on algorithms. About the Author Aditya Bhargava is a Software Engineer with a dual background in Computer Science and Fine Arts. He blogs on programming at adit.io. Table of Contents Introduction to algorithms Selection sort Recursion Quicksort Hash tables Breadth-first search Dijkstra's algorithm Greedy algorithms Dynamic programming K-nearest neighbors

Algorithms of Oppression

Author : Safiya Umoja Noble
Publisher : NYU Press
Page : 245 pages
File Size : 50,6 Mb
Release : 2018-02-20
Category : Computers
ISBN : 9781479837243

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Algorithms of Oppression by Safiya Umoja Noble Pdf

Acknowledgments -- Introduction: the power of algorithms -- A society, searching -- Searching for Black girls -- Searching for people and communities -- Searching for protections from search engines -- The future of knowledge in the public -- The future of information culture -- Conclusion: algorithms of oppression -- Epilogue -- Notes -- Bibliography -- Index -- About the author

Understanding Machine Learning

Author : Shai Shalev-Shwartz,Shai Ben-David
Publisher : Cambridge University Press
Page : 415 pages
File Size : 43,6 Mb
Release : 2014-05-19
Category : Computers
ISBN : 9781107057135

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Understanding Machine Learning by Shai Shalev-Shwartz,Shai Ben-David Pdf

Introduces machine learning and its algorithmic paradigms, explaining the principles behind automated learning approaches and the considerations underlying their usage.

Information Theory, Inference and Learning Algorithms

Author : David J. C. MacKay
Publisher : Cambridge University Press
Page : 694 pages
File Size : 52,8 Mb
Release : 2003-09-25
Category : Computers
ISBN : 0521642981

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Information Theory, Inference and Learning Algorithms by David J. C. MacKay Pdf

Table of contents

Introduction to Algorithms, Data Structures and Formal Languages

Author : Michael John Dinneen,Georgiĭ Lʹvovich Gimelʹfarb,Mark Curtis Wilson
Publisher : Unknown
Page : 254 pages
File Size : 40,6 Mb
Release : 2009-02
Category : Computer algorithms
ISBN : 1442512067

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Introduction to Algorithms, Data Structures and Formal Languages by Michael John Dinneen,Georgiĭ Lʹvovich Gimelʹfarb,Mark Curtis Wilson Pdf

INTRODUCTION TO ALGORITHMS, DATA STRUCTURES AND FORMAL LANGUAGES provides a concise, straightforward, yet rigorous introduction to the key ideas, techniques, and results in three areas essential to the education of every computer scientist. The textbook is closely based on the syllabus of the course COMPSCI220, which the authors and their colleagues have taught at the University of Auckland for several years. The book could also be used for self-study. Many exercises are provided, a substantial proportion of them with detailed solutions. Numerous figures aid understanding. To benefit from the book, the reader should have had prior exposure to programming in a structured language such as Java or C++, at a level similar to a typical two semester first-year university computer science sequence. However, no knowledge of any particular such language is necessary. Mathematical prerequisites are modest. Several appendices can be used to fill minor gaps in background knowledge. After finishing this book, students should be well prepared for more advanced study of the three topics, either for their own sake or as they arise in a multitude of application areas.

An Introduction to the Analysis of Algorithms

Author : Robert Sedgewick,Philippe Flajolet
Publisher : Addison-Wesley
Page : 734 pages
File Size : 54,8 Mb
Release : 2013-01-18
Category : Computers
ISBN : 9780133373486

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An Introduction to the Analysis of Algorithms by Robert Sedgewick,Philippe Flajolet Pdf

Despite growing interest, basic information on methods and models for mathematically analyzing algorithms has rarely been directly accessible to practitioners, researchers, or students. An Introduction to the Analysis of Algorithms, Second Edition, organizes and presents that knowledge, fully introducing primary techniques and results in the field. Robert Sedgewick and the late Philippe Flajolet have drawn from both classical mathematics and computer science, integrating discrete mathematics, elementary real analysis, combinatorics, algorithms, and data structures. They emphasize the mathematics needed to support scientific studies that can serve as the basis for predicting algorithm performance and for comparing different algorithms on the basis of performance. Techniques covered in the first half of the book include recurrences, generating functions, asymptotics, and analytic combinatorics. Structures studied in the second half of the book include permutations, trees, strings, tries, and mappings. Numerous examples are included throughout to illustrate applications to the analysis of algorithms that are playing a critical role in the evolution of our modern computational infrastructure. Improvements and additions in this new edition include Upgraded figures and code An all-new chapter introducing analytic combinatorics Simplified derivations via analytic combinatorics throughout The book’s thorough, self-contained coverage will help readers appreciate the field’s challenges, prepare them for advanced results—covered in their monograph Analytic Combinatorics and in Donald Knuth’s The Art of Computer Programming books—and provide the background they need to keep abreast of new research. "[Sedgewick and Flajolet] are not only worldwide leaders of the field, they also are masters of exposition. I am sure that every serious computer scientist will find this book rewarding in many ways." —From the Foreword by Donald E. Knuth

Introduction to Algorithms, third edition

Author : Thomas H. Cormen,Charles E. Leiserson,Ronald L. Rivest,Clifford Stein
Publisher : MIT Press
Page : 1313 pages
File Size : 55,5 Mb
Release : 2009-07-31
Category : Computers
ISBN : 9780262258104

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Introduction to Algorithms, third edition by Thomas H. Cormen,Charles E. Leiserson,Ronald L. Rivest,Clifford Stein Pdf

The latest edition of the essential text and professional reference, with substantial new material on such topics as vEB trees, multithreaded algorithms, dynamic programming, and edge-based flow. Some books on algorithms are rigorous but incomplete; others cover masses of material but lack rigor. Introduction to Algorithms uniquely combines rigor and comprehensiveness. The book covers a broad range of algorithms in depth, yet makes their design and analysis accessible to all levels of readers. Each chapter is relatively self-contained and can be used as a unit of study. The algorithms are described in English and in a pseudocode designed to be readable by anyone who has done a little programming. The explanations have been kept elementary without sacrificing depth of coverage or mathematical rigor. The first edition became a widely used text in universities worldwide as well as the standard reference for professionals. The second edition featured new chapters on the role of algorithms, probabilistic analysis and randomized algorithms, and linear programming. The third edition has been revised and updated throughout. It includes two completely new chapters, on van Emde Boas trees and multithreaded algorithms, substantial additions to the chapter on recurrence (now called “Divide-and-Conquer”), and an appendix on matrices. It features improved treatment of dynamic programming and greedy algorithms and a new notion of edge-based flow in the material on flow networks. Many exercises and problems have been added for this edition. The international paperback edition is no longer available; the hardcover is available worldwide.

Algorithms on Strings, Trees and Sequences

Author : Dan Gusfield
Publisher : Cambridge University Press
Page : 128 pages
File Size : 50,8 Mb
Release : 1997-05-28
Category : Computers
ISBN : 9781139811002

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Algorithms on Strings, Trees and Sequences by Dan Gusfield Pdf

String algorithms are a traditional area of study in computer science. In recent years their importance has grown dramatically with the huge increase of electronically stored text and of molecular sequence data (DNA or protein sequences) produced by various genome projects. This 1997 book is a general text on computer algorithms for string processing. In addition to pure computer science, the book contains extensive discussions on biological problems that are cast as string problems, and on methods developed to solve them. It emphasises the fundamental ideas and techniques central to today's applications. New approaches to this complex material simplify methods that up to now have been for the specialist alone. With over 400 exercises to reinforce the material and develop additional topics, the book is suitable as a text for graduate or advanced undergraduate students in computer science, computational biology, or bio-informatics. Its discussion of current algorithms and techniques also makes it a reference for professionals.

A Practical Introduction to Data Structures and Algorithm Analysis

Author : Clifford A. Shaffer
Publisher : Unknown
Page : 536 pages
File Size : 43,9 Mb
Release : 2001
Category : Computers
ISBN : UCSC:32106012552565

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A Practical Introduction to Data Structures and Algorithm Analysis by Clifford A. Shaffer Pdf

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.

An Introduction to Kolmogorov Complexity and Its Applications

Author : Ming Li,Paul Vitanyi
Publisher : Springer Science & Business Media
Page : 655 pages
File Size : 48,8 Mb
Release : 2013-03-09
Category : Mathematics
ISBN : 9781475726060

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An Introduction to Kolmogorov Complexity and Its Applications by Ming Li,Paul Vitanyi Pdf

Briefly, we review the basic elements of computability theory and prob ability theory that are required. Finally, in order to place the subject in the appropriate historical and conceptual context we trace the main roots of Kolmogorov complexity. This way the stage is set for Chapters 2 and 3, where we introduce the notion of optimal effective descriptions of objects. The length of such a description (or the number of bits of information in it) is its Kolmogorov complexity. We treat all aspects of the elementary mathematical theory of Kolmogorov complexity. This body of knowledge may be called algo rithmic complexity theory. The theory of Martin-Lof tests for random ness of finite objects and infinite sequences is inextricably intertwined with the theory of Kolmogorov complexity and is completely treated. We also investigate the statistical properties of finite strings with high Kolmogorov complexity. Both of these topics are eminently useful in the applications part of the book. We also investigate the recursion theoretic properties of Kolmogorov complexity (relations with Godel's incompleteness result), and the Kolmogorov complexity version of infor mation theory, which we may call "algorithmic information theory" or "absolute information theory. " The treatment of algorithmic probability theory in Chapter 4 presup poses Sections 1. 6, 1. 11. 2, and Chapter 3 (at least Sections 3. 1 through 3. 4).

Analysis and Design of Algorithms

Author : Anuradha A. Puntambekar
Publisher : Technical Publications
Page : 688 pages
File Size : 40,7 Mb
Release : 2020-12-01
Category : Computers
ISBN : 9789333223867

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Analysis and Design of Algorithms by Anuradha A. Puntambekar Pdf

This well-organized textbook provides the design techniques of algorithms in a simple and straight forward manner. The book begins with a description of the fundamental concepts such as algorithm, functions and relations, vectors and matrices. Then it focuses on efficiency analysis of algorithms. In this unit, the technique of computing time complexity of the algorithm is discussed along with illustrative examples. Gradually, the text discusses various algorithmic strategies such as divide and conquer, dynamic programming, Greedy algorithm, backtracking and branch and bound. Finally the string matching algorithms and introduction to NP completeness is discussed. Each algorithmic strategy is explained in stepwise manner, followed by examples and pseudo code. Thus this book helps the reader to learn the analysis and design of algorithms in the most lucid way.