Introduction to Algorithms

Introduction to Algorithms Author Thomas H. Cormen
ISBN-10 9780262033848
Release 2009-07-31
Pages 1292
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A new 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.



Introduction to Algorithms

Introduction to Algorithms Author
ISBN-10 8120340078
Release 2010-01-01
Pages 1292
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This internationally acclaimed textbook provides a comprehensive introduction to the modern study of computer algorithms. It covers a broad range of algorithms in depth, yet makes their design and analysis accessible to all levels of reade Each chapter is relatively self-contained and presents an algorithm, a design technique, an application area, or a related topic. The algorithms are described and designed in a manner 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 third edition has been revised and updated throughout. It includes two completely new chapters, on van Emde Boas trees and multithreaded algorithms, and substantial additions to the chapter on recurrences (now called ?Divide-and-Conquer?). 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 new exercises and problems have been added in this edition. The text is intended primarily for students studying algorithms or data structures. As it discusses engineering issues in algorithm design, as well as mathematical aspects, it is equally well suited for self-study by technical professionals.



Introduction to Algorithms and Java CD ROM

Introduction to Algorithms and Java CD ROM Author Thomas Cormen
ISBN-10 0072970545
Release 2003-12-16
Pages 1056
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The updated new edition of the classic Introduction to Algorithms is intended primarily for use in undergraduate or graduate courses in algorithms or data structures. Like the first edition, this text can also be used for self-study by technical professionals since it discusses engineering issues in algorithm design as well as the mathematical aspects. In its new edition, Introduction to Algorithms continues to provide a comprehensive introduction to the modern study of algorithms. The revision has been updated to reflect changes in the years since the book's original publication. New chapters on the role of algorithms in computing and on probabilistic analysis and randomized algorithms have been included. Sections throughout the book have been rewritten for increased clarity, and material has been added wherever a fuller explanation has seemed useful or new information warrants expanded coverage. As in the classic first edition, this new edition of Introduction to Algorithms presents a rich variety of algorithms and covers them in considerable depth while making their design and analysis accessible to all levels of readers. Further, the algorithms are presented in pseudocode to make the book easily accessible to students from all programming language backgrounds. Each chapter presents an algorithm, a design technique, an application area, or a related topic. The chapters are not dependent on one another, so the instructor can organize his or her use of the book in the way that best suits the course's needs. Additionally, the new edition offers a 25% increase over the first edition in the number of problems, giving the book 155 problems and over 900 exercises that reinforce the concepts the students are learning.



Introduction to Algorithms Instructor s Manual

Introduction to Algorithms Instructor s Manual Author By Thomas H Cormen Charles E Leiserson
ISBN-10 1505513871
Release 2014-12-13
Pages 428
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This document is an instructor's manual to accompany Introduction to Algorithms, Second Edition, by Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, and Clifford Stein. It is intended for use in a course on algorithms. You might also find some of the material herein to be useful for a CS 2-style course in data structures. Unlike the instructor's manual for the first edition of the text-which was organized around the undergraduate algorithms course taught by Charles Leiserson at MIT in Spring 1991-we have chosen to organize the manual for the second edition according to chapters of the text. That is, for most chapters we have provided a set of lecture notes and a set of exercise and problem solutions pertaining to the chapter. This organization allows you to decide how to best use the material in the manual in your own course.



Introduction to algorithms and numerical methods

Introduction to algorithms and numerical methods Author James O. Wilkes
ISBN-10 UOM:39015000967888
Release 1971
Pages
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Introduction to algorithms and numerical methods has been writing in one form or another for most of life. You can find so many inspiration from Introduction to algorithms and numerical methods also informative, and entertaining. Click DOWNLOAD or Read Online button to get full Introduction to algorithms and numerical methods book for free.



Introduction to Algorithms

Introduction to Algorithms Author CTI Reviews
ISBN-10 9781478414643
Release 2016-10-16
Pages 438
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Facts101 is your complete guide to Introduction to Algorithms. In this book, you will learn topics such as as those in your book plus much more. With key features such as key terms, people and places, Facts101 gives you all the information you need to prepare for your next exam. Our practice tests are specific to the textbook and we have designed tools to make the most of your limited study time.



Introduction to Algorithms

Introduction to Algorithms Author Udi Manber
ISBN-10 OCLC:654548475
Release 1989
Pages 478
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Introduction to Algorithms has been writing in one form or another for most of life. You can find so many inspiration from Introduction to Algorithms also informative, and entertaining. Click DOWNLOAD or Read Online button to get full Introduction to Algorithms book for free.



Introduction to Algorithms in Pascal

Introduction to Algorithms in Pascal Author Thomas W. Parsons
ISBN-10 0471116009
Release 1995
Pages 447
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Covering algorithms and data structure analysis using the PASCAL language, this text may be used to follow up an introductory course on PASCAL programming. It describes recent algorithms of note. Chapters on pattern matching, text compression and random numbers serve as case studies in which some of the algorithms seen earlier find application.



An Introduction to the Analysis of Algorithms

An Introduction to the Analysis of Algorithms Author Robert Sedgewick
ISBN-10 9780133373486
Release 2013-01-18
Pages 604
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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 Distributed Algorithms

Introduction to Distributed Algorithms Author Gerard Tel
ISBN-10 0521794838
Release 2000-09-28
Pages 596
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Distributed algorithms have been the subject of intense development over the last twenty years. The second edition of this successful textbook provides an up-to-date introduction both to the topic, and to the theory behind the algorithms. The clear presentation makes the book suitable for advanced undergraduate or graduate courses, whilst the coverage is sufficiently deep to make it useful for practising engineers and researchers. The author concentrates on algorithms for the point-to-point message passing model, and includes algorithms for the implementation of computer communication networks. Other key areas discussed are algorithms for the control of distributed applications (wave, broadcast, election, termination detection, randomized algorithms for anonymous networks, snapshots, deadlock detection, synchronous systems), and fault-tolerance achievable by distributed algorithms. The two new chapters on sense of direction and failure detectors are state-of-the-art and will provide an entry to research in these still-developing topics.



Introduction to Algorithms

Introduction to Algorithms Author Mukkai Krishnamoorthy
ISBN-10 163487157X
Release 2014-12-31
Pages
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Introduction to Algorithms has been writing in one form or another for most of life. You can find so many inspiration from Introduction to Algorithms also informative, and entertaining. Click DOWNLOAD or Read Online button to get full Introduction to Algorithms book for free.



An Introduction to Bioinformatics Algorithms

An Introduction to Bioinformatics Algorithms Author Neil C. Jones
ISBN-10 0262101068
Release 2004
Pages 435
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An introductory text that emphasizes the underlying algorithmic ideas that are driving advances in bioinformatics.



Introduction to Algorithms Data Structures and Formal Languages

Introduction to Algorithms  Data Structures and Formal Languages Author M. J. Dinneen
ISBN-10 1877258792
Release 2004
Pages 253
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Introduction to Algorithms Data Structures and Formal Languages has been writing in one form or another for most of life. You can find so many inspiration from Introduction to Algorithms Data Structures and Formal Languages also informative, and entertaining. Click DOWNLOAD or Read Online button to get full Introduction to Algorithms Data Structures and Formal Languages book for free.



An Introduction to the Analysis of Algorithms

An Introduction to the Analysis of Algorithms Author Michael Soltys
ISBN-10 9789814401159
Release 2012
Pages 197
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A successor to the first edition, this updated and revised book is a great companion guide for students and engineers alike, specifically software engineers who design reliable code. While succinct, this edition is mathematically rigorous, covering the foundations of both computer scientists and mathematicians with interest in algorithms. Besides covering the traditional algorithms of Computer Science such as Greedy, Dynamic Programming and Divide & Conquer, this edition goes further by exploring two classes of algorithms that are often overlooked: Randomised and Online algorithms with emphasis placed on the algorithm itself. The coverage of both fields are timely as the ubiquity of Randomised algorithms are expressed through the emergence of cryptography while Online algorithms are essential in numerous fields as diverse as operating systems and stock market predictions. While being relatively short to ensure the essentiality of content, a strong focus has been placed on self-containment, introducing the idea of pre/post-conditions and loop invariants to readers of all backgrounds. Containing programming exercises in Python, solutions will also be placed on the book's website.



An Introduction to Algorithms

An Introduction to Algorithms Author A. J. (Albert John) Coleman
ISBN-10 OCLC:5299142
Release 1967
Pages 57
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For high school mathematics courses and/or introductory computer science courses at the college level.



Foundations of Algorithms

Foundations of Algorithms Author Richard Neapolitan
ISBN-10 9781449600167
Release 2010-04-01
Pages 627
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Foundations of Algorithms, Fourth Edition offers a well-balanced presentation of algorithm design, complexity analysis of algorithms, and computational complexity. The volume is accessible to mainstream computer science students who have a background in college algebra and discrete structures. To support their approach, the authors present mathematical concepts using standard English and a simpler notation than is found in most texts. A review of essential mathematical concepts is presented in three appendices. The authors also reinforce the explanations with numerous concrete examples to help students grasp theoretical concepts.



An Introduction to Data Structures and Algorithms

An Introduction to Data Structures and Algorithms Author J.A. Storer
ISBN-10 9781461200758
Release 2012-12-06
Pages 599
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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