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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 Udi Manber
ISBN-10 0201120372
Release 1989-01-01
Pages 478
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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



Algorithms Unlocked

Algorithms Unlocked Author Thomas H. Cormen
ISBN-10 9780262313230
Release 2013-03-01
Pages 240
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Have you ever wondered how your GPS can find the fastest way to your destination, selecting one route from seemingly countless possibilities in mere seconds? How your credit card account number is protected when you make a purchase over the Internet? The answer is algorithms. And how do these mathematical formulations translate themselves into your GPS, your laptop, or your smart phone? This book offers an engagingly written guide to the basics of computer algorithms. In Algorithms Unlocked, Thomas Cormen -- coauthor of the leading college textbook on the subject -- provides a general explanation, with limited mathematics, of how algorithms enable computers to solve problems. Readers will learn what computer algorithms are, how to describe them, and how to evaluate them. They will discover simple ways to search for information in a computer; methods for rearranging information in a computer into a prescribed order ("sorting"); how to solve basic problems that can be modeled in a computer with a mathematical structure called a "graph" (useful for modeling road networks, dependencies among tasks, and financial relationships); how to solve problems that ask questions about strings of characters such as DNA structures; the basic principles behind cryptography; fundamentals of data compression; and even that there are some problems that no one has figured out how to solve on a computer in a reasonable amount of time.



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.



Instructor s Manual to Accompany Introduction to Algorithms

Instructor s Manual to Accompany Introduction to Algorithms Author Julie Sussman
ISBN-10 UCSD:31822029573490
Release 1991
Pages 260
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Instructor s Manual to Accompany Introduction to Algorithms has been writing in one form or another for most of life. You can find so many inspiration from Instructor s Manual to Accompany Introduction to Algorithms also informative, and entertaining. Click DOWNLOAD or Read Online button to get full Instructor s Manual to Accompany Introduction to Algorithms book for free.



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



The Algorithm Design Manual

The Algorithm Design Manual Author Steven S Skiena
ISBN-10 9781848000704
Release 2009-04-05
Pages 730
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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



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 Parallel Algorithms

Introduction to Parallel Algorithms Author C. Xavier
ISBN-10 0471251828
Release 1998-08-05
Pages 365
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Parallel algorithms Made Easy The complexity of today's applications coupled with the widespread use of parallel computing has made the design and analysis of parallel algorithms topics of growing interest. This volume fills a need in the field for an introductory treatment of parallel algorithms-appropriate even at the undergraduate level, where no other textbooks on the subject exist. It features a systematic approach to the latest design techniques, providing analysis and implementation details for each parallel algorithm described in the book. Introduction to Parallel Algorithms covers foundations of parallel computing; parallel algorithms for trees and graphs; parallel algorithms for sorting, searching, and merging; and numerical algorithms. This remarkable book: * Presents basic concepts in clear and simple terms * Incorporates numerous examples to enhance students' understanding * Shows how to develop parallel algorithms for all classical problems in computer science, mathematics, and engineering * Employs extensive illustrations of new design techniques * Discusses parallel algorithms in the context of PRAM model * Includes end-of-chapter exercises and detailed references on parallel computing. This book enables universities to offer parallel algorithm courses at the senior undergraduate level in computer science and engineering. It is also an invaluable text/reference for graduate students, scientists, and engineers in computer science, mathematics, and engineering.



Algorithms

Algorithms Author
ISBN-10 9780077388492
Release
Pages
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Algorithms has been writing in one form or another for most of life. You can find so many inspiration from Algorithms also informative, and entertaining. Click DOWNLOAD or Read Online button to get full Algorithms book for free.



A Concise and Practical Introduction to Programming Algorithms in Java

A Concise and Practical Introduction to Programming Algorithms in Java Author Frank Nielsen
ISBN-10 1848823398
Release 2009-04-05
Pages 252
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A Concise and Practical Introduction to Programming Algorithms in Java has two main goals. The first is for novice programmers to learn progressively the basic concepts underlying most imperative programming languages using Java. The second goal is to introduce new programmers to the very basic principles of thinking the algorithmic way and turning the algorithms into programs using the programming concepts of Java. The book is divided into two parts and includes: The fundamental notions of variables, expressions and assignments with type checking - Conditional and loop statements - Explanation of the concepts of functions with pass-by-value arguments and recursion - Fundamental sequential and bisection search techniques - Basic iterative and recursive sorting algorithms. Each chapter of the book concludes with a set of exercises to enable students to practice concepts covered.



Introduction to computing and algorithms

Introduction to computing and algorithms Author Russell L. Shackelford
ISBN-10 0201636131
Release 1999-06-01
Pages 434
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Introduction to computing and algorithms has been writing in one form or another for most of life. You can find so many inspiration from Introduction to computing and algorithms also informative, and entertaining. Click DOWNLOAD or Read Online button to get full Introduction to computing and algorithms book for free.



Introduction to Algorithms Third Edition

Introduction to Algorithms  Third Edition Author Thomas H. Cormen
ISBN-10 OCLC:999439149
Release 2009
Pages
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Introduction to Algorithms Third Edition has been writing in one form or another for most of life. You can find so many inspiration from Introduction to Algorithms Third Edition also informative, and entertaining. Click DOWNLOAD or Read Online button to get full Introduction to Algorithms Third Edition book for free.



Introduction to the Design and Analysis of Algorithms

Introduction to the Design and Analysis of Algorithms Author Anany Levitin
ISBN-10 027376411X
Release 2011-12-01
Pages 589
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Based on a new classification of algorithm design techniques and a clear delineation of analysis methods, 'Introduction to the Design and Analysis of Algorithms' presents the subject in a coherent and innovative manner.



Understanding Machine Learning

Understanding Machine Learning Author Shai Shalev-Shwartz
ISBN-10 9781107057135
Release 2014-05-19
Pages 409
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Introduces machine learning and its algorithmic paradigms, explaining the principles behind automated learning approaches and the considerations underlying their usage.