Introduction To The Design Analysis Of Algorithms

Introduction to the Design   Analysis of Algorithms PDF
Author: Anany Levitin
Publisher: Addison-Wesley Longman
ISBN: 9780132316811
Size: 35.48 MB
Format: PDF, Kindle
Category : Computers
Languages : en
Pages : 565
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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. Written in a student-friendly style, the book emphasizes the understanding of ideas over excessively formal treatment while thoroughly covering the material required in an introductory algorithms course. Popular puzzles are used to motivate students' interest and strengthen their skills in algorithmic problem solving. Other learning-enhancement features include chapter summaries, hints to the exercises, and a detailed solution manual.

An Introduction To The Analysis Of Algorithms

An Introduction to the Analysis of Algorithms PDF
Author: Robert Sedgewick
Publisher: Addison-Wesley
ISBN: 0133373487
Size: 39.43 MB
Format: PDF, Mobi
Category : Computers
Languages : en
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 The Design And Analysis Of Algorithms

Introduction to the Design and Analysis of Algorithms PDF
Author: R. C. T. Lee
Publisher: McGraw-Hill
ISBN: 9780071243469
Size: 60.18 MB
Format: PDF, ePub, Docs
Category : Computer algorithms
Languages : en
Pages : 723
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Communication network design, VLSI layout and DNA sequence analysis are important and challenging problems that cannot be solved by naïve and straightforward algorithms. Thus, it is critical for a computer scientist to have a good knowledge of algorithm design and analysis. This book presents algorithm design from the viewpoint of strategies. Each strategy is introduced with many algorithms designed under the strategy. Each algorithm is presented with many examples and each example with many figures. In recent years, many approximation algorithms have been developed. Introduction to the Design and Analysis of Algorithms presents two important concepts clearly: PTAS and NPO-complete. This book also discusses the concept of NP-completeness before introducing approximation algorithms. Again, this is explained through examples which make sure that the students have a definite idea about this very abstract concept. In addition, this book also has a chapter on on-line algorithms. Each on-line algorithm is introduced by first describing the basic principle behind it. Amortized analysis is a new field in algorithm research. In this book, detailed descriptions are given to introduce this new and difficult-to-understand concept. This book can be used as a textbook by senior undergraduate students or master level graduate students in computer science.

Introduction To The Design And Analysis Of Algorithms

Introduction to the Design and Analysis of Algorithms PDF
Author: Anany Levitin
Publisher: Pearson Higher Ed
ISBN: 1292014113
Size: 75.23 MB
Format: PDF, Docs
Category : Computers
Languages : en
Pages : 592
View: 7406

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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. Written in a student-friendly style, the book emphasizes the understanding of ideas over excessively formal treatment while thoroughly covering the material required in an introductory algorithms course. Popular puzzles are used to motivate students' interest and strengthen their skills in algorithmic problem solving. Other learning-enhancement features include chapter summaries, hints to the exercises, and a detailed solution manual.

Introduction To The Analysis Of Algorithms An 3rd Edition

Introduction To The Analysis Of Algorithms  An  3rd Edition  PDF
Author: Soltys-kulinicz Michael
Publisher: World Scientific
ISBN: 9813235926
Size: 34.94 MB
Format: PDF, ePub
Category : Computers
Languages : en
Pages : 328
View: 1958

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A successor to the first and second editions, this updated and revised book is a leading companion guide for students and engineers alike, specifically software engineers who design algorithms. While succinct, this edition is mathematically rigorous, covering the foundations for both computer scientists and mathematicians with interest in the algorithmic foundations of Computer Science. Besides expositions on traditional algorithms such as Greedy, Dynamic Programming and Divide & Conquer, the book explores two classes of algorithms that are often overlooked in introductory textbooks: Randomised and Online algorithms — with emphasis placed on the algorithm itself. The book also covers algorithms in Linear Algebra, and the foundations of Computation. The coverage of Randomized and Online algorithms is timely: the former have become ubiquitous due to the emergence of cryptography, while the latter 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, as well as all the necessary mathematical foundations. The programming exercises in Python will be available on the web (see http: //www.msoltys.com/book for the companion web site). Contents: Preliminaries Greedy Algorithms Divide and Conquer Dynamic Programming Online Algorithms Randomized Algorithms Algorithms in Linear Algebra Computational Foundations Mathematical Foundations Readership: Students of undergraduate courses in algorithms and programming and associated professionals. Keywords: Algorithms;Greedy;Dynamic Programming;Online;Randomized;Loop InvariantReview:0