computer algorithms introduction to design and analysis 3rd edition

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Computer Algorithms Introduction To Design And Analysis

Author : Sara Baase
ISBN : 8131702448
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File Size : 64. 33 MB
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Computer Algorithms

Author : Sara Baase
ISBN : 0201060353
Genre : Algorithms
File Size : 40. 67 MB
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the design and analysis of algorithms, including an exhaustive array of algorithms and their complexity analyses. Baase emphasizes the development of algorithms through a step-by-step process, rather than merely presenting the end result. Three chapters on modern topics are new to this edition: adversary arguments and selection, dynamic programming, and parallel algorithms.

Design And Analysis Of Algorithms

Author : I. CHANDRA MOHAN
ISBN : 9788120345751
Genre : Computers
File Size : 81. 46 MB
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This book, on Design and Analysis of Algorithms, in its second edition, presents a detailed coverage of the time complexity of algorithms. In this edition, a number of chapters have been modified and updated with new material. It discusses the various design factors that make one algorithm more efficient than others, and explains how to devise the new algorithms or modify the existing ones. The book begins with an introduction to algorithm analysis and then presents different methods and techniques—divide and conquer methods, the greedy method, search and traversal techniques, backtracking methods, branch and bound methods—used in the design of algorithms. Each algorithm that is written in this book is followed first by a detailed explanation and then is supported by worked-out examples. The book contains a number of figures to illustrate the theoretical aspects and also provides chapter-end questions to enable students to gauge their understanding of the underlying concepts. What distinguishes the text is its compactness, which has been achieved without sacrificing essential subject matter. This text is suitable for a course on “Design and Analysis of Algorithms”, which is offered to the students of B.Tech (Computer Science and Engineering) and undergraduate and postgraduate students of computer science and computer applications [BCA, MCA, B.Sc. (CS), M.Sc. (CS)] and other computer-related courses. New to this Edition : Explains in detail the time complexity of the algorithms for the problem of finding the GCD and matrix addition. Covers the analysis of Knapsack and Combinatorial Search and Optimization problems. Illustrates the “Branch-and-Bound” method with reference to the Knapsack problem. Presents the theory of NP-Completeness.

Foundations Of Combinatorics With Applications

Author : Edward A. Bender
ISBN : 9780486151502
Genre : Mathematics
File Size : 20. 22 MB
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Suitable for upper-level undergraduates and graduate students in engineering, science, and mathematics, this introductory text explores counting and listing, graphs, induction and recursion, and generating functions. Includes numerous exercises (some with solutions), notes, and references.

Introduction To The Analysis Of Algorithms An 3rd Edition

Author : Soltys-kulinicz Michael
ISBN : 9789813235922
Genre : Computers
File Size : 64. 71 MB
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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

Design And Analysis Of Algorithms

Author : V.V. Muniswamy
ISBN : 9789380026732
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File Size : 50. 93 MB
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This book is designed for the way we learn and intended for one-semester course in Design and Analysis of Algorithms . This is a very useful guide for graduate and undergraduate students and teachers of computer science. This book provides a coherent and pedagogically sound framework for learning and teaching. Its breadth of coverage insures that algorithms are carefully and comprehensively discussed with figures and tracing of algorithms. Carefully developing topics with sufficient detail, this text enables students to learn about concepts on their own, offering instructors flexibility and allowing them to use the text as lecture reinforcement.Key Features:" Focuses on simple explanations of techniques that can be applied to real-world problems." Presents algorithms with self-explanatory pseudocode." Covers a broad range of algorithms in depth, yet makes their design and analysis accessible to all levels of readers." Includes chapter summary, self-test quiz and exercises at the end of each chapter. Key to quizzes and solutions to exercises are given in appendices.

Design And Analysis Of Randomized Algorithms

Author : J. Hromkovic
ISBN : 9783540279037
Genre : Computers
File Size : 65. 43 MB
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Systematically teaches key paradigmic algorithm design methods Provides a deep insight into randomization

Introduction To The Design And Analysis Of Algorithms

Author : Seymour E. Goodman
ISBN : 0070237530
Genre : Computers
File Size : 88. 38 MB
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Introduction To The Design And Analysis Of Algorithms

Author : R. C. T. Lee
ISBN : 0071243461
Genre : Computer algorithms
File Size : 35. 82 MB
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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 Algorithms

Author : Thomas H.. Cormen
ISBN : 0262032937
Genre : Computers
File Size : 39. 70 MB
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An extensively revised edition of a mathematically rigorous yet accessible introduction to algorithms.

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