An Introduction To The Analysis Of Algorithms
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Introduction To The Analysis Of Algorithms An 2nd Edition
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Author : Michael Soltys-kulinicz
language : en
Publisher: World Scientific
Release Date : 2012-07-17
Introduction To The Analysis Of Algorithms An 2nd Edition written by Michael Soltys-kulinicz and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-07-17 with Computers categories.
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.
Practical Analysis Of Algorithms
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Author : Dana Vrajitoru
language : en
Publisher: Springer
Release Date : 2014-09-03
Practical Analysis Of Algorithms written by Dana Vrajitoru and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-09-03 with Computers categories.
This book introduces the essential concepts of algorithm analysis required by core undergraduate and graduate computer science courses, in addition to providing a review of the fundamental mathematical notions necessary to understand these concepts. Features: includes numerous fully-worked examples and step-by-step proofs, assuming no strong mathematical background; describes the foundation of the analysis of algorithms theory in terms of the big-Oh, Omega, and Theta notations; examines recurrence relations; discusses the concepts of basic operation, traditional loop counting, and best case and worst case complexities; reviews various algorithms of a probabilistic nature, and uses elements of probability theory to compute the average complexity of algorithms such as Quicksort; introduces a variety of classical finite graph algorithms, together with an analysis of their complexity; provides an appendix on probability theory, reviewing the major definitions and theorems used in the book.
Beyond The Worst Case Analysis Of Algorithms
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Author : Tim Roughgarden
language : en
Publisher: Cambridge University Press
Release Date : 2021-01-14
Beyond The Worst Case Analysis Of Algorithms written by Tim Roughgarden and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-01-14 with Computers categories.
Introduces exciting new methods for assessing algorithms for problems ranging from clustering to linear programming to neural networks.
Introduction To The Design Analysis Of Algorithms
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Author : Anany Levitin
language : en
Publisher:
Release Date : 2012
Introduction To The Design Analysis Of Algorithms written by Anany Levitin and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with Computers categories.
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.
Compared To What
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Author : Gregory J. E. Rawlins
language : en
Publisher: W H Freeman & Company
Release Date : 1992
Compared To What written by Gregory J. E. Rawlins and has been published by W H Freeman & Company this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with Computers categories.
Each chapter focuses on a basic programming problem and works through a variety of options for its solution, thus covering the essentials, incorporating pedagogical material, and giving students the experience of analysis. Math concepts are explained in the appendices. Annotation copyright by Book News, Inc., Portland, OR
Design And Analysis Of Randomized Algorithms
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Author : J. Hromkovic
language : en
Publisher: Springer Science & Business Media
Release Date : 2005-10-11
Design And Analysis Of Randomized Algorithms written by J. Hromkovic and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-10-11 with Computers categories.
Systematically teaches key paradigmic algorithm design methods Provides a deep insight into randomization
An Introduction To Data Structures And Algorithms
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Author : J.A. Storer
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
An Introduction To Data Structures And Algorithms written by J.A. Storer and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Computers categories.
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
Introduction To The Design And Analysis Of Algorithms
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Author : Seymour E. Goodman
language : en
Publisher: McGraw-Hill Companies
Release Date : 1977
Introduction To The Design And Analysis Of Algorithms written by Seymour E. Goodman and has been published by McGraw-Hill Companies this book supported file pdf, txt, epub, kindle and other format this book has been release on 1977 with Computers categories.
Introduction To The Analysis Of Algorithms An 3rd Edition
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Author : Michael Soltys-kulinicz
language : en
Publisher: World Scientific
Release Date : 2018-01-31
Introduction To The Analysis Of Algorithms An 3rd Edition written by Michael Soltys-kulinicz and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-01-31 with Computers categories.
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 www.msoltys.com/book for the companion web site).
Design And Analysis Of Algorithms
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Author : V. V. Muniswamy
language : en
Publisher: I. K. International Pvt Ltd
Release Date : 2013-12-30
Design And Analysis Of Algorithms written by V. V. Muniswamy and has been published by I. K. International Pvt Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-12-30 with Computers categories.
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.