Basic Concepts In Algorithms
Basic Concepts In Algorithms

Author: Shmuel Tomi Klein

Publisher: World Scientific

Published: 2021-07-12

Total Pages: 364

ISBN-13: 9811237603

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This book is the result of several decades of teaching experience in data structures and algorithms. It is self-contained but does assume some prior knowledge of data structures, and a grasp of basic programming and mathematics tools. Basic Concepts in Algorithms focuses on more advanced paradigms and methods combining basic programming constructs as building blocks and their usefulness in the derivation of algorithms. Its coverage includes the algorithms' design process and an analysis of their performance. It is primarily intended as a textbook for the teaching of Algorithms for second year undergraduate students in study fields related to computers and programming.Klein reproduces his oral teaching style in writing, with one topic leading to another, related one. Most of the classical and some more advanced subjects in the theory of algorithms are covered, though not in a comprehensive manner. The topics include Divide and Conquer, Dynamic Programming, Graph algorithms, probabilistic algorithms, data compression, numerical algorithms and intractability. Each chapter comes with its own set of exercises, and solutions to most of them are appended.Related Link(s)

Fundamentals of Natural Computing
Fundamentals of Natural Computing

Author: Leandro Nunes de Castro

Publisher: CRC Press

Published: 2006-06-02

Total Pages: 674

ISBN-13: 1420011448

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Natural computing brings together nature and computing to develop new computational tools for problem solving; to synthesize natural patterns and behaviors in computers; and to potentially design novel types of computers. Fundamentals of Natural Computing: Basic Concepts, Algorithms, and Applications presents a wide-ranging survey of novel techniqu

Elementary Synchronous Programming
Elementary Synchronous Programming

Author: Ali S. Janfada

Publisher: Walter de Gruyter GmbH & Co KG

Published: 2019-06-04

Total Pages: 410

ISBN-13: 3110616483

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Algorithms are the essence of programming. After their construction, they have to be translated to the codes of a specific programming language. There exists a maximum of ten basic algorithmic templates. This textbook aims to provide the reader with a more convenient and efficient method to create a program by translating algorithms, template by template with C++ and Java. This is the slogan of the book: You will be a professional programmer whenever you become a skilled algorithm designer. This book attempts to gradually strengthen the readers’ ability to identify and analyze the mental commands which are issued and implemented in their brains for solving the problems in which mathematical computations are applied and try to design an algorithm based on their understanding and analyses. It then seeks to encourage the readers to develop their skills in algorithm-writing for computational problems and synchronously teach them to translate the algorithms into C++ and Java codes using the least necessary keywords.

Introduction to Algorithms, third edition
Introduction to Algorithms, third edition

Author: Thomas H. Cormen

Publisher: MIT Press

Published: 2009-07-31

Total Pages: 1313

ISBN-13: 0262258102

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The latest 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. Some books on algorithms are rigorous but incomplete; others cover masses of material but lack rigor. Introduction to Algorithms uniquely combines rigor and comprehensiveness. The book covers a broad range of algorithms in depth, yet makes their design and analysis accessible to all levels of readers. Each chapter is relatively self-contained and can be used as a unit of study. The algorithms are described in English and in a pseudocode designed 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 first edition became a widely used text in universities worldwide as well as the standard reference for professionals. The second edition featured new chapters on the role of algorithms, probabilistic analysis and randomized algorithms, and linear programming. The third edition has been revised and updated throughout. It includes two completely new chapters, on van Emde Boas trees and multithreaded algorithms, substantial additions to the chapter on recurrence (now called “Divide-and-Conquer”), and an appendix on matrices. 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 exercises and problems have been added for this edition. The international paperback edition is no longer available; the hardcover is available worldwide.

Data Mining and Analysis
Data Mining and Analysis

Author: Mohammed J. Zaki

Publisher: Cambridge University Press

Published: 2014-05-12

Total Pages: 607

ISBN-13: 0521766338

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A comprehensive overview of data mining from an algorithmic perspective, integrating related concepts from machine learning and statistics.

Data Mining and Machine Learning
Data Mining and Machine Learning

Author: Mohammed J. Zaki

Publisher: Cambridge University Press

Published: 2020-01-30

Total Pages: 779

ISBN-13: 1108473989

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New to the second edition of this advanced text are several chapters on regression, including neural networks and deep learning.

Basic Concepts in Data Structures
Basic Concepts in Data Structures

Author: Shmuel T. Klein

Publisher: Cambridge University Press

Published: 2016-10-28

Total Pages: 233

ISBN-13: 1107161274

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This concise text offers an accessible, conceptual presentation for students in any quantitative field.

Introduction To Algorithms
Introduction To Algorithms

Author: Thomas H Cormen

Publisher: MIT Press

Published: 2001

Total Pages: 1216

ISBN-13: 9780262032933

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An extensively revised edition of a mathematically rigorous yet accessible introduction to algorithms.

Algorithms: The Building Blocks of Computer Programming
Algorithms: The Building Blocks of Computer Programming

Author: Daniel R. Faust

Publisher: The Rosen Publishing Group, Inc

Published: 2018-07-15

Total Pages: 34

ISBN-13: 1538331276

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Algorithms might sound like a complicated tech term, but don't be intimidated, people actually use them every day. Using accessible language and full-color photographs, this book simplifies algorithms in an easy-to-understand way. Readers will be amazed to learn that an algorithm is just a set of steps for computers to follow to get things done. STEM topics from the Next Generation Science Standards are emphasized throughout the text. Sidebars featuring key terms help readers grow their tech vocabulary, and fact boxes provide additional opportunities to learn.

Algorithms, Part II
Algorithms, Part II

Author: Robert Sedgewick

Publisher: Addison-Wesley Professional

Published: 2014-02-01

Total Pages: 973

ISBN-13: 0133847268

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This book is Part II of the fourth edition of Robert Sedgewick and Kevin Wayne’s Algorithms, the leading textbook on algorithms today, widely used in colleges and universities worldwide. Part II contains Chapters 4 through 6 of the book. The fourth edition of Algorithms surveys the most important computer algorithms currently in use and provides a full treatment of data structures and algorithms for sorting, searching, graph processing, and string processing -- including fifty algorithms every programmer should know. In this edition, new Java implementations are written in an accessible modular programming style, where all of the code is exposed to the reader and ready to use. The algorithms in this book represent a body of knowledge developed over the last 50 years that has become indispensable, not just for professional programmers and computer science students but for any student with interests in science, mathematics, and engineering, not to mention students who use computation in the liberal arts. The companion web site, algs4.cs.princeton.edu contains An online synopsis Full Java implementations Test data Exercises and answers Dynamic visualizations Lecture slides Programming assignments with checklists Links to related material The MOOC related to this book is accessible via the "Online Course" link at algs4.cs.princeton.edu. The course offers more than 100 video lecture segments that are integrated with the text, extensive online assessments, and the large-scale discussion forums that have proven so valuable. Offered each fall and spring, this course regularly attracts tens of thousands of registrants. Robert Sedgewick and Kevin Wayne are developing a modern approach to disseminating knowledge that fully embraces technology, enabling people all around the world to discover new ways of learning and teaching. By integrating their textbook, online content, and MOOC, all at the state of the art, they have built a unique resource that greatly expands the breadth and depth of the educational experience.