Essential Algorithms

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Essential Algorithms

Author : Rod Stephens
Publisher : John Wiley & Sons
Page : 735 pages
File Size : 43,5 Mb
Release : 2013-07-25
Category : Computers
ISBN : 9781118797297

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Essential Algorithms by Rod Stephens Pdf

A friendly and accessible introduction to the most useful algorithms Computer algorithms are the basic recipes for programming. Professional programmers need to know how to use algorithms to solve difficult programming problems. Written in simple, intuitive English, this book describes how and when to use the most practical classic algorithms, and even how to create new algorithms to meet future needs. The book also includes a collection of questions that can help readers prepare for a programming job interview. Reveals methods for manipulating common data structures such as arrays, linked lists, trees, and networks Addresses advanced data structures such as heaps, 2-3 trees, B-trees Addresses general problem-solving techniques such as branch and bound, divide and conquer, recursion, backtracking, heuristics, and more Reviews sorting and searching, network algorithms, and numerical algorithms Includes general problem-solving techniques such as brute force and exhaustive search, divide and conquer, backtracking, recursion, branch and bound, and more In addition, Essential Algorithms features a companion website that includes full instructor materials to support training or higher ed adoptions.

Essential Algorithms

Author : Rod Stephens
Publisher : John Wiley & Sons
Page : 1078 pages
File Size : 53,6 Mb
Release : 2019-05-15
Category : Computers
ISBN : 9781119575986

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Essential Algorithms by Rod Stephens Pdf

A friendly introduction to the most useful algorithms written in simple, intuitive English The revised and updated second edition of Essential Algorithms, offers an accessible introduction to computer algorithms. The book contains a description of important classical algorithms and explains when each is appropriate. The author shows how to analyze algorithms in order to understand their behavior and teaches techniques that the can be used to create new algorithms to meet future needs. The text includes useful algorithms such as: methods for manipulating common data structures, advanced data structures, network algorithms, and numerical algorithms. It also offers a variety of general problem-solving techniques. In addition to describing algorithms and approaches, the author offers details on how to analyze the performance of algorithms. The book is filled with exercises that can be used to explore ways to modify the algorithms in order to apply them to new situations. This updated edition of Essential Algorithms: Contains explanations of algorithms in simple terms, rather than complicated math Steps through powerful algorithms that can be used to solve difficult programming problems Helps prepare for programming job interviews that typically include algorithmic questions Offers methods can be applied to any programming language Includes exercises and solutions useful to both professionals and students Provides code examples updated and written in Python and C# Essential Algorithms has been updated and revised and offers professionals and students a hands-on guide to analyzing algorithms as well as the techniques and applications. The book also includes a collection of questions that may appear in a job interview. The book’s website will include reference implementations in Python and C# (which can be easily applied to Java and C++).

Programming Quantum Computers

Author : Eric R. Johnston,Nic Harrigan,Mercedes Gimeno-Segovia
Publisher : O'Reilly Media
Page : 333 pages
File Size : 44,7 Mb
Release : 2019-07-03
Category : Computers
ISBN : 9781492039655

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Programming Quantum Computers by Eric R. Johnston,Nic Harrigan,Mercedes Gimeno-Segovia Pdf

Quantum computers are set to kick-start a second computing revolution in an exciting and intriguing way. Learning to program a Quantum Processing Unit (QPU) is not only fun and exciting, but it's a way to get your foot in the door. Like learning any kind of programming, the best way to proceed is by getting your hands dirty and diving into code. This practical book uses publicly available quantum computing engines, clever notation, and a programmer’s mindset to get you started. You'll be able to build up the intuition, skills, and tools needed to start writing quantum programs and solve problems that you care about.

Algorithms

Author : Panos Louridas
Publisher : MIT Press
Page : 314 pages
File Size : 41,5 Mb
Release : 2020-08-18
Category : Computers
ISBN : 9780262358675

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Algorithms by Panos Louridas Pdf

In the tradition of Real World Algorithms: A Beginner's Guide, Panos Louridas is back to introduce algorithms in an accessible manner, utilizing various examples to explain not just what algorithms are but how they work. Digital technology runs on algorithms, sets of instructions that describe how to do something efficiently. Application areas range from search engines to tournament scheduling, DNA sequencing, and machine learning. Arguing that every educated person today needs to have some understanding of algorithms and what they do, in this volume in the MIT Press Essential Knowledge series, Panos Louridas offers an introduction to algorithms that is accessible to the nonspecialist reader. Louridas explains not just what algorithms are but also how they work, offering a wide range of examples and keeping mathematics to a minimum.

Essential Algorithms for a Level Computer Science

Author : Craig Sargent,David Hillyard
Publisher : Unknown
Page : 191 pages
File Size : 55,8 Mb
Release : 2019-02-21
Category : Electronic
ISBN : 1794359427

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Essential Algorithms for a Level Computer Science by Craig Sargent,David Hillyard Pdf

Algorithms, Big O notation and the production of pseudocode are aspects of A level study that students often struggle with. There are many online sources that have too much detail and complex coded solutions. Course text books often lack the depth students would benefit from. This book explains all the algorithms in detail that are required by the major English and Welsh examination boards. Each algorithm is presented in plain English, together with typical uses, pseudocode, step-by-step illustrations and fully working code in both Python and Visual Basic. Algorithms are compared and the space and time complexity is explained thoroughly so that students understand why some algorithms are better than others. This book is supported by our free You Tube videos available at: student.craigndave.org

Algorithms of Oppression

Author : Safiya Umoja Noble
Publisher : NYU Press
Page : 245 pages
File Size : 52,5 Mb
Release : 2018-02-20
Category : Computers
ISBN : 9781479837243

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Algorithms of Oppression by Safiya Umoja Noble Pdf

Acknowledgments -- Introduction: the power of algorithms -- A society, searching -- Searching for Black girls -- Searching for people and communities -- Searching for protections from search engines -- The future of knowledge in the public -- The future of information culture -- Conclusion: algorithms of oppression -- Epilogue -- Notes -- Bibliography -- Index -- About the author

Practical Analysis of Algorithms

Author : Dana Vrajitoru,William Knight
Publisher : Springer
Page : 466 pages
File Size : 42,5 Mb
Release : 2014-09-03
Category : Computers
ISBN : 9783319098883

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Practical Analysis of Algorithms by Dana Vrajitoru,William Knight Pdf

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.

Introduction to Algorithms, third edition

Author : Thomas H. Cormen,Charles E. Leiserson,Ronald L. Rivest,Clifford Stein
Publisher : MIT Press
Page : 1313 pages
File Size : 51,8 Mb
Release : 2009-07-31
Category : Computers
ISBN : 9780262258104

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Introduction to Algorithms, third edition by Thomas H. Cormen,Charles E. Leiserson,Ronald L. Rivest,Clifford Stein Pdf

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.

Algorithms: The Building Blocks of Computer Programming

Author : Daniel R. Faust
Publisher : The Rosen Publishing Group, Inc
Page : 34 pages
File Size : 49,7 Mb
Release : 2018-07-15
Category : Juvenile Nonfiction
ISBN : 9781538331279

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Algorithms: The Building Blocks of Computer Programming by Daniel R. Faust Pdf

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.

Mastering Algorithms with C

Author : Kyle Loudon
Publisher : "O'Reilly Media, Inc."
Page : 560 pages
File Size : 45,7 Mb
Release : 1999
Category : Computers
ISBN : 9781565924536

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Mastering Algorithms with C by Kyle Loudon Pdf

A comprehensive guide to understanding the language of C offers solutions for everyday programming tasks and provides all the necessary information to understand and use common programming techniques. Original. (Intermediate).

Python Algorithms

Author : Magnus Lie Hetland
Publisher : Apress
Page : 303 pages
File Size : 46,9 Mb
Release : 2014-09-17
Category : Computers
ISBN : 9781484200551

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Python Algorithms by Magnus Lie Hetland Pdf

Python Algorithms, Second Edition explains the Python approach to algorithm analysis and design. Written by Magnus Lie Hetland, author of Beginning Python, this book is sharply focused on classical algorithms, but it also gives a solid understanding of fundamental algorithmic problem-solving techniques. The book deals with some of the most important and challenging areas of programming and computer science in a highly readable manner. It covers both algorithmic theory and programming practice, demonstrating how theory is reflected in real Python programs. Well-known algorithms and data structures that are built into the Python language are explained, and the user is shown how to implement and evaluate others.

Genetic Algorithm Essentials

Author : Oliver Kramer
Publisher : Springer
Page : 92 pages
File Size : 44,6 Mb
Release : 2017-01-07
Category : Technology & Engineering
ISBN : 9783319521565

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Genetic Algorithm Essentials by Oliver Kramer Pdf

This book introduces readers to genetic algorithms (GAs) with an emphasis on making the concepts, algorithms, and applications discussed as easy to understand as possible. Further, it avoids a great deal of formalisms and thus opens the subject to a broader audience in comparison to manuscripts overloaded by notations and equations. The book is divided into three parts, the first of which provides an introduction to GAs, starting with basic concepts like evolutionary operators and continuing with an overview of strategies for tuning and controlling parameters. In turn, the second part focuses on solution space variants like multimodal, constrained, and multi-objective solution spaces. Lastly, the third part briefly introduces theoretical tools for GAs, the intersections and hybridizations with machine learning, and highlights selected promising applications.

Algorithms and Data Structures

Author : Kurt Mehlhorn,Peter Sanders
Publisher : Springer Science & Business Media
Page : 300 pages
File Size : 42,6 Mb
Release : 2008-05-27
Category : Computers
ISBN : 9783540779780

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Algorithms and Data Structures by Kurt Mehlhorn,Peter Sanders Pdf

Algorithms are at the heart of every nontrivial computer application, and algorithmics is a modern and active area of computer science. Every computer scientist and every professional programmer should know about the basic algorithmic toolbox: structures that allow efficient organization and retrieval of data, frequently used algorithms, and basic techniques for modeling, understanding and solving algorithmic problems. This book is a concise introduction addressed to students and professionals familiar with programming and basic mathematical language. Individual chapters cover arrays and linked lists, hash tables and associative arrays, sorting and selection, priority queues, sorted sequences, graph representation, graph traversal, shortest paths, minimum spanning trees, and optimization. The algorithms are presented in a modern way, with explicitly formulated invariants, and comment on recent trends such as algorithm engineering, memory hierarchies, algorithm libraries and certifying algorithms. The authors use pictures, words and high-level pseudocode to explain the algorithms, and then they present more detail on efficient implementations using real programming languages like C++ and Java. The authors have extensive experience teaching these subjects to undergraduates and graduates, and they offer a clear presentation, with examples, pictures, informal explanations, exercises, and some linkage to the real world. Most chapters have the same basic structure: a motivation for the problem, comments on the most important applications, and then simple solutions presented as informally as possible and as formally as necessary. For the more advanced issues, this approach leads to a more mathematical treatment, including some theorems and proofs. Finally, each chapter concludes with a section on further findings, providing views on the state of research, generalizations and advanced solutions.

Fundamental Algorithms in Computational Fluid Dynamics

Author : Thomas H. Pulliam,David W. Zingg
Publisher : Springer Science & Business Media
Page : 211 pages
File Size : 42,7 Mb
Release : 2014-03-31
Category : Technology & Engineering
ISBN : 9783319050539

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Fundamental Algorithms in Computational Fluid Dynamics by Thomas H. Pulliam,David W. Zingg Pdf

Intended as a textbook for courses in computational fluid dynamics at the senior undergraduate or graduate level, this book is a follow-up to the book Fundamentals of Computational Fluid Dynamics by the same authors, which was published in the series Scientific Computation in 2001. Whereas the earlier book concentrated on the analysis of numerical methods applied to model equations, this new book concentrates on algorithms for the numerical solution of the Euler and Navier-Stokes equations. It focuses on some classical algorithms as well as the underlying ideas based on the latest methods. A key feature of the book is the inclusion of programming exercises at the end of each chapter based on the numerical solution of the quasi-one-dimensional Euler equations and the shock-tube problem. These exercises can be included in the context of a typical course and sample solutions are provided in each chapter, so readers can confirm that they have coded the algorithms correctly.

Algorithms in a Nutshell

Author : George T. Heineman,Gary Pollice,Stanley Selkow
Publisher : "O'Reilly Media, Inc."
Page : 364 pages
File Size : 41,6 Mb
Release : 2008-10-14
Category : Computers
ISBN : 9781449391133

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Algorithms in a Nutshell by George T. Heineman,Gary Pollice,Stanley Selkow Pdf

Creating robust software requires the use of efficient algorithms, but programmers seldom think about them until a problem occurs. Algorithms in a Nutshell describes a large number of existing algorithms for solving a variety of problems, and helps you select and implement the right algorithm for your needs -- with just enough math to let you understand and analyze algorithm performance. With its focus on application, rather than theory, this book provides efficient code solutions in several programming languages that you can easily adapt to a specific project. Each major algorithm is presented in the style of a design pattern that includes information to help you understand why and when the algorithm is appropriate. With this book, you will: Solve a particular coding problem or improve on the performance of an existing solution Quickly locate algorithms that relate to the problems you want to solve, and determine why a particular algorithm is the right one to use Get algorithmic solutions in C, C++, Java, and Ruby with implementation tips Learn the expected performance of an algorithm, and the conditions it needs to perform at its best Discover the impact that similar design decisions have on different algorithms Learn advanced data structures to improve the efficiency of algorithms With Algorithms in a Nutshell, you'll learn how to improve the performance of key algorithms essential for the success of your software applications.