A Guide To Algorithm Design

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A Guide to Algorithm Design

Anne Benoit,Yves Robert,Frédéric Vivien
A Guide to Algorithm Design Book PDF

Author : Anne Benoit,Yves Robert,Frédéric Vivien
Publisher : CRC Press
Page : 380 pages
File Size : 53,5 Mb
Release : 2013-08-27
Category : Computers
ISBN : 9781439898130

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A Guide to Algorithm Design by Anne Benoit,Yves Robert,Frédéric Vivien Pdf

Presenting a complementary perspective to standard books on algorithms, A Guide to Algorithm Design: Paradigms, Methods, and Complexity Analysis provides a roadmap for readers to determine the difficulty of an algorithmic problem by finding an optimal solution or proving complexity results. It gives a practical treatment of algorithmic complexity and guides readers in solving algorithmic problems. Divided into three parts, the book offers a comprehensive set of problems with solutions as well as in-depth case studies that demonstrate how to assess the complexity of a new problem. Part I helps readers understand the main design principles and design efficient algorithms. Part II covers polynomial reductions from NP-complete problems and approaches that go beyond NP-completeness. Part III supplies readers with tools and techniques to evaluate problem complexity, including how to determine which instances are polynomial and which are NP-hard. Drawing on the authors’ classroom-tested material, this text takes readers step by step through the concepts and methods for analyzing algorithmic complexity. Through many problems and detailed examples, readers can investigate polynomial-time algorithms and NP-completeness and beyond.

The Algorithm Design Manual

Steven S Skiena
The Algorithm Design Manual Book PDF

Author : Steven S Skiena
Publisher : Springer Science & Business Media
Page : 742 pages
File Size : 52,7 Mb
Release : 2009-04-05
Category : Computers
ISBN : 9781848000704

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The Algorithm Design Manual by Steven S Skiena Pdf

This newly expanded and updated second edition of the best-selling classic continues to take the "mystery" out of designing algorithms, and analyzing their efficacy and efficiency. Expanding on the first edition, the book now serves as the primary textbook of choice for algorithm design courses while maintaining its status as the premier practical reference guide to algorithms for programmers, researchers, and students. The reader-friendly Algorithm Design Manual provides straightforward access to combinatorial algorithms technology, stressing design over analysis. The first part, Techniques, provides accessible instruction on methods for designing and analyzing computer algorithms. The second part, Resources, is intended for browsing and reference, and comprises the catalog of algorithmic resources, implementations and an extensive bibliography. NEW to the second edition: • Doubles the tutorial material and exercises over the first edition • Provides full online support for lecturers, and a completely updated and improved website component with lecture slides, audio and video • Contains a unique catalog identifying the 75 algorithmic problems that arise most often in practice, leading the reader down the right path to solve them • Includes several NEW "war stories" relating experiences from real-world applications • Provides up-to-date links leading to the very best algorithm implementations available in C, C++, and Java

Algorithm Design and Applications

Michael T. Goodrich,Roberto Tamassia
Algorithm Design and Applications Book PDF

Author : Michael T. Goodrich,Roberto Tamassia
Publisher : Wiley Global Education
Page : 800 pages
File Size : 47,8 Mb
Release : 2014-10-27
Category : Computers
ISBN : 9781119028482

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Algorithm Design and Applications by Michael T. Goodrich,Roberto Tamassia Pdf

Introducing a NEW addition to our growing library of computer science titles, Algorithm Design and Applications, by Michael T. Goodrich & Roberto Tamassia! Algorithms is a course required for all computer science majors, with a strong focus on theoretical topics. Students enter the course after gaining hands-on experience with computers, and are expected to learn how algorithms can be applied to a variety of contexts. This new book integrates application with theory. Goodrich & Tamassia believe that the best way to teach algorithmic topics is to present them in a context that is motivated from applications to uses in society, computer games, computing industry, science, engineering, and the internet. The text teaches students about designing and using algorithms, illustrating connections between topics being taught and their potential applications, increasing engagement.

The Art of Algorithm Design

Sachi Nandan Mohanty,Pabitra Kumar Tripathy,Suneeta Satpathy
The Art of Algorithm Design Book PDF

Author : Sachi Nandan Mohanty,Pabitra Kumar Tripathy,Suneeta Satpathy
Publisher : CRC Press
Page : 272 pages
File Size : 49,9 Mb
Release : 2021-10-14
Category : Computers
ISBN : 9781000463798

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The Art of Algorithm Design by Sachi Nandan Mohanty,Pabitra Kumar Tripathy,Suneeta Satpathy Pdf

The Art of Algorithm Design is a complementary perception of all books on algorithm design and is a roadmap for all levels of learners as well as professionals dealing with algorithmic problems. Further, the book provides a comprehensive introduction to algorithms and covers them in considerable depth, yet makes their design and analysis accessible to all levels of readers. All algorithms are described and designed with a "pseudo-code" to be readable by anyone with little knowledge of programming. This book comprises of a comprehensive set of problems and their solutions against each algorithm to demonstrate its executional assessment and complexity, with an objective to: Understand the introductory concepts and design principles of algorithms and their complexities Demonstrate the programming implementations of all the algorithms using C-Language Be an excellent handbook on algorithms with self-explanatory chapters enriched with problems and solutions While other books may also cover some of the same topics, this book is designed to be both versatile and complete as it traverses through step-by-step concepts and methods for analyzing each algorithmic complexity with pseudo-code examples. Moreover, the book provides an enjoyable primer to the field of algorithms. This book is designed for undergraduates and postgraduates studying algorithm design.

The Ethical Algorithm

Michael Kearns,Aaron Roth
The Ethical Algorithm Book PDF

Author : Michael Kearns,Aaron Roth
Publisher : Oxford University Press
Page : 288 pages
File Size : 40,7 Mb
Release : 2019-10-04
Category : Computers
ISBN : 9780190948214

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The Ethical Algorithm by Michael Kearns,Aaron Roth Pdf

Over the course of a generation, algorithms have gone from mathematical abstractions to powerful mediators of daily life. Algorithms have made our lives more efficient, more entertaining, and, sometimes, better informed. At the same time, complex algorithms are increasingly violating the basic rights of individual citizens. Allegedly anonymized datasets routinely leak our most sensitive personal information; statistical models for everything from mortgages to college admissions reflect racial and gender bias. Meanwhile, users manipulate algorithms to "game" search engines, spam filters, online reviewing services, and navigation apps. Understanding and improving the science behind the algorithms that run our lives is rapidly becoming one of the most pressing issues of this century. Traditional fixes, such as laws, regulations and watchdog groups, have proven woefully inadequate. Reporting from the cutting edge of scientific research, The Ethical Algorithm offers a new approach: a set of principled solutions based on the emerging and exciting science of socially aware algorithm design. Michael Kearns and Aaron Roth explain how we can better embed human principles into machine code - without halting the advance of data-driven scientific exploration. Weaving together innovative research with stories of citizens, scientists, and activists on the front lines, The Ethical Algorithm offers a compelling vision for a future, one in which we can better protect humans from the unintended impacts of algorithms while continuing to inspire wondrous advances in technology.

Algorithms Illuminated, Part 1

Tim Roughgarden
Algorithms Illuminated Part 1 Book PDF

Author : Tim Roughgarden
Publisher : Unknown
Page : 218 pages
File Size : 53,5 Mb
Release : 2017-09-27
Category : Computer algorithms
ISBN : 0999282905

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Algorithms Illuminated, Part 1 by Tim Roughgarden Pdf

Algorithms Illuminated is an accessible introduction to algorithms for anyone with at least a little programming experience, based on a sequence of popular online courses. Part 1 covers asymptotic analysis and big-O notation, divide-and-conquer algorithms, randomized algorithms, and several famous algorithms for sorting and selection.

Guide to Competitive Programming

Antti Laaksonen
Guide to Competitive Programming Book PDF

Author : Antti Laaksonen
Publisher : Springer
Page : 283 pages
File Size : 52,9 Mb
Release : 2018-01-02
Category : Computers
ISBN : 9783319725475

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Guide to Competitive Programming by Antti Laaksonen Pdf

This invaluable textbook presents a comprehensive introduction to modern competitive programming. The text highlights how competitive programming has proven to be an excellent way to learn algorithms, by encouraging the design of algorithms that actually work, stimulating the improvement of programming and debugging skills, and reinforcing the type of thinking required to solve problems in a competitive setting. The book contains many “folklore” algorithm design tricks that are known by experienced competitive programmers, yet which have previously only been formally discussed in online forums and blog posts. Topics and features: reviews the features of the C++ programming language, and describes how to create efficient algorithms that can quickly process large data sets; discusses sorting algorithms and binary search, and examines a selection of data structures of the C++ standard library; introduces the algorithm design technique of dynamic programming, and investigates elementary graph algorithms; covers such advanced algorithm design topics as bit-parallelism and amortized analysis, and presents a focus on efficiently processing array range queries; surveys specialized algorithms for trees, and discusses the mathematical topics that are relevant in competitive programming; examines advanced graph techniques, geometric algorithms, and string techniques; describes a selection of more advanced topics, including square root algorithms and dynamic programming optimization. This easy-to-follow guide is an ideal reference for all students wishing to learn algorithms, and practice for programming contests. Knowledge of the basics of programming is assumed, but previous background in algorithm design or programming contests is not necessary. Due to the broad range of topics covered at various levels of difficulty, this book is suitable for both beginners and more experienced readers.

Algorithm Design

Jon Kleinberg,Eva Tardos
Algorithm Design Book PDF

Author : Jon Kleinberg,Eva Tardos
Publisher : Pearson Higher Ed
Page : 828 pages
File Size : 41,6 Mb
Release : 2013-08-29
Category : Computers
ISBN : 9781292037042

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Algorithm Design by Jon Kleinberg,Eva Tardos Pdf

Algorithm Design introduces algorithms by looking at the real-world problems that motivate them. The book teaches students a range of design and analysis techniques for problems that arise in computing applications. The text encourages an understanding of the algorithm design process and an appreciation of the role of algorithms in the broader field of computer science. The full text downloaded to your computer With eBooks you can: search for key concepts, words and phrases make highlights and notes as you study share your notes with friends eBooks are downloaded to your computer and accessible either offline through the Bookshelf (available as a free download), available online and also via the iPad and Android apps. Upon purchase, you'll gain instant access to this eBook. Time limit The eBooks products do not have an expiry date. You will continue to access your digital ebook products whilst you have your Bookshelf installed.

Pearls of Functional Algorithm Design

Richard Bird
Pearls of Functional Algorithm Design Book PDF

Author : Richard Bird
Publisher : Cambridge University Press
Page : 128 pages
File Size : 43,8 Mb
Release : 2010-09-16
Category : Computers
ISBN : 9781139490603

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Pearls of Functional Algorithm Design by Richard Bird Pdf

Richard Bird takes a radical approach to algorithm design, namely, design by calculation. These 30 short chapters each deal with a particular programming problem drawn from sources as diverse as games and puzzles, intriguing combinatorial tasks, and more familiar areas such as data compression and string matching. Each pearl starts with the statement of the problem expressed using the functional programming language Haskell, a powerful yet succinct language for capturing algorithmic ideas clearly and simply. The novel aspect of the book is that each solution is calculated from an initial formulation of the problem in Haskell by appealing to the laws of functional programming. Pearls of Functional Algorithm Design will appeal to the aspiring functional programmer, students and teachers interested in the principles of algorithm design, and anyone seeking to master the techniques of reasoning about programs in an equational style.

Algorithms in a Nutshell

George T. Heineman,Gary Pollice,Stanley Selkow
Algorithms in a Nutshell Book PDF

Author : George T. Heineman,Gary Pollice,Stanley Selkow
Publisher : "O'Reilly Media, Inc."
Page : 366 pages
File Size : 54,6 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.

Algorithm Design

Michael T. Goodrich,Roberto Tamassia
Algorithm Design Book PDF

Author : Michael T. Goodrich,Roberto Tamassia
Publisher : John Wiley & Sons
Page : 722 pages
File Size : 51,8 Mb
Release : 2001-10-15
Category : Computers
ISBN : 9780471383659

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Algorithm Design by Michael T. Goodrich,Roberto Tamassia Pdf

Michael Goodrich and Roberto Tamassia, authors of the successful, Data Structures and Algorithms in Java, 2/e, have written Algorithm Engineering, a text designed to provide a comprehensive introduction to the design, implementation and analysis of computer algorithms and data structures from a modern perspective. This book offers theoretical analysis techniques as well as algorithmic design patterns and experimental methods for the engineering of algorithms. Market: Computer Scientists; Programmers.

The Design and Analysis of Algorithms

Dexter C. Kozen
The Design and Analysis of Algorithms Book PDF

Author : Dexter C. Kozen
Publisher : Springer Science & Business Media
Page : 327 pages
File Size : 55,7 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9781461244004

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The Design and Analysis of Algorithms by Dexter C. Kozen Pdf

These are my lecture notes from CS681: Design and Analysis of Algo rithms, a one-semester graduate course I taught at Cornell for three consec utive fall semesters from '88 to '90. The course serves a dual purpose: to cover core material in algorithms for graduate students in computer science preparing for their PhD qualifying exams, and to introduce theory students to some advanced topics in the design and analysis of algorithms. The material is thus a mixture of core and advanced topics. At first I meant these notes to supplement and not supplant a textbook, but over the three years they gradually took on a life of their own. In addition to the notes, I depended heavily on the texts • A. V. Aho, J. E. Hopcroft, and J. D. Ullman, The Design and Analysis of Computer Algorithms. Addison-Wesley, 1975. • M. R. Garey and D. S. Johnson, Computers and Intractibility: A Guide to the Theory of NP-Completeness. w. H. Freeman, 1979. • R. E. Tarjan, Data Structures and Network Algorithms. SIAM Regional Conference Series in Applied Mathematics 44, 1983. and still recommend them as excellent references.

Algorithmic Thinking

Daniel Zingaro
Algorithmic Thinking Book PDF

Author : Daniel Zingaro
Publisher : No Starch Press
Page : 409 pages
File Size : 55,6 Mb
Release : 2020-12-15
Category : Computers
ISBN : 9781718500815

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Algorithmic Thinking by Daniel Zingaro Pdf

A hands-on, problem-based introduction to building algorithms and data structures to solve problems with a computer. Algorithmic Thinking will teach you how to solve challenging programming problems and design your own algorithms. Daniel Zingaro, a master teacher, draws his examples from world-class programming competitions like USACO and IOI. You'll learn how to classify problems, choose data structures, and identify appropriate algorithms. You'll also learn how your choice of data structure, whether a hash table, heap, or tree, can affect runtime and speed up your algorithms; and how to adopt powerful strategies like recursion, dynamic programming, and binary search to solve challenging problems. Line-by-line breakdowns of the code will teach you how to use algorithms and data structures like: The breadth-first search algorithm to find the optimal way to play a board game or find the best way to translate a book Dijkstra's algorithm to determine how many mice can exit a maze or the number of fastest routes between two locations The union-find data structure to answer questions about connections in a social network or determine who are friends or enemies The heap data structure to determine the amount of money given away in a promotion The hash-table data structure to determine whether snowflakes are unique or identify compound words in a dictionary NOTE: Each problem in this book is available on a programming-judge website. You'll find the site's URL and problem ID in the description. What's better than a free correctness check?

The Data Science Design Manual

Steven S. Skiena
The Data Science Design Manual Book PDF

Author : Steven S. Skiena
Publisher : Springer
Page : 445 pages
File Size : 53,5 Mb
Release : 2017-07-01
Category : Computers
ISBN : 9783319554440

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The Data Science Design Manual by Steven S. Skiena Pdf

This engaging and clearly written textbook/reference provides a must-have introduction to the rapidly emerging interdisciplinary field of data science. It focuses on the principles fundamental to becoming a good data scientist and the key skills needed to build systems for collecting, analyzing, and interpreting data. The Data Science Design Manual is a source of practical insights that highlights what really matters in analyzing data, and provides an intuitive understanding of how these core concepts can be used. The book does not emphasize any particular programming language or suite of data-analysis tools, focusing instead on high-level discussion of important design principles. This easy-to-read text ideally serves the needs of undergraduate and early graduate students embarking on an “Introduction to Data Science” course. It reveals how this discipline sits at the intersection of statistics, computer science, and machine learning, with a distinct heft and character of its own. Practitioners in these and related fields will find this book perfect for self-study as well. Additional learning tools: Contains “War Stories,” offering perspectives on how data science applies in the real world Includes “Homework Problems,” providing a wide range of exercises and projects for self-study Provides a complete set of lecture slides and online video lectures at www.data-manual.com Provides “Take-Home Lessons,” emphasizing the big-picture concepts to learn from each chapter Recommends exciting “Kaggle Challenges” from the online platform Kaggle Highlights “False Starts,” revealing the subtle reasons why certain approaches fail Offers examples taken from the data science television show “The Quant Shop” (www.quant-shop.com)

Techniques for Designing and Analyzing Algorithms

Douglas R. Stinson
Techniques for Designing and Analyzing Algorithms Book PDF

Author : Douglas R. Stinson
Publisher : CRC Press
Page : 444 pages
File Size : 55,7 Mb
Release : 2021-08-05
Category : Mathematics
ISBN : 9781000403695

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Techniques for Designing and Analyzing Algorithms by Douglas R. Stinson Pdf

Techniques for Designing and Analyzing Algorithms Design and analysis of algorithms can be a difficult subject for students due to its sometimes-abstract nature and its use of a wide variety of mathematical tools. Here the author, an experienced and successful textbook writer, makes the subject as straightforward as possible in an up-to-date textbook incorporating various new developments appropriate for an introductory course. This text presents the main techniques of algorithm design, namely, divide-and-conquer algorithms, greedy algorithms, dynamic programming algorithms, and backtracking. Graph algorithms are studied in detail, and a careful treatment of the theory of NP-completeness is presented. In addition, the text includes useful introductory material on mathematical background including order notation, algorithm analysis and reductions, and basic data structures. This will serve as a useful review and reference for students who have covered this material in a previous course. Features The first three chapters provide a mathematical review, basic algorithm analysis, and data structures Detailed pseudocode descriptions of the algorithms along with illustrative algorithms are included Proofs of correctness of algorithms are included when appropriate The book presents a suitable amount of mathematical rigor After reading and understanding the material in this book, students will be able to apply the basic design principles to various real-world problems that they may encounter in their future professional careers.