A Guide To Algorithm Design
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A Guide To Algorithm Design
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Author : Anne Benoit
language : en
Publisher: CRC Press
Release Date : 2013-08-27
A Guide To Algorithm Design written by Anne Benoit and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-08-27 with Computers categories.
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
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Author : Steven S Skiena
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-04-05
The Algorithm Design Manual written by Steven S Skiena 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 2009-04-05 with Computers categories.
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
A Guide To Experimental Algorithmics
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Author : Catherine C. McGeoch
language : en
Publisher: Cambridge University Press
Release Date : 2012-01-30
A Guide To Experimental Algorithmics written by Catherine C. McGeoch 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 2012-01-30 with Computers categories.
This is a guidebook for those who want to use computational experiments to support their work in algorithm design and analysis. Numerous case studies and examples show how to apply these concepts. All the necessary concepts in computer architecture and data analysis are covered so that the book can be used by anyone who has taken a course or two in data structures and algorithms.
Greedy Methods For Algorithm Design Foundations Analysis And Practical Applications
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Author : William E Clark
language : en
Publisher: Walzone Press
Release Date : 2025-08-24
Greedy Methods For Algorithm Design Foundations Analysis And Practical Applications written by William E Clark and has been published by Walzone Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-24 with Computers categories.
Greedy Methods for Algorithm Design: Foundations, Analysis, and Practical Applications offers a rigorous, comprehensive introduction to one of the most influential paradigms in algorithm design. Beginning with precise definitions and core principles—such as the greedy-choice property and optimal substructure—the book explains when and why greedy approaches succeed or fail. It systematically contrasts greedy methods with related paradigms like dynamic programming, presents essential proof techniques and canonical counterexamples, and is written to be accessible to advanced students, practitioners, and researchers alike. The text develops the mathematical foundations needed to analyze greedy algorithms, including matroid theory, greedoids, exchange arguments, and linear programming duality, and uses these tools to derive correctness proofs and approximation guarantees. These principles are applied across a broad range of canonical problems—minimum spanning trees, shortest paths, data compression, and resource allocation—and extended to advanced strategies such as randomized, adaptive, and online greedy schemes. Special attention is given to the unique challenges that arise in graph algorithms, combinatorial optimization, and machine learning, illustrating both the versatility and the limits of greedy design. Beyond theory, the book addresses practical concerns of efficient implementation, from choice of data structures and profiling techniques to parallel, distributed, and cloud- and edge-computing deployments. Closing chapters survey emerging applications in fields such as bioinformatics and blockchain, explore hybrid metaheuristics and open theoretical problems, and consider the broader ethical and societal implications of deploying greedy methods. Altogether, this volume serves as an authoritative reference for mastering greedy methods in both foundational analysis and real-world practice.
Bioinformatics
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Author : Rob Botwright
language : en
Publisher: Rob Botwright
Release Date : 2024
Bioinformatics written by Rob Botwright and has been published by Rob Botwright this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024 with Science categories.
Introducing the Ultimate Bioinformatics Book Bundle! Dive into the world of bioinformatics with our comprehensive book bundle, featuring four essential volumes that cover everything from foundational concepts to advanced applications. Whether you're a student, researcher, or practitioner in the life sciences, this bundle has something for everyone. Book 1: Bioinformatics Basics Get started with the basics of bioinformatics in this introductory volume. Learn about algorithms, concepts, and principles that form the backbone of bioinformatics research. From sequence analysis to genetic variation, this book lays the groundwork for understanding the fundamental aspects of bioinformatics. Book 2: Coding in Bioinformatics Take your skills to the next level with our coding-focused volume. Explore scripting languages like Python and R, and discover how to apply them to bioinformatics tasks. From data manipulation to machine learning, this book covers a wide range of coding techniques and applications in bioinformatics. Book 3: Exploring Data Science in Bioinformatics Delve into the world of data science and its applications in bioinformatics. Learn about exploratory data analysis, statistical inference, and machine learning techniques tailored specifically for biological data. With practical examples and case studies, this book helps you extract meaningful insights from complex datasets. Book 4: Mastering Biostatistics in Bioinformatics Unlock the power of biostatistics with our advanced methods volume. Explore cutting-edge statistical techniques for analyzing biological data, including survival analysis, meta-analysis, and more. Whether you're conducting experimental studies or analyzing clinical data, this book equips you with the tools you need to draw meaningful conclusions. Why Choose Our Bundle? · Comprehensive Coverage: Covering everything from basic concepts to advanced methods, this bundle provides a complete overview of bioinformatics. · Practical Focus: With hands-on coding exercises and real-world examples, our books emphasize practical skills and applications. · Expert Authors: Authored by experts in the field of bioinformatics, each book offers valuable insights and expertise. · Versatile Learning: Whether you're a beginner or an experienced practitioner, our bundle caters to learners of all levels. Don't miss out on this opportunity to enhance your skills and knowledge in bioinformatics. Order your copy of the Bioinformatics Book Bundle today!
Algorithm Design A Complete Guide 2020 Edition
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Author : Gerardus Blokdyk
language : en
Publisher: 5starcooks
Release Date : 2020-01-19
Algorithm Design A Complete Guide 2020 Edition written by Gerardus Blokdyk and has been published by 5starcooks this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-19 with categories.
Have you included everything in your Algorithm design cost models? What tools do you use once you have decided on a Algorithm design strategy and more importantly how do you choose? How do you use Algorithm design data and information to support organizational decision making and innovation? Will new equipment/products be required to facilitate Algorithm design delivery, for example is new software needed? Why is it important to have senior management support for a Algorithm design project? This one-of-a-kind Algorithm Design self-assessment will make you the accepted Algorithm Design domain visionary by revealing just what you need to know to be fluent and ready for any Algorithm Design challenge. How do I reduce the effort in the Algorithm Design work to be done to get problems solved? How can I ensure that plans of action include every Algorithm Design task and that every Algorithm Design outcome is in place? How will I save time investigating strategic and tactical options and ensuring Algorithm Design costs are low? How can I deliver tailored Algorithm Design advice instantly with structured going-forward plans? There's no better guide through these mind-expanding questions than acclaimed best-selling author Gerard Blokdyk. Blokdyk ensures all Algorithm Design essentials are covered, from every angle: the Algorithm Design self-assessment shows succinctly and clearly that what needs to be clarified to organize the required activities and processes so that Algorithm Design outcomes are achieved. Contains extensive criteria grounded in past and current successful projects and activities by experienced Algorithm Design practitioners. Their mastery, combined with the easy elegance of the self-assessment, provides its superior value to you in knowing how to ensure the outcome of any efforts in Algorithm Design are maximized with professional results. Your purchase includes access details to the Algorithm Design self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows you exactly what to do next. Your exclusive instant access details can be found in your book. You will receive the following contents with New and Updated specific criteria: - The latest quick edition of the book in PDF - The latest complete edition of the book in PDF, which criteria correspond to the criteria in... - The Self-Assessment Excel Dashboard - Example pre-filled Self-Assessment Excel Dashboard to get familiar with results generation - In-depth and specific Algorithm Design Checklists - Project management checklists and templates to assist with implementation INCLUDES LIFETIME SELF ASSESSMENT UPDATES Every self assessment comes with Lifetime Updates and Lifetime Free Updated Books. Lifetime Updates is an industry-first feature which allows you to receive verified self assessment updates, ensuring you always have the most accurate information at your fingertips.
A Guide To Structured Programming In Basic For The Ibm Pc And Compatibles
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Author : Bruce Presley
language : en
Publisher: Lawrenceville Press, Incorporated
Release Date : 1992
A Guide To Structured Programming In Basic For The Ibm Pc And Compatibles written by Bruce Presley and has been published by Lawrenceville Press, Incorporated this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with Computers categories.
This updated text uses a structured programming approach to develop strong programming techniques and problem solving skills.
A Guide To Design And Analysis Of Algorithms
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Author : Soubhik Chakraborty
language : en
Publisher:
Release Date : 2022-12-30
A Guide To Design And Analysis Of Algorithms written by Soubhik Chakraborty and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-12-30 with categories.
As there can be more than one algorithm for the same problem, designing and analyzing an algorithm becomes important in order to make it as efficient and robust as possible. This book will serve as a guide to design and analysis of computer algorithms. Chapter One provides an overview of different algorithm design techniques and the various applications of such techniques. Chapter Two reviews the divide and conquer strategy and the algorithm types that employ it. Chapter Three explores greedy algorithms and some problems that can be solved with this approach. Chapter Four discusses in depth the dynamic programming approach. Chapter Five provides a solution to the N-Queens problem utilizing a backtracking approach. Chapter Six elucidates the reader to branch and bound techniques and provides three solutions to problems implementing them. Part II of this book begins with Chapter Seven, where two different approaches to the analysis of algorithms are discussed. Chapter Eight reviews randomized algorithms through an empirical lens. Chapter Nine discusses Master Theorem and the many kinds of problems this Theorem can solve. Chapter Ten, the final chapter, provides notes on the empirical complexity analysis of algorithms.
Instructor S Guide For Introduction To Pascal And Structured Design Second Edition
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Author : Nell B. Dale
language : en
Publisher: Houghton Mifflin
Release Date : 1987
Instructor S Guide For Introduction To Pascal And Structured Design Second Edition written by Nell B. Dale and has been published by Houghton Mifflin this book supported file pdf, txt, epub, kindle and other format this book has been release on 1987 with Computers categories.
The Art Of Algorithm Design
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Author : Sachi Nandan Mohanty
language : en
Publisher: CRC Press
Release Date : 2021-10-14
The Art Of Algorithm Design written by Sachi Nandan Mohanty and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-14 with Computers categories.
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.