Algorithmic Efficiency A Complete Guide - 2020 Edition

Algorithmic Efficiency A Complete Guide - 2020 Edition
Author: Gerardus Blokdyk
Publisher: 5starcooks
Total Pages: 308
Release: 2020-02-20
Genre:
ISBN: 9781867333487

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How is change control managed? What qualifications are needed? Where can you go to verify the info? What evidence is there and what is measured? If your company went out of business tomorrow, would anyone who doesn't get a paycheck here care? This breakthrough Algorithmic Efficiency self-assessment will make you the established Algorithmic Efficiency domain auditor by revealing just what you need to know to be fluent and ready for any Algorithmic Efficiency challenge. How do I reduce the effort in the Algorithmic Efficiency work to be done to get problems solved? How can I ensure that plans of action include every Algorithmic Efficiency task and that every Algorithmic Efficiency outcome is in place? How will I save time investigating strategic and tactical options and ensuring Algorithmic Efficiency costs are low? How can I deliver tailored Algorithmic Efficiency 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 Algorithmic Efficiency essentials are covered, from every angle: the Algorithmic Efficiency self-assessment shows succinctly and clearly that what needs to be clarified to organize the required activities and processes so that Algorithmic Efficiency outcomes are achieved. Contains extensive criteria grounded in past and current successful projects and activities by experienced Algorithmic Efficiency 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 Algorithmic Efficiency are maximized with professional results. Your purchase includes access details to the Algorithmic Efficiency 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 Algorithmic Efficiency 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.

The Algorithm Design Manual

The Algorithm Design Manual
Author: Steven S Skiena
Publisher: Springer Science & Business Media
Total Pages: 742
Release: 2009-04-05
Genre: Computers
ISBN: 1848000707

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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 A Complete Guide - 2020 Edition

Algorithm Design A Complete Guide - 2020 Edition
Author: Gerardus Blokdyk
Publisher: 5starcooks
Total Pages: 302
Release: 2020-01-19
Genre:
ISBN: 9781867310082

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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.

Introduction to Algorithms

Introduction to Algorithms
Author: Cuantum Technologies LLC
Publisher: Packt Publishing Ltd
Total Pages: 294
Release: 2024-06-14
Genre: Computers
ISBN: 1836203861

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Discover the fundamentals and advanced concepts of algorithms with this comprehensive course. Learn about efficiency, types, design techniques, and real-world applications, and enhance your algorithmic knowledge. Key Features Basics to advanced algorithm design and applications, along with real-world applications Engaging exercises & case studies from the latest industry trends & practices for reinforcement Clear, step-by-step instructions for complex and advanced topics Book DescriptionBegin your journey into the fascinating world of algorithms with this comprehensive course. Starting with an introduction to the basics, you will learn about pseudocode and flowcharts, the fundamental tools for representing algorithms. As you progress, you'll delve into the efficiency of algorithms, understanding how to evaluate and optimize them for better performance. The course will also cover various basic algorithm types, providing a solid foundation for further exploration. You will explore specific categories of algorithms, including search and sort algorithms, which are crucial for managing and retrieving data efficiently. You will also learn about graph algorithms, which are essential for solving problems related to networks and relationships. Additionally, the course will introduce you to the data structures commonly used in algorithms. Towards the end, the focus shifts to algorithm design techniques and their real-world applications. You will discover various strategies for creating efficient and effective algorithms and see how these techniques are applied in real-world scenarios. By the end of the course, you will have a thorough understanding of algorithmic principles and be equipped with the skills to apply them in your technical career.What you will learn Understand the basics of algorithms and their significance Evaluate the efficiency of different algorithms Apply various types of algorithms to solve complex problems Utilize graph algorithms for network-related issues Implement appropriate data structures for algorithm optimization Design efficient algorithms for real-world applications Who this book is for This course is designed for a wide range of learners, including technical professionals looking to enhance their algorithmic knowledge, computer science students seeking a deeper understanding of algorithm principles, and software developers aiming to improve their coding efficiency. Additionally, it is suitable for data scientists and analysts who need to apply algorithms to data management and analysis tasks, educators looking for comprehensive teaching material on algorithms, and hobbyists interested in expanding their technical skill set.

A Common-Sense Guide to Data Structures and Algorithms, Second Edition

A Common-Sense Guide to Data Structures and Algorithms, Second Edition
Author: Jay Wengrow
Publisher: Pragmatic Bookshelf
Total Pages: 714
Release: 2020-08-10
Genre: Computers
ISBN: 1680508059

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Algorithms and data structures are much more than abstract concepts. Mastering them enables you to write code that runs faster and more efficiently, which is particularly important for today’s web and mobile apps. Take a practical approach to data structures and algorithms, with techniques and real-world scenarios that you can use in your daily production code, with examples in JavaScript, Python, and Ruby. This new and revised second edition features new chapters on recursion, dynamic programming, and using Big O in your daily work. Use Big O notation to measure and articulate the efficiency of your code, and modify your algorithm to make it faster. Find out how your choice of arrays, linked lists, and hash tables can dramatically affect the code you write. Use recursion to solve tricky problems and create algorithms that run exponentially faster than the alternatives. Dig into advanced data structures such as binary trees and graphs to help scale specialized applications such as social networks and mapping software. You’ll even encounter a single keyword that can give your code a turbo boost. Practice your new skills with exercises in every chapter, along with detailed solutions. Use these techniques today to make your code faster and more scalable.

Algorithmic Thinking

Algorithmic Thinking
Author: Daniel Zingaro
Publisher: No Starch Press
Total Pages: 409
Release: 2020-12-15
Genre: Computers
ISBN: 1718500807

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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 Ethical Algorithm

The Ethical Algorithm
Author: Michael Kearns
Publisher: Oxford University Press
Total Pages: 288
Release: 2019-10-04
Genre: Computers
ISBN: 0190948221

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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.

A Guide to Algorithm Design

A Guide to Algorithm Design
Author: Anne Benoit
Publisher: CRC Press
Total Pages: 0
Release: 2013-08-27
Genre: Computers
ISBN: 9781439825648

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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.

Programming Challenges

Programming Challenges
Author: Steven S Skiena
Publisher: Springer Science & Business Media
Total Pages: 376
Release: 2006-04-18
Genre: Computers
ISBN: 038722081X

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There are many distinct pleasures associated with computer programming. Craftsmanship has its quiet rewards, the satisfaction that comes from building a useful object and making it work. Excitement arrives with the flash of insight that cracks a previously intractable problem. The spiritual quest for elegance can turn the hacker into an artist. There are pleasures in parsimony, in squeezing the last drop of performance out of clever algorithms and tight coding. The games, puzzles, and challenges of problems from international programming competitions are a great way to experience these pleasures while improving your algorithmic and coding skills. This book contains over 100 problems that have appeared in previous programming contests, along with discussions of the theory and ideas necessary to attack them. Instant online grading for all of these problems is available from two WWW robot judging sites. Combining this book with a judge gives an exciting new way to challenge and improve your programming skills. This book can be used for self-study, for teaching innovative courses in algorithms and programming, and in training for international competition. The problems in this book have been selected from over 1,000 programming problems at the Universidad de Valladolid online judge. The judge has ruled on well over one million submissions from 27,000 registered users around the world to date. We have taken only the best of the best, the most fun, exciting, and interesting problems available.