Louridas Panos - Algorithms - PaperbackBinding: Paperback Description: An accessible introduction to algorithms explaining not just what they are but how they work with examples from a wide range of application areas. Digital technology runs on algorithms sets of instructions that describe how to do something efficiently. Application areas range from search engines to tournament scheduling DN a sequencing and machine learning. Arguing that every educated person today needs to have some
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Binding: Paperback
Description: An accessible introduction to algorithms explaining not just what they are but how they work with examples from a wide range of application areas. Digital technology runs on algorithms sets of instructions that describe how to do something efficiently. Application areas range from search engines to tournament scheduling DN a 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. After discussing what an algorithm does and how its effectiveness can be measured Louridas covers three of the most fundamental applications areas: graphs which describe networks from eighteenth - century problems to today's social networks; searching and how to find the fastest way to search; and sorting and the importance of choosing the best algorithm for particular tasks. He then presents larger - scale applications: Page Rank Google's founding algorithm; and neural networks and deep learning. Finally Louridas describes how all algorithms are nothing more than simple moves with pen and paper and how from such a humble foundation rise all their spectacular achievements.
Title: Algorithms
Author(s): Louridas Panos
Publisher: Mit Press Ltd
Barcode: 9780262539029
Pages: 424 Pages
Publication Date: 8/18/2020
Category: Algorithms & Data Structures