Some books on algorithms are rigorous but incomplete; others cover masses of material but lack rigor. Introduction to Algorithms uniquely combines rigor and comprehensiveness. It covers a broad range of algorithms in depth, yet makes their design and analysis accessible to all levels of readers, with self-contained chapters and algorithms in pseudocode. Since the publication of the first edition, Introduction to Algorithms has become the leading algorithms text in universities worldwide as well as the standard reference for professionals. This fourth edition has been updated throughout. Thomas H. Cormen is Emeritus Professor of Computer Science at Dartmouth College. Charles E. Leiserson is Edwin Sibley Webster Professor in Electrical Engineering and Computer Science at MIT. Ronald L. Rives.
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Author:Brookshear, J. Glenn. Glenn Brookshear draws on years of success in the classroom in this practical, language-independent approach to the introduction of core computing science topics. This Ninth Edition provides a balanced, realistic picture of the dynamic nature of computer science by presenting the historical background and the most up-to-date research and trends.
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Cambridge IGCSE™ and O Level Computer Science Programming Book for Java with Digital Access (2 Years) (Cambridge International IGCSE). Title: Cambridge IGCSE™ and O Level Computer Science Programming Book for Java with Digital Access (2 Years) (Cambridge International IGCSE).
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Books will be free of page markings. Will be clean, not soiled or stained.
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Title: Algorithms to Live By: The Computer Science of Human Decisions Item Condition: used item in a good condition. Author: Brian Christian, Tom Griffiths ISBN 10: 0007547994. Books will be free of page markings.
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TITLE: A/AS Level Computer Science for WJEC/Eduqas Student Book (A Level Comp 2 Computer Science WJEC/Eduqas). PUBLISHER: Cambridge University Press. AUTHOR: Hamflett, Adam,Surrall, Alistair,Thomas, Mark.
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The classic book on systems thinking, with more than half a million copies sold worldwide! This is a fabulous book. This book opened my mind and reshaped the way I think about investing. Forbes Perfect for fans of Kate Raworth, Rutger Bregman and Daniel Kahneman!
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Courses and books on basic statistics rarely cover the topic from a data science perspective. Why exploratory data analysis is a key preliminary step in data science. How random sampling can reduce bias and yield a higher-quality dataset, even with big data.
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