Accessible, no-nonsense, and programming language-agnostic introduction to algorithms. Includes solutions to all quizzes and selected problems, and a series of YouTube videos by the author accompanies the book. Part 1 covers asymptotic analysis and big-O notation, divide-and-conquer algorithms and the master method, randomized algorithms, and several famous algorithms for sorting and selection.
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Tim Roughgarden is a Professor of Computer Science and (by courtesy) Management Science and Engineering at Stanford University, where he has taught and researched algorithms since 2004. This book is the first of a four-part series based on his online algorithms courses that have been running regularly since 2012.
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Librería: World of Books (was SecondSale), Montgomery, IL, Estados Unidos de America
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Librería: World of Books (was SecondSale), Montgomery, IL, Estados Unidos de America
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Librería: World of Books Inc, Montgomery, IL, Estados Unidos de America
Paperback. Condición: Good. Algorithms are the heart and soul of computer science. Their applications range from network routing and computational genomics to public-key cryptography and machine learning. Studying algorithms can make you a better programmer, a clearer thinker, and a master of technical interviews. Algorithms Illuminated is an accessible introduction to the subject for anyone with at least a little programming experience. The exposition emphasizes the big picture and conceptual understanding over low-level implementation and mathematical details---like a transcript of what an expert algorithms tutor would say over a series of one-on-one lessons. Part 1 covers asymptotic analysis and big-O notation, divide-and-conquer algorithms and the master method, randomized algorithms, and several famous algorithms for sorting and selection. Nº de ref. del artículo: CIN0999282905G
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Librería: Better World Books, Mishawaka, IN, Estados Unidos de America
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Librería: ThriftBooks-Dallas, Dallas, TX, Estados Unidos de America
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