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Titlebook: Fundamentals of Discrete Math for Computer Science; A Problem-Solving Pr Tom Jenkyns,Ben Stephenson Textbook 2018Latest edition The Editor(

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書目名稱Fundamentals of Discrete Math for Computer Science
副標(biāo)題A Problem-Solving Pr
編輯Tom Jenkyns,Ben Stephenson
視頻videohttp://file.papertrans.cn/351/350262/350262.mp4
概述Updated and enhanced new edition with additional material on directed graphs, and on drawing and coloring graphs, as well as more than 100 new exercises (with solutions).Highly accessible and easy to
叢書名稱Undergraduate Topics in Computer Science
圖書封面Titlebook: Fundamentals of Discrete Math for Computer Science; A Problem-Solving Pr Tom Jenkyns,Ben Stephenson Textbook 2018Latest edition The Editor(
描述.This clearly written textbook presents an accessible introduction to discrete mathematics for computer science students, offering the reader an enjoyable and stimulating path to improve their programming competence. The text empowers students to think critically, to be effective problem solvers, to integrate theory and practice, and to recognize the importance of abstraction. Its motivational and interactive style provokes a conversation with the reader through a questioning commentary, and supplies detailed walkthroughs of several algorithms..This updated and enhanced new edition also includes new material on directed graphs, and on drawing and coloring graphs, in addition to more than 100 new exercises (with solutions to selected exercises)..Topics and features: assumes no prior mathematical knowledge, and discusses concepts in programming as and when they are needed; designed for both classroom use and self-study, presenting modular and self-contained chapters that follow ACM curriculum recommendations; describes mathematical processes in an algorithmic manner, often supported by a walkthrough demonstrating how the algorithm performs the desired task; includes an extensive set
出版日期Textbook 2018Latest edition
關(guān)鍵詞Analysis of Algorithms; Complexity Analysis; Discrete Mathematics; Proof of Correctness; Graph Theory; al
版次2
doihttps://doi.org/10.1007/978-3-319-70151-6
isbn_softcover978-3-319-70150-9
isbn_ebook978-3-319-70151-6Series ISSN 1863-7310 Series E-ISSN 2197-1781
issn_series 1863-7310
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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