|1.||Mathematics for Computer ScienceTags:Mathematics Computer ScienceAbstract:
This book covers elementary discrete mathematics for computer science and engineering. It emphasizes mathematical definitions and proofs as well as applicable methods. Topics include formal logic notation, proof methods; induction, well-ordering; sets, relations; elementary graph theory; integer congruences; asymptotic notation and growth of functions; permutations and combinations, counting principles; discrete probability. Further selected topics may also be covered, such as recursive definition and structural induction; state machines and invariants; recurrences; generating functions.
|Eric Lehman Thomson Leighton Albert MeyerSimilar SearchMathematics for Computer Science by Eric Lehman Thomson Leighton Albert MeyerMathematics for Computer Science pdf DownloadDownload Mathematics for Computer Science pdf||[Download]|
|2.||Grammars and Automata for String Processing. From Mathematics and Computer Science to Biology and back. Essays in honour of Gheorge PaunTags:Abstract:||Carlos Martín-Vide Victor Mitrana (eds.)Similar SearchGrammars and Automata for String Processing. From Mathematics and Computer Science to Biology and back. Essays in honour of Gheorge Paun by Carlos Martín-Vide Victor Mitrana (eds.)Grammars and Automata for String Processing. From Mathematics and Computer Science to Biology and back. Essays in honour of Gheorge Paun pdf DownloadDownload Grammars and Automata for String Processing. From Mathematics and Computer Science to Biology and back. Essays in honour of Gheorge Paun pdf||[Download]|
|3.||Discrete Mathematics for Computer ScienceTags:Mathematics Discrete ScienceAbstract:Written exclusively with computer science students in mind, Discrete Mathematics for Computer Science provides a comprehensive treatment of standard course topics for the introductory discrete mathematics course with a strong emphasis on the relationship between the concepts and their application to computer science. The book has been crafted to enhance teaching and learning ease and includes a wide selection of exercises, detailed exploration problems, examples and problems inspired by wide-ranging applications of computer science and handy quick reference guides for key technical topics throughout. Discrete Mathematics for Computer Science provides a lucidly written introduction to discrete mathematics with abundant support for learning, including over 450 examples, thorough chapter summaries, simple quizzes, and approximately 1600 homework exercises of widely varying difficulty.
Each chapter begins with motivational content that relates the chapter topic to computer science practice and the book also includes over fifty "Computer Science Connections" which discuss applications to computer science such as Rotation Matrices; Game Trees, Logic, and Winning Tic-Tac(-Toe); Moore's Law; Secret Sharing; The Enigma Machine and the First Computer; Bayesian Modeling and Spam Filtering; and Quantum Computing.
David Liben-Nowell (PhD from MIT) is a Professor and Chair of Computer Science at Carleton College. His research interests are focused on computational social sciences, particularly the structure and evolution of social networks and computational modeling of spoken-word recognition.
|David Liben-NowellSimilar SearchDiscrete Mathematics for Computer Science by David Liben-NowellDiscrete Mathematics for Computer Science pdf DownloadDownload Discrete Mathematics for Computer Science pdf||[Download]|
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