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Mathematical Foundations Of Computer Science 2012


Mathematical Foundations Of Computer Science 2012
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Mathematical Foundations Of Computer Science


Mathematical Foundations Of Computer Science
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Author : SHAHNAZ BATHUL
language : en
Publisher: PHI Learning Pvt. Ltd.
Release Date : 2010-07-01

Mathematical Foundations Of Computer Science written by SHAHNAZ BATHUL and has been published by PHI Learning Pvt. Ltd. this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-07-01 with Computer science categories.


This book provides the basic concepts and applications of discrete mathematics and graph theory. The book is aimed at undergraduate students of Computer Science and Engineering, and Information Technology. It is also suitable for undergraduate and postgraduate students of Computer Science, Mathematics and Computer Applications. The book exposes the students to fundamental knowledge in : Mathematical logic, tautology and normal forms Predicate logic, rules of inference and validity of arguments Elementary set theory, Venn diagrams, functions and their relations Algebraic structure, binary operation, group theory and homomorphism Theory of permutations and combinations, binomial and multinomial theorems Recurrence relations and methods of solving them Graph theory, spanning tree, Eulerian and Hamiltonian circuits and isomorphism



Mathematical Foundations Of Computer Science 2012


Mathematical Foundations Of Computer Science 2012
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Author : Branislav Rovan
language : en
Publisher: Springer
Release Date : 2012-08-01

Mathematical Foundations Of Computer Science 2012 written by Branislav Rovan and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-08-01 with Computers categories.


This volume constitutes the refereed proceedings of the 37th International Symposium on Mathematical Foundations of Computer Science, MFCS 2012, held in Bratislava, Slovakia, in August 2012. The 63 revised full papers presented together with 8 invited talks were carefully reviewed and selected from 162 submissions. Topics covered include algorithmic game theory, algorithmic learning theory, algorithms and data structures, automata, formal languages, bioinformatics, complexity, computational geometry, computer-assisted reasoning, concurrency theory, databases and knowledge-based systems, foundations of computing, logic in computer science, models of computation, semantics and verification of programs, and theoretical issues in artificial intelligence.



Mathematical Foundation Of Computer Science


Mathematical Foundation Of Computer Science
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Author : J. Rajendra Prasad
language : en
Publisher: Laxmi Publications
Release Date : 2009

Mathematical Foundation Of Computer Science written by J. Rajendra Prasad and has been published by Laxmi Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with Computer science categories.




Mathematical Foundation Of Computer Science


Mathematical Foundation Of Computer Science
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Author : Y. N. Singh
language : en
Publisher: New Age International
Release Date : 2005

Mathematical Foundation Of Computer Science written by Y. N. Singh and has been published by New Age International this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Mathematics categories.


The Interesting Feature Of This Book Is Its Organization And Structure. That Consists Of Systematizing Of The Definitions, Methods, And Results That Something Resembling A Theory. Simplicity, Clarity, And Precision Of Mathematical Language Makes Theoretical Topics More Appealing To The Readers Who Are Of Mathematical Or Non-Mathematical Background. For Quick References And Immediate Attentions3⁄4Concepts And Definitions, Methods And Theorems, And Key Notes Are Presented Through Highlighted Points From Beginning To End. Whenever, Necessary And Probable A Visual Approach Of Presentation Is Used. The Amalgamation Of Text And Figures Make Mathematical Rigors Easier To Understand. Each Chapter Begins With The Detailed Contents, Which Are Discussed Inside The Chapter And Conclude With A Summary Of The Material Covered In The Chapter. Summary Provides A Brief Overview Of All The Topics Covered In The Chapter. To Demonstrate The Principles Better, The Applicability Of The Concepts Discussed In Each Topic Are Illustrated By Several Examples Followed By The Practice Sets Or Exercises.



Mathematical Foundations Of Computer Science


Mathematical Foundations Of Computer Science
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Author : G. Shanker Rao
language : en
Publisher: I. K. International Pvt Ltd
Release Date : 2006

Mathematical Foundations Of Computer Science written by G. Shanker Rao and has been published by I. K. International Pvt Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with Computer science categories.


Mathematical Foundations of Computer Science explains the fundamental concepts in mathematics. It can be used by the students in computer science as an introduction to the underlying ideas of mathematics for computer science. It explains topics like mathematical logic, predicates, relations, functions, combinatorics, algebraic structures and graph theory. It would be useful for the students of B.Tech, BCA, & MCA. Key Features: " Comprehensive discussion on logic, function, algebraic systems, recurrence relations and graph theory " Wide variety of exercises at all levels " Several worked out examples



Mathematical Foundations Of Computer Science


Mathematical Foundations Of Computer Science
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Author : Peter A. Fejer
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06

Mathematical Foundations Of Computer Science written by Peter A. Fejer and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Mathematics categories.


Mathematical Foundations of Computer Science, Volume I is the first of two volumes presenting topics from mathematics (mostly discrete mathematics) which have proven relevant and useful to computer science. This volume treats basic topics, mostly of a set-theoretical nature (sets, functions and relations, partially ordered sets, induction, enumerability, and diagonalization) and illustrates the usefulness of mathematical ideas by presenting applications to computer science. Readers will find useful applications in algorithms, databases, semantics of programming languages, formal languages, theory of computation, and program verification. The material is treated in a straightforward, systematic, and rigorous manner. The volume is organized by mathematical area, making the material easily accessible to the upper-undergraduate students in mathematics as well as in computer science and each chapter contains a large number of exercises. The volume can be used as a textbook, but it will also be useful to researchers and professionals who want a thorough presentation of the mathematical tools they need in a single source. In addition, the book can be used effectively as supplementary reading material in computer science courses, particularly those courses which involve the semantics of programming languages, formal languages and automata, and logic programming.



Mathematical Foundations Of Computer Science


Mathematical Foundations Of Computer Science
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Author : Bhavanari Satyanarayana
language : en
Publisher: CRC Press
Release Date : 2019-08-29

Mathematical Foundations Of Computer Science written by Bhavanari Satyanarayana and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-08-29 with Computers categories.


This book presents topics from mathematics which are relevant and useful to computer science. This book treats basic topics such as number theory, set theory, functions etc. in a simple way. Each chapter has been planned as independent unit so that various interrelated topics can also be read independently. Ample amount of examples and problems are given at the end of each chapter to help both the students and researchers. Hints and answers are also given for the problems in the exercise to help the students for self-learning. Please note: Taylor & Francis does not sell or distribute the Hardback in India, Pakistan, Nepal, Bhutan, Bangladesh and Sri Lanka



Foundation Mathematics For Computer Science


Foundation Mathematics For Computer Science
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Author : John Vince
language : en
Publisher: Springer Nature
Release Date : 2020-03-17

Foundation Mathematics For Computer Science written by John Vince and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-03-17 with Computers categories.


In this second edition of Foundation Mathematics for Computer Science, John Vince has reviewed and edited the original book and written new chapters on combinatorics, probability, modular arithmetic and complex numbers. These subjects complement the existing chapters on number systems, algebra, logic, trigonometry, coordinate systems, determinants, vectors, matrices, geometric matrix transforms, differential and integral calculus. During this journey, the author touches upon more esoteric topics such as quaternions, octonions, Grassmann algebra, Barrycentric coordinates, transfinite sets and prime numbers. John Vince describes a range of mathematical topics to provide a solid foundation for an undergraduate course in computer science, starting with a review of number systems and their relevance to digital computers, and finishing with differential and integral calculus. Readers will find that the author’s visual approach will greatly improve their understanding as to why certain mathematical structures exist, together with how they are used in real-world applications. This second edition includes new, full-colour illustrations to clarify the mathematical descriptions, and in some cases, equations are also coloured to reveal vital algebraic patterns. The numerous worked examples will help consolidate the understanding of abstract mathematical concepts. Whether you intend to pursue a career in programming, scientific visualisation, artificial intelligence, systems design, or real-time computing, you should find the author’s literary style refreshingly lucid and engaging, and prepare you for more advanced texts.



Mathematical Foundations Of Computer Science


Mathematical Foundations Of Computer Science
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Author : Peter A Fejer
language : en
Publisher:
Release Date : 1990-12-05

Mathematical Foundations Of Computer Science written by Peter A Fejer and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1990-12-05 with Computer science categories.




Mathematical Foundations Of Computer Science 2011


Mathematical Foundations Of Computer Science 2011
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Author : Filip Murlak
language : en
Publisher: Springer
Release Date : 2011-08-09

Mathematical Foundations Of Computer Science 2011 written by Filip Murlak and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-08-09 with Computers categories.


This volume constitutes the refereed proceedings of the 36th International Symposium on Mathematical Foundations of Computer Science, MFCS 2011, held in Warsaw, Poland, in August 2011. The 48 revised full papers presented together with 6 invited talks were carefully reviewed and selected from 129 submissions. Topics covered include algorithmic game theory, algorithmic learning theory, algorithms and data structures, automata, grammars and formal languages, bioinformatics, complexity, computational geometry, computer-assisted reasoning, concurrency theory, cryptography and security, databases and knowledge-based systems, formal specifications and program development, foundations of computing, logic in computer science, mobile computing, models of computation, networks, parallel and distributed computing, quantum computing, semantics and verification of programs, and theoretical issues in artificial intelligence.