Mathematical Aspects of Computer and Information Sciences

Mathematical Aspects of Computer and Information Sciences
Author: Johannes Blömer
Publisher: Springer
Total Pages: 466
Release: 2017-12-20
Genre: Computers
ISBN: 3319724533

This book constitutes the refereed proceedings of the 7th International Conference on Mathematical Aspects of Computer and Information Sciences, MACIS 2017, held in Vienna, Austria, in November 2017. The 28 revised papers and 8 short papers presented were carefully reviewed and selected from 67 submissions. The papers are organized in the following topical sections: foundation of algorithms in mathematics, engineering and scientific computation; combinatorics and codes in computer science; data modeling and analysis; and mathematical aspects of information security and cryptography.

Mathematics for Computer Science

Mathematics for Computer Science
Author: Eric Lehman
Publisher:
Total Pages: 988
Release: 2017-03-08
Genre: Business & Economics
ISBN: 9789888407064

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.

Mathematical Aspects of Computer and Information Sciences

Mathematical Aspects of Computer and Information Sciences
Author: Daniel Slamanig
Publisher: Springer Nature
Total Pages: 469
Release: 2020-03-18
Genre: Computers
ISBN: 3030431207

This book constitutes the refereed proceedings of the 8th International Conference on Mathematical Aspects of Computer and Information Sciences, MACIS 2019, held in Gebze, Turkey, in November 2019. The 22 revised papers and 14 short papers presented were carefully reviewed and selected from 66 submissions. The papers are organized in the following topical sections: algorithms and foundation; security and cryptography; combinatorics, codes, designs and graphs; data modeling and machine learning; tools and software track.

Combinatorics for Computer Science

Combinatorics for Computer Science
Author: Stanley Gill Williamson
Publisher: Courier Corporation
Total Pages: 548
Release: 2002-01-01
Genre: Mathematics
ISBN: 9780486420769

Useful guide covers two major subdivisions of combinatorics — enumeration and graph theory — with emphasis on conceptual needs of computer science. Each part is divided into a "basic concepts" chapter emphasizing intuitive needs of the subject, followed by four "topics" chapters that explore these ideas in depth. Invaluable practical resource for graduate students, advanced undergraduates, and professionals with an interest in algorithm design and other aspects of computer science and combinatorics. References for Linear Order & for Graphs, Trees, and Recursions. 219 figures.

Mathematical Foundation of Computer Science

Mathematical Foundation of Computer Science
Author: Y. N. Singh
Publisher: New Age International
Total Pages: 24
Release: 2005
Genre: Mathematics
ISBN: 8122416675

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
Author: Bhavanari Satyanarayana
Publisher: CRC Press
Total Pages: 366
Release: 2019-08-29
Genre: Mathematics
ISBN: 1000702715

Please note: Taylor & Francis does not sell or distribute the Hardback in India, Pakistan, Nepal, Bhutan, Bangladesh and Sri Lanka

Discrete Mathematics for Computer Scientists

Discrete Mathematics for Computer Scientists
Author: Clifford Stein
Publisher:
Total Pages: 525
Release: 2011
Genre: Computer science
ISBN: 9780131377103

Stein/Drysdale/Bogart's Discrete Mathematics for Computer Scientists is ideal for computer science students taking the discrete math course. Written specifically for computer science students, this unique textbook directly addresses their needs by providing a foundation in discrete math while using motivating, relevant CS applications. This text takes an active-learning approach where activities are presented as exercises and the material is then fleshed out through explanations and extensions of the exercises.

Mathematical Foundations of Computer Science

Mathematical Foundations of Computer Science
Author: Peter A. Fejer
Publisher: Springer Science & Business Media
Total Pages: 433
Release: 2012-12-06
Genre: Mathematics
ISBN: 1461230861

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 Computing

Mathematical Computing
Author: David Betounes
Publisher: Springer Science & Business Media
Total Pages: 419
Release: 2012-12-06
Genre: Computers
ISBN: 1461300673

This book teaches introductory computer programming using Maple, offering more mathematically oriented exercises and problems than those found in traditional programming courses, while reinforcing and applying concepts and techniques of calculus. Includes case studies.