Mathematical Foundations Of Computer Science
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Author | : Y. N. Singh |
Publisher | : New Age International |
Total Pages | : 24 |
Release | : 2005 |
Genre | : Mathematics |
ISBN | : 8122416675 |
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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.
Author | : Bhavanari Satyanarayana |
Publisher | : CRC Press |
Total Pages | : 268 |
Release | : 2019-08-29 |
Genre | : Mathematics |
ISBN | : 1000702715 |
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Please note: Taylor & Francis does not sell or distribute the Hardback in India, Pakistan, Nepal, Bhutan, Bangladesh and Sri Lanka
Author | : Srinivasan Keshav |
Publisher | : Pearson Education |
Total Pages | : 496 |
Release | : 2012 |
Genre | : Computers |
ISBN | : 0321792106 |
Download Mathematical Foundations of Computer Networking Book in PDF, Epub and Kindle
Mathematical techniques pervade current research in computer networking, yet are not taught to most computer science undergraduates. This self-contained, highly-accessible book bridges the gap, providing the mathematical grounding students and professionals need to successfully design or evaluate networking systems. The only book of its kind, it brings together information previously scattered amongst multiple texts. It first provides crucial background in basic mathematical tools, and then illuminates the specific theories that underlie computer networking. Coverage includes: * Basic probability * Statistics * Linear Algebra * Optimization * Signals, Systems, and Transforms, including Fourier series and transforms, Laplace transforms, DFT, FFT, and Z transforms * Queuing theory * Game Theory * Control theory * Information theory
Author | : Andrzej Blikle |
Publisher | : Springer |
Total Pages | : 512 |
Release | : 1975 |
Genre | : Computers |
ISBN | : |
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Author | : Alfred V. Aho |
Publisher | : W. H. Freeman |
Total Pages | : 786 |
Release | : 1994-10-15 |
Genre | : Computers |
ISBN | : 9780716782841 |
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Author | : Ronald L. Graham |
Publisher | : Addison-Wesley Professional |
Total Pages | : 811 |
Release | : 1994-02-28 |
Genre | : Computers |
ISBN | : 0134389980 |
Download Concrete Mathematics Book in PDF, Epub and Kindle
This book introduces the mathematics that supports advanced computer programming and the analysis of algorithms. The primary aim of its well-known authors is to provide a solid and relevant base of mathematical skills - the skills needed to solve complex problems, to evaluate horrendous sums, and to discover subtle patterns in data. It is an indispensable text and reference not only for computer scientists - the authors themselves rely heavily on it! - but for serious users of mathematics in virtually every discipline. Concrete Mathematics is a blending of CONtinuous and disCRETE mathematics. "More concretely," the authors explain, "it is the controlled manipulation of mathematical formulas, using a collection of techniques for solving problems." The subject matter is primarily an expansion of the Mathematical Preliminaries section in Knuth's classic Art of Computer Programming, but the style of presentation is more leisurely, and individual topics are covered more deeply. Several new topics have been added, and the most significant ideas have been traced to their historical roots. The book includes more than 500 exercises, divided into six categories. Complete answers are provided for all exercises, except research problems, making the book particularly valuable for self-study. Major topics include: Sums Recurrences Integer functions Elementary number theory Binomial coefficients Generating functions Discrete probability Asymptotic methods This second edition includes important new material about mechanical summation. In response to the widespread use of the first edition as a reference book, the bibliography and index have also been expanded, and additional nontrivial improvements can be found on almost every page. Readers will appreciate the informal style of Concrete Mathematics. Particularly enjoyable are the marginal graffiti contributed by students who have taken courses based on this material. The authors want to convey not only the importance of the techniques presented, but some of the fun in learning and using them.
Author | : G. Shanker Rao |
Publisher | : I. K. International Pvt Ltd |
Total Pages | : 450 |
Release | : 2006 |
Genre | : Computer science |
ISBN | : 8188237493 |
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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
Author | : Eric Lehman |
Publisher | : |
Total Pages | : 988 |
Release | : 2017-03-08 |
Genre | : Business & Economics |
ISBN | : 9789888407064 |
Download Mathematics for Computer Science Book in PDF, Epub and Kindle
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.
Author | : Stanley Gill Williamson |
Publisher | : Courier Corporation |
Total Pages | : 548 |
Release | : 2002-01-01 |
Genre | : Mathematics |
ISBN | : 9780486420769 |
Download Combinatorics for Computer Science Book in PDF, Epub and Kindle
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.
Author | : Frank Emmert-Streib |
Publisher | : Walter de Gruyter GmbH & Co KG |
Total Pages | : 444 |
Release | : 2022-10-24 |
Genre | : Computers |
ISBN | : 3110796171 |
Download Mathematical Foundations of Data Science Using R Book in PDF, Epub and Kindle
The aim of the book is to help students become data scientists. Since this requires a series of courses over a considerable period of time, the book intends to accompany students from the beginning to an advanced understanding of the knowledge and skills that define a modern data scientist. The book presents a comprehensive overview of the mathematical foundations of the programming language R and of its applications to data science.