Foundations of Computer Science

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Publisher : W. H. Freeman
ISBN 13 : 9780716782841
Total Pages : 786 pages
Book Rating : 4.47/5 ( download)

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Book Synopsis Foundations of Computer Science by : Alfred V. Aho

Download or read book Foundations of Computer Science written by Alfred V. Aho and published by W. H. Freeman. This book was released on 1994-10-15 with total page 786 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Foundations of Computer Science

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Publisher :
ISBN 13 : 9781408031162
Total Pages : pages
Book Rating : 4.67/5 ( download)

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Book Synopsis Foundations of Computer Science by : Behrouz A. Forouzan

Download or read book Foundations of Computer Science written by Behrouz A. Forouzan and published by . This book was released on 2008 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Mathematical Foundations of Computer Science

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Publisher : Springer Science & Business Media
ISBN 13 : 1461230861
Total Pages : 433 pages
Book Rating : 4.61/5 ( download)

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Book Synopsis Mathematical Foundations of Computer Science by : Peter A. Fejer

Download or read book Mathematical Foundations of Computer Science written by Peter A. Fejer and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 433 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Basic Category Theory for Computer Scientists

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Publisher : MIT Press
ISBN 13 : 0262326450
Total Pages : 117 pages
Book Rating : 4.52/5 ( download)

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Book Synopsis Basic Category Theory for Computer Scientists by : Benjamin C. Pierce

Download or read book Basic Category Theory for Computer Scientists written by Benjamin C. Pierce and published by MIT Press. This book was released on 1991-08-07 with total page 117 pages. Available in PDF, EPUB and Kindle. Book excerpt: Basic Category Theory for Computer Scientists provides a straightforward presentation of the basic constructions and terminology of category theory, including limits, functors, natural transformations, adjoints, and cartesian closed categories. Category theory is a branch of pure mathematics that is becoming an increasingly important tool in theoretical computer science, especially in programming language semantics, domain theory, and concurrency, where it is already a standard language of discourse. Assuming a minimum of mathematical preparation, Basic Category Theory for Computer Scientists provides a straightforward presentation of the basic constructions and terminology of category theory, including limits, functors, natural transformations, adjoints, and cartesian closed categories. Four case studies illustrate applications of category theory to programming language design, semantics, and the solution of recursive domain equations. A brief literature survey offers suggestions for further study in more advanced texts. Contents Tutorial • Applications • Further Reading

Foundations for Programming Languages

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Publisher : Mit Press
ISBN 13 : 9780262133210
Total Pages : 846 pages
Book Rating : 4.10/5 ( download)

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Book Synopsis Foundations for Programming Languages by : John C. Mitchell

Download or read book Foundations for Programming Languages written by John C. Mitchell and published by Mit Press. This book was released on 1996 with total page 846 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Programming languages embody the pragmatics of designing software systems, and also the mathematical concepts which underlie them. Anyone who wants to know how, for example, object-oriented programming rests upon a firm foundation in logic should read this book. It guides one surefootedly through the rich variety of basic programming concepts developed over the past forty years." -- Robin Milner, Professor of Computer Science, The Computer Laboratory, Cambridge University "Programming languages need not be designed in an intellectual vacuum; John Mitchell's book provides an extensive analysis of the fundamental notions underlying programming constructs. A basic grasp of this material is essential for the understanding, comparative analysis, and design of programming languages." -- Luca Cardelli, Digital Equipment Corporation Written for advanced undergraduate and beginning graduate students, "Foundations for Programming Languages" uses a series of typed lambda calculi to study the axiomatic, operational, and denotational semantics of sequential programming languages. Later chapters are devoted to progressively more sophisticated type systems.

Foundations of Computer Technology

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Publisher : CRC Press
ISBN 13 : 1000153711
Total Pages : 456 pages
Book Rating : 4.12/5 ( download)

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Book Synopsis Foundations of Computer Technology by : Alexander John Anderson

Download or read book Foundations of Computer Technology written by Alexander John Anderson and published by CRC Press. This book was released on 2020-10-25 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt: Foundations of Computer Technology is an easily accessible introduction to the architecture of computers and peripherals. This textbook clearly and completely explains modern computer systems through an approach that integrates components, systems, software, and design. It provides a succinct, systematic, and readable guide to computers, providing a springboard for students to pursue more detailed technology subjects. This volume focuses on hardware elements within a computer system and the impact of software on its architecture. It discusses practical aspects of computer organization (structure, behavior, and design) delivering the necessary fundamentals for electrical engineering and computer science students. The book not only lists a wide range of terms, but also explains the basic operations of components within a system, aided by many detailed illustrations. Material on modern technologies is combined with a historical perspective, delivering a range of articles on hardware, architecture and software, programming methodologies, and the nature of operating systems. It also includes a unified treatment on the entire computing spectrum, ranging from microcomputers to supercomputers. Each section features learning objectives and chapter outlines. Small glossary entries define technical terms and each chapter ends with an alphabetical list of key terms for reference and review. Review questions also appear at the end of each chapter and project questions inspire readers to research beyond the text. Short, annotated bibliographies direct students to additional useful reading.

Mathematical Foundations of Computer Science

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Publisher : CRC Press
ISBN 13 : 1000702715
Total Pages : 268 pages
Book Rating : 4.12/5 ( download)

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Book Synopsis Mathematical Foundations of Computer Science by : Bhavanari Satyanarayana

Download or read book Mathematical Foundations of Computer Science written by Bhavanari Satyanarayana and published by CRC Press. This book was released on 2019-08-29 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: Please note: Taylor & Francis does not sell or distribute the Hardback in India, Pakistan, Nepal, Bhutan, Bangladesh and Sri Lanka

Lessons in Enumerative Combinatorics

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Publisher : Springer Nature
ISBN 13 : 3030712508
Total Pages : 479 pages
Book Rating : 4.01/5 ( download)

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Book Synopsis Lessons in Enumerative Combinatorics by : Ömer Eğecioğlu

Download or read book Lessons in Enumerative Combinatorics written by Ömer Eğecioğlu and published by Springer Nature. This book was released on 2021-05-13 with total page 479 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook introduces enumerative combinatorics through the framework of formal languages and bijections. By starting with elementary operations on words and languages, the authors paint an insightful, unified picture for readers entering the field. Numerous concrete examples and illustrative metaphors motivate the theory throughout, while the overall approach illuminates the important connections between discrete mathematics and theoretical computer science. Beginning with the basics of formal languages, the first chapter quickly establishes a common setting for modeling and counting classical combinatorial objects and constructing bijective proofs. From here, topics are modular and offer substantial flexibility when designing a course. Chapters on generating functions and partitions build further fundamental tools for enumeration and include applications such as a combinatorial proof of the Lagrange inversion formula. Connections to linear algebra emerge in chapters studying Cayley trees, determinantal formulas, and the combinatorics that lie behind the classical Cayley–Hamilton theorem. The remaining chapters range across the Inclusion-Exclusion Principle, graph theory and coloring, exponential structures, matching and distinct representatives, with each topic opening many doors to further study. Generous exercise sets complement all chapters, and miscellaneous sections explore additional applications. Lessons in Enumerative Combinatorics captures the authors' distinctive style and flair for introducing newcomers to combinatorics. The conversational yet rigorous presentation suits students in mathematics and computer science at the graduate, or advanced undergraduate level. Knowledge of single-variable calculus and the basics of discrete mathematics is assumed; familiarity with linear algebra will enhance the study of certain chapters.

Foundations of Computer Science

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Publisher : Springer Science & Business Media
ISBN 13 : 9783540637462
Total Pages : 536 pages
Book Rating : 4.6X/5 ( download)

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Book Synopsis Foundations of Computer Science by : Wilfried Brauer

Download or read book Foundations of Computer Science written by Wilfried Brauer and published by Springer Science & Business Media. This book was released on 1997-10-24 with total page 536 pages. Available in PDF, EPUB and Kindle. Book excerpt: Content Description #Dedicated to Wilfried Brauer.#Includes bibliographical references and index.

Analysis for Computer Scientists

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Publisher : Springer Science & Business Media
ISBN 13 : 0857294466
Total Pages : 338 pages
Book Rating : 4.63/5 ( download)

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Book Synopsis Analysis for Computer Scientists by : Michael Oberguggenberger

Download or read book Analysis for Computer Scientists written by Michael Oberguggenberger and published by Springer Science & Business Media. This book was released on 2011-03-19 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook presents an algorithmic approach to mathematical analysis, with a focus on modelling and on the applications of analysis. Fully integrating mathematical software into the text as an important component of analysis, the book makes thorough use of examples and explanations using MATLAB, Maple, and Java applets. Mathematical theory is described alongside the basic concepts and methods of numerical analysis, supported by computer experiments and programming exercises, and an extensive use of figure illustrations. Features: thoroughly describes the essential concepts of analysis; provides summaries and exercises in each chapter, as well as computer experiments; discusses important applications and advanced topics; presents tools from vector and matrix algebra in the appendices, together with further information on continuity; includes definitions, propositions and examples throughout the text; supplementary software can be downloaded from the book’s webpage.