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Mathematics in Computing, Gerard O`Regan


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Автор: Gerard O`Regan
Название:  Mathematics in Computing
ISBN: 9783030342081
Издательство: Springer
Классификация:



ISBN-10: 3030342085
Обложка/Формат: Soft cover
Страницы: 458
Вес: 0.74 кг.
Дата издания: 2020
Серия: Undergraduate Topics in Computer Science
Язык: English
Издание: 2nd ed. 2020
Иллюстрации: 66 tables, color; 73 illustrations, color; 133 illustrations, black and white; xxvi, 458 p. 206 illus., 73 illus. in color.
Размер: 234 x 156 x 25
Читательская аудитория: Professional & vocational
Основная тема: Computer Science
Подзаголовок: An Accessible Guide to Historical, Foundational and Application Contexts
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This illuminating textbook provides a concise review of the core concepts in mathematics essential to computer scientists. Emphasis is placed on the practical computing applications enabled by seemingly abstract mathematical ideas, presented within their historical context. The text spans a broad selection of key topics, ranging from the use of finite field theory to correct code and the role of number theory in cryptography, to the value of graph theory when modelling networks and the importance of formal methods for safety critical systems.This fully updated new edition has been expanded with a more comprehensive treatment of algorithms, logic, automata theory, model checking, software reliability and dependability, algebra, sequences and series, and mathematical induction.Topics and features: includes numerous pedagogical features, such as chapter-opening key topics, chapter introductions and summaries, review questions, and a glossary; describes the historical contributions of such prominent figures as Leibniz, Babbage, Boole, and von Neumann; introduces the fundamental mathematical concepts of sets, relations and functions, along with the basics of number theory, algebra, algorithms, and matrices; explores arithmetic and geometric sequences and series, mathematical induction and recursion, graph theory, computability and decidability, and automata theory; reviews the core issues of coding theory, language theory, software engineering, and software reliability, as well as formal methods and model checking; covers key topics on logic, from ancient Greek contributions to modern applications in AI, and discusses the nature of mathematical proof and theorem proving; presents a short introduction to probability and statistics, complex numbers and quaternions, and calculus.This engaging and easy-to-understand book will appeal to students of computer science wishing for an overview of the mathematics used in computing, and to mathematicians curious about how their subject is applied in the field of computer science. The book will also capture the interest of the motivated general reader.
Дополнительное описание: What is a Computer?.- Foundations of Computing.- Overview of Mathematics in Computing.- Introduction to Algorithms.- Number Theory.- Algebra.- Sequences, Series, and Permutations and Combinations.- Mathematical Induction and Recursion.- Graph Theory.- Cry



The Art of Electronics

Автор: Horowitz
Название: The Art of Electronics
ISBN: 0521809266 ISBN-13(EAN): 9780521809269
Издательство: Cambridge Academ
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Цена: 13622.00 р.
Наличие на складе: Заказано в издательстве.

Описание: At long last, here is the thoroughly revised and updated, and long-anticipated, third edition of the hugely successful The Art of Electronics. Widely accepted as the best single authoritative text on electronic circuit design, it will be an indispensable reference and the gold standard for anyone in the field.

Автор: Horowitz Paul
Название: The art of electronics The x Chapters
ISBN: 1108499945 ISBN-13(EAN): 9781108499941
Издательство: Cambridge Academ
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Цена: 8870.00 р.
Наличие на складе: Заказано в издательстве.

Описание: The x-Chapters is the missing pieces of The Art of Electronics, to be used either as its complement, or as a direct route to exploring some of the most exciting and oft-overlooked topics in advanced electronic engineering. Students, researchers and practitioners will find here techniques and circuits that are unavailable elsewhere.

Type Theory and Formal Proof

Автор: Nederpelt
Название: Type Theory and Formal Proof
ISBN: 110703650X ISBN-13(EAN): 9781107036505
Издательство: Cambridge Academ
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Цена: 10611.00 р.
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Описание: Type theory is a fast-evolving field at the crossroads of logic, computer science and mathematics. This book provides a gentle step-by-step introduction in the art of formalizing mathematics on the basis of type theory. It is suitable for a broad audience, ranging from undergraduate students to researchers.

Random Processes for Engineers

Автор: Hajek
Название: Random Processes for Engineers
ISBN: 1107100127 ISBN-13(EAN): 9781107100121
Издательство: Cambridge Academ
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Цена: 9821.00 р.
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Описание: An engaging introduction to the critical tools needed to design and evaluate engineering systems that must operate reliably in uncertain environments. It includes over 100 worked examples and over 300 end-of-chapter problems, with worked solutions to half provided in the book and the remaining solutions available online for instructors.

An Introduction to the Bootstrap

Автор: Efron
Название: An Introduction to the Bootstrap
ISBN: 0412042312 ISBN-13(EAN): 9780412042317
Издательство: Taylor&Francis
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Цена: 22968.00 р.
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Описание: An exploration of the many different bootstrap techniques. It discusses useful statistical techniques through real data examples and covers nonparametric regression, density estimation, classification trees, and least median squares regression. There are numerous exercises.

Mathematics for Future Computing and Communications

Автор: Liao Heng
Название: Mathematics for Future Computing and Communications
ISBN: 1316513580 ISBN-13(EAN): 9781316513583
Издательство: Cambridge Academ
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Цена: 8554.00 р.
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Описание: New mathematical ideas go hand-in-hand with innovation in computing, communications and AI. Such innovations are described here in a book that provides a panorama of ideas and applications in computer architecture, software verification, quantum computing, compressed sensing, Bayesian inference, machine learning, reinforcement learning and more.

Mathematics of Quantum Computing: An Introduction

Автор: Scherer Wolfgang
Название: Mathematics of Quantum Computing: An Introduction
ISBN: 303012360X ISBN-13(EAN): 9783030123604
Издательство: Springer
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Цена: 11179.00 р.
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Описание:

Introduction.- Basic Notions of Quantum Mechanics.- Tensor Products and Composite Systems.- Entanglement.- Quantum Gates and Circuits for Elementary Calculations.- On the Use of Entanglement.- Error Correction.- Adiabatic Quantum Computing.- Epilogue Appendices: A Elementary Probability Theory.- B Elementary Arithmetic Operations.- C LANDAU Symbols.- D Modular Arithmetic.- E Continued Fractions.- F Some Group Theory.- G Proof of a Quantum Adiabatic Theorem.- Solutions to Exercises.


What Is Mathematics?

Автор: Courant, Richard; Robbins, Herbert
Название: What Is Mathematics?
ISBN: 0195105192 ISBN-13(EAN): 9780195105193
Издательство: Oxford Academ
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Цена: 3087.00 р.
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Описание: Written for beginners and scholars, for students and teachers, for philosophers and engineers, What is Mathematics?, Second Edition is a sparkling collection of mathematical gems that offers an entertaining and accessible portrait of the mathematical world. Covering everything from natural numbers and the number system to geometrical constructions and projective geometry, this fascinating survey allows readers to delve into mathematics as an organic wholerather than an empty drill in problem solving.

Approximation Theory and Approximation Practice: Extended Edition

Автор: Lloyd N. Trefethen
Название: Approximation Theory and Approximation Practice: Extended Edition
ISBN: 161197593X ISBN-13(EAN): 9781611975932
Издательство: Mare Nostrum (Eurospan)
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Цена: 9148.00 р.
Наличие на складе: Нет в наличии.

Описание: This is a textbook on classical polynomial and rational approximation theory for the twenty-first century. Aimed at advanced undergraduates and graduate students across all of applied mathematics, it uses MATLAB to teach the field’s most important ideas and results.

Approximation Theory and Approximation Practice, Extended Edition differs fundamentally from other works on approximation theory in a number of ways: its emphasis is on topics close to numerical algorithms; concepts are illustrated with Chebfun; and each chapter is a PUBLISHable MATLAB M-file, available online.

The book centers on theorems and methods for analytic functions, which appear so often in applications, rather than on functions at the edge of discontinuity with their seductive theoretical challenges. Original sources are cited rather than textbooks, and each item in the bibliography is accompanied by an editorial comment. In addition, each chapter has a collection of exercises, which span a wide range from mathematical theory to Chebfun-based numerical experimentation.

A Student`s Guide to Numerical Methods

Автор: Hutchinson
Название: A Student`s Guide to Numerical Methods
ISBN: 1107479509 ISBN-13(EAN): 9781107479500
Издательство: Cambridge Academ
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Цена: 4118.00 р.
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Описание: Written for senior undergraduates in all disciplines of physical science and engineering, the plain language style of this concise guide to numerical methods concentrates on developing computational skills and avoids potentially intimidating formal mathematical proofs. Including numerous worked examples and exercises, this textbook explains the practical realities of numerical techniques.

Computation, Proof, Machine

Автор: Dowek
Название: Computation, Proof, Machine
ISBN: 0521118018 ISBN-13(EAN): 9780521118019
Издательство: Cambridge Academ
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Цена: 13147.00 р.
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Описание: Computation, calculation, algorithms - all have played an important role in mathematical progress from the beginning - but behind the scenes, their contribution was obscured in the enduring mathematical literature. To understand the future of mathematics, this fascinating book returns to its past, tracing the hidden history that follows the thread of computation.


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