Mathematics in Computing
Gerard O'Regan
Reading Time
at 250 WPM5h 8m
The average reader, reading at a speed of 250 WPM, would take 5h 8m to read Mathematics in Computing.
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11
days at 30 min/day
308
total minutes
Mathematics in Computing
Published
Nov 16, 2012
Publisher
Springer
Pages
308
ISBN-13
9781447145356
ISBN-10
1447145356
Description
<p>From the earliest examples of computation to the digital devices that are ubiquitous in modern society, the application of mathematics to computing has underpinned the technology that has built our world.</p><p>This clearly written and enlightening textbook/reference provides a concise, introductory guide to the key mathematical concepts and techniques used by computer scientists. Spanning a wide range of topics – from number theory to software engineering – the book demonstrates the practical computing applications behind seemingly abstract ideas. The work of important figures such as Alan Turing and Robert Floyd are also discussed, highlighting how the theory has been informed by historical developments.</p><p><b>Topics and features:</b></p><ul><li>Ideal for self-study, offering many pedagogical features such as chapter-opening key topics, chapter introductions and summaries, review questions, and a glossary</li><li>Places our current state of knowledge within the context of the contributions made by early civilizations, such as the ancient Babylonians, Egyptians and Greeks</li><li>Examines the building blocks of mathematics, including sets, relations and functions</li><li>Presents an introduction to logic, formal methods and software engineering</li><li>Explains the fundamentals of number theory, and its application in cryptography</li><li>Describes the basics of coding theory, language theory, and graph theory</li><li>Discusses the concept of computability and decideability</li><li>Includes concise coverage of calculus, probability and statistics, matrices, complex numbers and quaternions</li></ul><p>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.</p>
Subjects
Reachability Problems
Artificial general intelligence
Logical Foundations of Computer Science
Grammatical Inference
Language and Automata Theory and Applications
Logica Universalis
Frequently Asked Questions
How many pages are in Mathematics in Computing?
This edition of Mathematics in Computing has approximately 308 pages. Please note, this is an estimate and the exact page count can vary between hardcover, paperback, and e-book versions.
How long does it take to read Mathematics in Computing?
For most readers, Mathematics in Computing typically takes between 6h 25m and 4h 17m to complete. This is based on the book's length of approximately 77,000 words and common reading speeds.
Here's a detailed breakdown: • Continuous reading at 250 WPM: approximately 5h 8m of focused reading • Casual reading (30 minutes/day): you could finish in roughly 11 days • Estimated word count: 77,000 words
Your individual reading time will vary based on your personal reading pace, the amount of daily reading time, and your familiarity with the subject matter.
What is the word count of Mathematics in Computing?
The estimated word count for Mathematics in Computing is approximately 77,000 words. This figure is calculated using industry-standard methods that consider genre-specific word density patterns, typical formatting and layout characteristics, and standard words-per-page ratios for published books.
This is an approximation — actual word count may vary based on font size, formatting, edition, and the presence of illustrations or charts.
Who is the author of Mathematics in Computing?
Mathematics in Computing was written by Gerard O'Regan.
When was Mathematics in Computing published?
The publication date for this specific edition is Nov 16, 2012. The original work may have been published on a different date.