Дискретная математика

Chapman and Hall/CRC, 2019. — 534 p. — ISBN: 978-1-3510-1914-9 (ebook). Discrete Mathematics has permeated the whole of mathematics so much so it has now come to be taught even at the high school level. This book presents the basics of Discrete Mathematics and its applications to day-to-day problems in several areas. This book is intended for undergraduate students of Computer...

Cambridge Scholars Publishing 2019. — 621 p. — ISBN 9781527537033. This book analyses selected algorithms for random and stochastic phenomena in the areas of basic probability, random variables, mathematical expectation, special probability and statistical distributions, random processes, and Markov chains. It also presents a novel approach, titled the Complex Probability...

Mercury Learning and Information, 2021. — 382 p. — ISBN 978-1-68392-763-1. This book covers discrete mathematics both as it has been established after its emergence since the middle of the last century and as its elementary applications to cryptography. It can be used by any individual studying discrete mathematics, finite mathematics, and similar subjects. Any necessary...

3rd Edition. — Springer, 2020. — 408 p. — ISBN: 978-3-030-42218-9 (eBook). This easy-to-understand textbook introduces the mathematical language and problem-solving tools essential to anyone wishing to enter the world of computer and information sciences. Specifically designed for the student who is intimidated by mathematics, the book offers a concise treatment in an engaging...

Cambridge: Cambridge University Press, 2020. — 300 p. — ISBN: 1108471137. Networks are everywhere: networks of friends, transportation networks and the Web. Neurons in our brains and proteins within our bodies form networks that determine our intelligence and survival. This modern, accessible textbook introduces the basics of network science for a wide range of job sectors from...

Springer, 2014. — 372 p. — ISBN: 978-1-4471-4534-9 (eBook). This clearly written and enlightening textbook provides a concise, introductory guide to the key mathematical concepts and techniques used by computer scientists. Topics and features: ideal for self-study, offering many pedagogical features such as chapter-opening key topics, chapter introductions and summaries, review...