Biggs' Discrete Mathematics has been a best-selling textbook since the first and revised editions were published in 1986 and 1990, respectively. This second edition has been developed in response to undergraduate course changes and changes in students' needs. New to this edition are chapters on statements and proof, logical framework, and natural numbers and the integers, in addition to updated chapters from the previous edition. The new chapters are presented at a level suitable for mathematics and computer science students seeking a first approach to this broad and highly relevant topic. Each chapter contains newly developed tailored exercises, and miscellaneous exercises are presented throughout, providing the student with over 1000 individual tailored exercises. This edition is accompanied by a website www.oup.com/mathematics/discretemath containing hints and solutions to all exercises presented in the text, providing an invaluable resource for students and lecturers alike. The book is carefully structured, coherent and comprehensive, and is the ideal text for students seeking a clear introduction to discrete mathematics, graph theory, combinatorics, number theory, coding theory and abstract algebra.
University Math book, with surprising sense of humor. It teaches logic, proofs, and numbers. Didactic style is literally fool-proof. After reading and successfully performing all exercises, expect to score 20 to 30 points higher in IQ tests. Warmly suggested to everyone who thought "I'm not good at math".
I'm sure this is a good book! I just havent had the time to read theough the exact sentence of every page. Ive read the majority tho so 🤷♂️ I'll read it the week before my exam (oh god thats next week)
There are lots of fun (and good) books on discrete math. I’m not sure this book is fun, but it’s certainly good, especially if you are new to the subject. This book covers many topics a computer scientist should be one familiar with, from elementary number theory and combinatorics, to finite fields. There’s an entire section for graph and algorithms with several hints for further investigation; this section is a great companion to computer programming books. The section on algebraic topics is useful if you want to learn the essential properties of finite groups and fields without attending lessons in abstract algebra. The author maintains an informal style and avoids the use of historical notions, which would be useless for a book of this kind; the depth of detail is not overwhelming and hints for more advanced topics are suggested in the problems at the end of each chapter.
Packed with material. From classic discrete math intro subjects like proofs and combinatorics to basic abstract algebra and some algorithms. Would have liked even more focus on combinatorics and graphs but just my opinion. Very short and to the point as is expected from an European text book.