| Book | Strengths vs. Biggs (2002) | Weaknesses vs. Biggs | | :--- | :--- | :--- | | | More examples, more colorful, encyclopedic. | Can feel bloated; less mathematical maturity demanded. | | Epp (4th ed.) | Excellent for CS students; strong on logic and proofs. | Weaker on graph theory and algebraic topics. | | Grimaldi | Great for combinatorics and number theory. | Dense typesetting; less modern in algorithm coverage. | | Biggs (2002) | Perfect balance of theory and application; superb graph theory. | Fewer color figures; may be too concise for absolute beginners. |
I can provide or practice problems based on any chapter you choose. | Book | Strengths vs
The book has several key features that make it a popular choice among students and instructors: | Can feel bloated; less mathematical maturity demanded
: Explores principles of combinatorics, subsets, designs, and partitions. Algorithms and Graphs | | Grimaldi | Great for combinatorics and number theory
Permutations, combinations, and binomial theorems.
The 2002 Oxford University Press edition of Norman Biggs’ Discrete Mathematics is not just a textbook; it is a rite of passage. While newer competitors have added online codes and flashy graphics, Biggs’ work retains a quiet authority. It teaches you to think discretely—to break problems into finite steps, to prove with rigor, and to see the hidden structures in networks, codes, and numbers.