Introduction to Graph Theory: With Solutions to Selected Problems

Master the language of networks with Introduction to Graph Theory: With Solutions to Selected Problems by Khee Meng Koh, Fengming Dong, and Eng Guan Tay — a clear, approachable gateway into one of mathematics’ most practical and vibrant fields.

This text draws you in with concise explanations and well-chosen examples that illuminate core topics: graphs and digraphs, connectivity, trees, planarity, coloring, matching, and basic extremal and algorithmic results. Carefully worked proofs and intuitively guided arguments make complex ideas accessible to undergraduates, instructors, and self-learners. The included solutions to selected problems reinforce understanding and build problem-solving confidence, turning theory into practical skill.

Ideal for students preparing for coursework or competitive exams, this book also serves as a compact reference for researchers and practitioners in computer science, network analysis, operations research, and combinatorics. Its structured progression supports classroom adoption across global campuses — from Singapore and the Asia-Pacific region to Europe and North America — while remaining friendly to independent study.

Why this edition stands out: readable exposition, balanced coverage of theory and application, and thoughtfully chosen exercises that deepen comprehension without overwhelming. Whether you’re just beginning or consolidating your knowledge, you’ll find methods and insights that translate directly to real-world network problems and algorithmic thinking.

Ready to deepen your understanding of graphs and networks? Add Introduction to Graph Theory: With Solutions to Selected Problems by Khee Meng Koh, Fengming Dong, and Eng Guan Tay to your library today and take the next step toward mastering graph theory.

Note: eBooks do not include supplementary materials such as CDs, access codes, etc.