Focusing on graph isomorphism, this textbook offers a comprehensive introduction to graph algorithms, combining intuitive explanations with structured pseudocode and correctness proofs. It covers classical topics like shortest paths and flows, while also addressing emerging applications in computational biology and chemistry. The text includes advanced algorithmic techniques and provides Python code for practical implementation. Enhanced with illustrations, examples, exercises, and a thorough bibliography, it serves as a valuable resource for both students and professionals.
