Intuitive introduction to graph algorithms for accessible learning
Literate programming style with detailed algorithm exposition for clarity
Correctness proofs and worst-case analyses ensure algorithm reliability
Full Python code implementations using the LEDA library for practical application
Covers advanced algorithmic results with practical relevance for diverse fields
This textbook introduces graph algorithms on an intuitive basis followed by a detailed exposition using structured pseudocode, with correctness proofs as well as worst-case analyses. Graph algorithms is a well-established subject in mathematics and computer science. Beyond classical application fields, like approximation, combinatorial op