Graphs Networks and Algorithms From the reviews of the previous editions .... The book is a first class textbook and seems to be indispensable for everybody who has to teach combinatorial optimization. It is very helpful for students teachers and researchers in this area. The author finds a striking synthesis of nice and interesting mathematical results and practical applications. ... the author pays much attention to the inclusion of well chosen exercises. The reader does not remain helpless; solutions or at least hints are given in the appendix. Except for some small basic mathematical and algorithmic knowledge the book is self contained. ... K.Engel Mathematical Reviews 2002 The substantial development effort of this text involving multiple editions and trailing in the context of various workshops university courses and seminar series clearly shows through in this new edition with its clear writing good organisation comprehensive coverage of essential theory and well chosen applications. The proofs of important results and the representation of key algorithms in a Pascal like notation allow this book to be used in a high level undergraduate or low level graduate course on graph theory combinatorial optimization or computer science algorithms. The well worked solutions to exercises are a real bonus for self study by students. The book is highly recommended. P .B. Gibbons Zentralblatt für Mathematik 2005 Once again the new edition has been thoroughly revised. In particular some further material has been added: more on NP completeness (especially on dominating sets) a section on the Gallai Edmonds structure theory for matchings and about a dozen additional exercises – as always with solutions. Moreover the section on the 1 factor theorem has been completely rewritten: it now presents a short direct proof for the more general Berge Tutte formula. Several recent research developments are discussed and quite a few references have been added. Prefaces Basic Graph Theory Algorithms and Complexity Shortest Paths Spanning Trees The Greedy Algorithm Flows Combinatorial Applications Connectivity and Depth First Search Colorings Circulations The Network Simplex Algorithm Synthesis of Networks Matchings Weighted Matchings A Hard Problem: The TSP Appendix A: Some NP Complete Problems Appendix B: Solutions Appendix C: List of Symbols References Index.