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 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.
Engel, Mathematical Reviews 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. 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.
If You feel that this book is belong to you and you want to unpublish it, Please Contact us. Download e-Book. Posted on. Chattopadhyay, D. Decomposition techniques in mathematical programming : Engineering and science applications. Author : F. Yuhua, P. Maji, A. Salama , S. Pages Coverings and Colourings. Miscellaneous Applications.
Operations Research. Electrical Engineering. Industrial Engineering. Civil Engineering. Back Matter Pages
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