There has been an explosive growth in the field of combinatorial
algorithms. These algorithms depend not only on results in
combinatorics and especially in graph theory, but also on the
development of new data structures and new techniques for analyzing
algorithms. Four classical problems in network optimization are
covered in detail, including a development of the data structures
they use and an analysis of their running time. Data Structures and
Network Algorithms attempts to provide the reader with both a
practical understanding of the algorithms, described to facilitate
their easy implementation, and an appreciation of the depth and
beauty of the field of graph algorithms.
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