By Prof. Jørgen Bang-Jensen, Prof. Gregory Z. Gutin (auth.)

The conception of directed graphs has constructed drastically over contemporary many years, but this ebook (first released in 2000) is still the single publication to hide greater than a small fraction of the consequences. New learn within the box has made a moment version a necessity.

Substantially revised, reorganised and up to date, the publication now contains eighteen chapters, conscientiously prepared in an easy and logical demeanour, with many new effects and open problems.

As good as protecting the theoretical points of the topic, with particular proofs of many very important effects, the authors current a couple of algorithms, and full chapters are dedicated to issues equivalent to branchings, suggestions arc and vertex units, connectivity augmentations, sparse subdigraphs with prescribed connectivity, and likewise packing, protecting and decompositions of digraphs. in the course of the publication, there's a powerful concentrate on functions which come with quantum mechanics, bioinformatics, embedded computing, and the vacationing salesman problem.

Detailed indices and topic-oriented chapters ease navigation, and greater than 650 routines, a hundred and seventy figures and a hundred and fifty open difficulties are integrated to assist immerse the reader in all elements of the subject.

Digraphs is a necessary, accomplished reference for undergraduate and graduate scholars, and researchers in arithmetic, operations study and desktop technology. it is going to additionally turn out beneficial to experts in similar parts, corresponding to meteorology, physics and computational biology.

Jørgen Bang-Jensen is a Professor within the division of arithmetic and laptop technological know-how on the collage of Southern Denmark, Odense, Denmark.

Gregory Gutin is Professor of computing device technological know-how at Royal Holloway collage, collage of London, UK.

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**Additional info for Digraphs: Theory, Algorithms and Applications**

**Example text**

Similarly, G is k-connected if G is k-strong. Strong components ↔ in G are connected components, or just components in G. A bridge in a connected pseudograph G is an edge whose deletion from G makes G disconnected. A pseudograph G is k-edge-connected if the graph obtained from G after deletion of at most k − 1 edges is connected. Clearly, a connected pseudograph is bridgeless if and only if it is 2-edge-connected. The neighbourhood NG (x) of a vertex x in G is the set of vertices adjacent to x.

Vp , Vi ∩ Vj = ∅ for every i = j) such that every edge of H has its end-vertices in diﬀerent partite sets. The special case of a p-partite graph when p = 2 is called a bipartite graph. We often denote a bipartite graph B by B = (V1 , V2 ; E). A p-partite multigraph H is complete p-partite if, for every pair x ∈ Vi , y ∈ Vj (i = j), an edge xy is in H. A complete graph on n vertices is clearly a complete n-partite graph for which every partite set is a singleton. We denote the complete p-partite graph with partite sets of cardinalities n1 , n2 , .

Xk−1 are distinct, k ≥ 3 and x1 = xk , W is a cycle. Since paths and cycles are special cases of walks, the length of a path and a cycle is already deﬁned. , an (x, y)-path. , P is either an (x, y)-path or a (y, x)-path. A longest path (cycle) in D is a path (cycle) of maximum length in D. When W is a cycle and x is a vertex of W , we say that W is a cycle through x. In a directed pseudograph D, a loop is also considered a cycle (of length one). A k-cycle is a cycle of length k. The minimum integer k for which D has a k-cycle is the girth of D; denoted by g(D).