Primal-dual approach for directed vertex connectivity augmentation and generalizations

András A. Benczúr, László Végh


In their seminal paper, Frank and Jordán show that a large class of optimization problems including certain directed graph augmentation ones fall into the class of covering supermodular functions over pairs of sets. They also give an algorithm for such problems, however that relies on the ellipsoid method. Prior to our result, combinatorial algorithms existed only for the 0-1 valued problem. Our key result is a combinatorial algorithm for the general problem that includes directed vertex or S-T connectivity augmentation. The algorithm is based on the second author's previous algorithm for the 0-1 valued case.
Our algorithm uses a primal-dual scheme for finding covers of partially ordered sets that satisfy natural abstract properties as in Frank and Jordán. For an initial (possibly greedy) cover the algorithm searches for witnesses for the necessity of each element in the cover. If no two (weighted) witnesses have a common cover, the solution is optimal. As long as this is not the case, the witnesses are gradually exchanged by smaller ones. Each witness change defines an appropriate change in the solution; these changes are finally unwound in a shortest path manner to obtain a solution of size one less.

Bibtex entry:

AUTHOR = {Bencz{\'u}r A., Andr{\'a}s and V{\'e}gh, L{\'a}szl{\'o}},
TITLE = {Primal-dual approach for directed vertex connectivity augmentation and generalizations},
NOTE= {{\tt}},
INSTITUTION = {Egerv{\'a}ry Research Group, Budapest},
YEAR = {2005},
NUMBER = {TR-2005-06}

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