بررسی پیچیدگی مسئله ای حداکثر جریان با قیدهای جداکننده دودویی
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One of the most important combinatorial optimization problems in networktopic is that of determining the maximum flow possible from onegiven source node to a sink node under arc capacity and flow conservation constraints. We study the maximum flow problem in a networkwith some additional constraints that is called binary disjunctiv constraints. negative disjunctive constraint states that a certain pair of arcs in network cannot be simultaneously used for sending flow in a feasible solution. In contrast, positive disjunctive constraints force that forcertain pairs of arcs at least one arc has to carry flow in a feasible solution. It is convenient to represent the negative disjunctive constraints in terms of a so-called conflict graph whose vertices correspond to the arcs of the underlying network, and whose edges correspond to the binary disjunctiv constraints. Analogously, we represent the positive disjunctive constraints by a so-called forcing graph. For conflict graphs, we prove that the maximum flow problem is strongly NP-hard, even if every connected component of the conflict graph is isolated edge. In contrast to this, we show that for forcing graphs the problem can be solved efficiently if arbitrary flow values are allowed. If on the other hand the flow values are required to be integral we provide the sharp line between polynomially solvable and strongly NP-hard instances