Could you please explain the question.

Typically in a directed graph we talk of in-degree and out-degree for
a vertex. So is the question then to minimize the maximum of these in
all vertices of the graph? If so what operations are permitted?

On 5/16/07, pramod <[EMAIL PROTECTED]> wrote:
>
> Here's a graph problem.
>
> We are given a directed graph. We are allowed to change the directions
> of the edges.
> Our aim is to minimize the maximum degree in the graph.
> How do we achieve this?
>
> One way is to take the vertex with maximum degree, and take another
> vertex with least degree reachable from this max-degree vertex and
> then reverse all the edges' direction along the path. Now the
> questions with this approach are (1) how do we prove that this will
> lead to the optimal-graph in the sense, can we get a graph such that
> it's maximum degree is the best possible?
> (2) What's the time complexity, is it bound tightly?
> (3) Is there any better way?
>
> Thanks
>
>
> >
>


-- 


Regards,
Rajiv Mathews

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