Hi,
The weights can be external, too. It's only a function from edge to
weight. Your algorithm can take a function for its weights. The files
library does it similar to this.
what if that mapping function becomes a responsibility of WeightedGraph
itself? And more generally, what if any property of vertices and/or
edges is moved to the containing graph?
We could externalize all different graph properties to appropriate
interfaces (HasWeightsOnEdges, HasLabelsOnVertices, etc) and then each
algorithm specifies the needed input graph including the subset of
interfaces it needs to implement. We do something like that with weight
operations already.
Claudio
On Mar 2, 2012 3:08 PM, "Ted Dunning"<ted.dunn...@gmail.com> wrote:
Having weights on vertices is quite common. Consider any probability
transition network. The weight on each node is the probability of being in
that state and the weights on the edges are conditional probabilties.
Page rank is a related example of having weights on nodes.
On Fri, Mar 2, 2012 at 12:40 AM, Claudio Squarcella<
squar...@dia.uniroma3.it> wrote:
Hi all,
Claudio is aware also about algorithms where weights are associated to
Vertex - he's preparing his PhD research on graphes - maybe he can
show us a more long-vision roadmap and evaluate benefits on
simplifying the design.
yes there are algorithms with weights on vertices. Of course those with
weighted edges (like the ones already implemented) are much more
widespread
and frequently used, but still we cannot forget about that. Also,
although
on a secondary level, labels on vertices/edges are kind of important in
many situations (including testing, debugging) where I think it is good
to
keep them distinct from the standard "toString" method (you might want to
represent only a subset of info in the label, etc).
Matthew Pocock suggested an alternative approach back in the days of
weight abstraction:
* the graph itself is extremely simple and naked: no weights/labels on
vertices/edges;
* all properties are stored in some external structure, which I
imagine composed of associative maps (Map<Edge, Weight>, etc etc).
He motivated the idea with a "personal use case": often graphs are used
and reused with the same structure but different weights (and/or labels,
etc). Now if James' question becomes a second use case, maybe it's the
right time to exhume that idea ;)
Ciao,
Claudio
--
Claudio Squarcella
PhD student at Roma Tre University
http://www.dia.uniroma3.it/~**squarcel<
http://www.dia.uniroma3.it/~squarcel>
http://squarcella.com/
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