From: David G. <dav...@gm...> - 2006-08-01 20:36:18
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I actually just looked into the boost graph library and hit a wall. I basically had trouble running bjam on it. It complained about a missing build file or something like that. Anyways, for now I can live with non-sparse implementation. This is mostly prototyping code for integeration in to a largely Java system (with some things written in C). So this will be ported to Java or C eventually. Whether or not I will need to protoype something that scales to thousands of nodes remains to be seen. Dave On 8/1/06, Charles R Harris <cha...@gm...> wrote: > > Hi David, > > I often have several thousand nodes in a graph, sometimes clustered into > connected components. I suspect that using an adjacency matrix is an > inefficient representation for graphs of that size while for smaller graphs > the overhead of more complicated structures wouldn't be noticeable. Have you > looked at the boost graph library? I don't like all their stuff but it is a > good start with lots of code and a suitable license. > > Chuck > > On 8/1/06, David Grant <dav...@gm...> wrote: > > > I have written my own graph class, it doesn't really do much, just has a > few methods, it might do more later. Up until now it has just had one piece > of data, an adjacency matrix, so it looks something like this: > > class Graph: > def __init__(self, Adj): > self.Adj = Adj > > I had the idea of changing Graph to inherit numpy.ndarray instead, so then > I can just access itself directly rather than having to type self.Adj. Is > this the right way to go about it? To inherit from numpy.ndarray? > > The reason I'm using a numpy array to store the graph by the way is the > following: > -Memory is not a concern (yet) so I don't need to use a sparse structure > like a sparse array or a dictionary > -I run a lot of sums on it, argmin, blanking out of certain rows and > columns using fancy indexing, grabbing subgraphs using vector indexing > > -- > David Grant > http://www.davidgrant.ca > > ------------------------------------------------------------------------- > Take Surveys. Earn Cash. Influence the Future of IT > Join SourceForge.net's Techsay panel and you'll get the chance to share > your > opinions on IT & business topics through brief surveys -- and earn cash > http://www.techsay.com/default.php?page=join.php&p=sourceforge&CID=DEVDEV > > _______________________________________________ > Numpy-discussion mailing list > Num...@li... > https://lists.sourceforge.net/lists/listinfo/numpy-discussion > > > > -- David Grant http://www.davidgrant.ca |