On Tue, Apr 28, 2009 at 11:49 PM, Zhenxin Zhan <andyjian430...@gmail.com>wrote:
> Thanks. My mistake. > > The os is 32-bit. I am doing a network-simulation for my teacher. The > average degree of the network topology is about 6.0. So I think it is > sparse. > > The paper needs the eigen values and the eigen vectors which are necessary > for the further simulation. I use the following procedure: > > 1. read the network vertices information from a txt file to a > 10,000*10,000 list 'lists'. > 2. And then use numpy.array(lits, dtype=float) to get a array object 'A' > 3. Finally, use numpy.linalg.eig(A) to get the eigen values and eigen > vectors. > 4. Using 'tofile' function to write them to local file. > > I will refer to scipy. > > So is this some sort of Markov simulation with the messages passing between nodes with a given probability? Chuck > >
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