It's kind of characterizing the dynamics of virus spreading in arbitrary networks. It uses Markov knowledge.
There are a lot of complicated mathmatics equations. 2009-04-29 Zhenxin Zhan 发件人： Charles R Harris 发送时间： 2009-04-29 02:09:57 收件人： Discussion of Numerical Python 抄送： 主题： Re: [Numpy-discussion] MemoryError for computing eigen-vector on 10,000*10, 000 matrix 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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