[Numpy-discussion] Numpy and iterative procedures
Geoffrey Zhu
gzhu@peak6....
Thu Feb 15 10:32:32 CST 2007
Thanks Chuck.
I am trying to use Successive Over-relaxation to solve linear equations
defined by M*v=3Dq.
There are several goals:
1. Eventually (in production) I need it to be fast.
2. I am playing with the guts of the algorithm for now, to see how it
works. that means i need some control for now.
3. Even in production, there is a chance i'd like to have the ability to
tinker with the algorithm.
_____
From: numpy-discussion-bounces@scipy.org
[mailto:numpy-discussion-bounces@scipy.org] On Behalf Of Charles R
Harris
Sent: Thursday, February 15, 2007 10:11 AM
To: Discussion of Numerical Python
Subject: Re: [Numpy-discussion] Numpy and iterative procedures
On 2/15/07, Geoffrey Zhu <gzhu@peak6.com> wrote:
Hi,
I am new to numpy. I'd like to know if it is possible to code
efficient
iterative procedures with numpy.
Specifically, I have the following problem.
M is an N*N matrix. Q is a N*1 vector. V is an N*1 vector I am
trying to
find iteratively from the initial value V_0. The procedure is
simply to
calculate
V_{n+1}[i]=3D3D1/M[I,i]*(q[i]-
(M[i,1]*v_{n+1}[1]+M[I,2]*v_{n+1}[2]+..+M[i,i-1]*v_{n+1}[i-1]) -
(M[I,i+1]*v_{n}[i+1]+M[I,i+2]*v_{n}[i+2]+..+M[I,N]*v_{n}[N]))
I do not see that this is something that can esaily be
vectorized, is
it?
I think it would be better if you stated what the actual problem is. Is
it a differential equation, for instance. That way we can determine what
the problem class is and what algorithms are available to solve it.
Chuck
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