On Mon, Jan 12, 2009 at 2:12 PM, Danny dannytar...@gmail.com wrote:
Hi,
This isn't 100% fleshed out, but what do you think about something
that works along these lines:
xs, ys = ([], [])
for i in range(1000):
xs.append(random.randn())
ys.append(random.randn())
s = Sum('(x(i) * y(i)
On Mon, Jan 5, 2009 at 11:08 AM, Danny dannytar...@gmail.com wrote:
Hi Ondrej,
Thanks for the functions idea. Having to do the x substitution is a
little annoying, but the suggestion helps enough to get me past that
block, so I'm happy.
Do you know how to do it more easily? If so, let's
Hi Ondrej,
Thanks for the functions idea. Having to do the x substitution is a
little annoying, but the suggestion helps enough to get me past that
block, so I'm happy.
I can't promise anything quickly, but I should have enough now to make
some headway on my original request.
Danny
On Dec
Hi Danny!
On Mon, Dec 29, 2008 at 4:01 PM, Danny Tarlow dannytar...@gmail.com wrote:
[...]
Is this possible to do with Sympy? If I were interested in working on
something like this, how hard would it be for a sympy newbie (but
competent programmer) to implement? Any tips on where to start?
Hi Ondrej,
Thanks for the quick response. I took a look at the Sum class tests,
but there is still one part I'm not clear on.
In defining a summation, I would like to have the sum over an array of
symbols, indexed by an iterate.
For example, In the sum
\sum_{i=0}^4 tau_i,
I'd like each
2008/12/30 Danny dannytar...@gmail.com:
Hi Ondrej,
Thanks for the quick response. I took a look at the Sum class tests,
but there is still one part I'm not clear on.
In defining a summation, I would like to have the sum over an array of
symbols, indexed by an iterate.
For example, In
For concreteness, here is an example of one of my attempts:
from sympy import *
N = 5 # Number of data instances
HOnes = Matrix(ones((1,N)))
VOnes = Matrix(ones((N,1)))
# Allocate variational mean parameters and put in matrix
tau = []
for i in range(N):
tau.append(Symbol('tau_' +
