hi mathew,
1) what does it mean if a value is None? I.e., what is larger: None or 3?
Then first thing I would do is convert the None to a number.
2) Are your arrays integer arrays or double arrays?
It's much easier if they are doubles because then you could use
standard methods for NLP problems,
2009/5/7 Chris Colbert sccolb...@gmail.com:
This was really my first attempt at doing anything constructive with Cython.
It was actually unbelievably easy to work with. I think i spent less time
working on this, than I did trying to find an optimized solution using pure
numpy and python.
One
Dag Sverre Seljebotn wrote:
Stéfan van der Walt wrote:
2009/5/7 Chris Colbert sccolb...@gmail.com:
This was really my first attempt at doing anything constructive with Cython.
It was actually unbelievably easy to work with. I think i spent less time
working on this, than I did trying to find
David Huard wrote:
Hi Mathew,
You could use Newton's method to optimize for each vi sequentially. If
you have an expression for the jacobian, it's even better.
Here's the problem. Every time f is evaluated, it returns a set of
values. (a row in the matrix) But if we are trying to find the
Sebastian Walter wrote:
N optimization problems. This is very unusual! Typically the problem
at hand can be formulated as *one* optimization problem.
yes, this is really not so much an optimization problem as it is a
vectorization problem.
I am trying to avoid
1) Evaluate f over and over
Thanks Ken,
I was actually thinking about using caching while on my way into work.
Might work. Beats the heck out of using brute force. One other question
(maybe I should ask in another thread) what is the canonical method for
dealing with missing values?
Suppose f(x,y) returns None for some
What is the canonical method for
dealing with missing values?
Suppose f(x,y) returns None for some (x,y) pairs (unknown until
evaluation). I don't like the idea of setting the return to some small
value as this may create local maxima in the solution space.
So any of the scipy packages deal
suppose i have two arrays: n and t, both are 1-D arrays.
for each value in t, I need to use it to perform an element wise scalar
operation on every value in n and then sum the results into a single scalar
to be stored in the output array.
Is there any way to do this without the for loop like
unfortunately, the actual function being processes is not so simple, and
involves evaluating user functions input from the prompt as strings. So i
have no idea how to do it in Cython.
Let me look into this broadcasting.
Thanks Josef!
On Thu, May 7, 2009 at 12:56 PM, josef.p...@gmail.com wrote:
let me just post my code:
t is the time array and n is also an array.
For every value of time t, these operations are performed on the entire
array n. Then, n is summed to a scalar which represents the system response
at time t.
I would like to eliminate this for loop if possible.
Chris
On Thu, May 7, 2009 at 1:08 PM, Chris Colbert sccolb...@gmail.com wrote:
let me just post my code:
t is the time array and n is also an array.
For every value of time t, these operations are performed on the entire
array n. Then, n is summed to a scalar which represents the system response
its part of a larger program for designing PID controllers. This particular
function numerical calculates the inverse laplace transform using riemann
sums.
The exec statements, from what i gather, allow the follow eval statement to
be executed in the scope of numpy and its functions. I don't get
Hi,
LWN.net had a article on the development of Unladen Swallow that aims to
speed up CPython.
http://lwn.net/SubscriberLink/332038/675304c610f0e34a/
The project link is:
http://code.google.com/p/unladen-swallow/
At least on my Linux system, Numpy does run without any test failures.
It appears
On Thu, May 7, 2009 at 2:11 PM, Chris Colbert sccolb...@gmail.com wrote:
alright I got it working. Thanks!
This version is an astonishingly 1900x faster than my original
implementation which had two for loops. Both versions are below:
thanks again!
### new fast code
b = 4.7
the user of the program inputs the transform in a text field. So I have no
way of know the function apriori.
that doesn't mean I still couldn't throw the exec and eval commands into
another function just to clean things up.
Chris
On Thu, May 7, 2009 at 2:45 PM, josef.p...@gmail.com wrote:
On
On Thu, May 7, 2009 at 3:10 PM, Chris Colbert sccolb...@gmail.com wrote:
the user of the program inputs the transform in a text field. So I have no
way of know the function apriori.
that doesn't mean I still couldn't throw the exec and eval commands into
another function just to clean things
On Thu, May 7, 2009 at 3:39 PM, josef.p...@gmail.com wrote:
On Thu, May 7, 2009 at 3:10 PM, Chris Colbert sccolb...@gmail.com wrote:
the user of the program inputs the transform in a text field. So I have no
way of know the function apriori.
that doesn't mean I still couldn't throw the exec
that's essentially what the eval statement does.
On Thu, May 7, 2009 at 4:22 PM, josef.p...@gmail.com wrote:
On Thu, May 7, 2009 at 3:39 PM, josef.p...@gmail.com wrote:
On Thu, May 7, 2009 at 3:10 PM, Chris Colbert sccolb...@gmail.com
wrote:
the user of the program inputs the transform in
2009/5/7 Dag Sverre Seljebotn da...@student.matnat.uio.no
Stéfan van der Walt wrote:
2009/5/7 Chris Colbert sccolb...@gmail.com:
This was really my first attempt at doing anything constructive with
Cython.
It was actually unbelievably easy to work with. I think i spent less
time
after looking at it for a while, I don't see a way to easily speed it up
using pure numpy.
As a matter of fact, the behavior shown below is a little confusing. Using
fancy indexing, multiples of the same index are interpreted as a single call
to that index, probably this a for a reason that I
I've created an array of strings using something like
stringarray=self.karray.astype(|S8)
If the array value is a Nan I get 1.#QNAN in my string array.
For cosmetic reasons I'd like to change this to something else, e.g.
invalid or inactive.
My string array can be up to
On Thu, May 7, 2009 at 19:36, Brennan Williams
brennan.willi...@visualreservoir.com wrote:
I've created an array of strings using something like
stringarray=self.karray.astype(|S8)
If the array value is a Nan I get 1.#QNAN in my string array.
For cosmetic reasons I'd like
On Thu, May 7, 2009 at 5:36 PM, Brennan Williams
brennan.willi...@visualreservoir.com wrote:
I've created an array of strings using something like
stringarray=self.karray.astype(|S8)
If the array value is a Nan I get 1.#QNAN in my string array.
For cosmetic reasons I'd
Charles R Harris wrote:
On Thu, May 7, 2009 at 5:36 PM, Brennan Williams
brennan.willi...@visualreservoir.com
mailto:brennan.willi...@visualreservoir.com wrote:
I've created an array of strings using something like
stringarray=self.karray.astype(|S8)
If
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