: Linux-3.11.0-12-generic-x86_64-with-Ubuntu-13.10-saucy
python: 3.3.2+ (default, Oct 9 2013, 14:50:09) [GCC 4.8.1]
sympy: 0.7.4.1-git
numpy: 1.7.1
or
python: 2.7.5+ (default, Sep 19 2013, 13:48:49) [GCC 4.8.1]
On Tuesday, 7 January 2014 11:04:30 UTC+1, Janwillem van Dijk wrote:
I have
'
and the same for a variation without *
print('function value=', fx(X, a))
TypeError: lambda() missing 2 required positional arguments: 'a_0' and
'a_1'
So still all help and explanations welcome!
Cheers, Janwillem
On Tuesday, 7 January 2014 11:04:30 UTC+1, Janwillem van Dijk wrote:
I have a SymPy
'
Hope this helps to clearify the point.
Cheers, Janwillem
On Tuesday, 7 January 2014 11:04:30 UTC+1, Janwillem van Dijk wrote:
I have a SymPy script with a.o.
f_mean = lambdify([mu, sigma], mean, modules='numpy')
where mean is a function of mu and sigma and mu and sigma are both arrays
implemented feature?
Any help very welcome.heers,
Cheers, Janwillem
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the attributes 'positive' etc implemented; the distribution needs
that for the sigma. So I leave it to this for the moment.
The resulting beautified version is attached.
Cheers, Janwillem
On Saturday, 31 August 2013 05:04:16 UTC+2, Matthew wrote:
The first input to lambdify should be either a SymPy
) would be valid. Showing this both through equations an numbers.
Thanks again for paying attention, cheers, Janwillem
On Friday, 30 August 2013 06:00:21 UTC+2, Matthew wrote:
Is the following snippet of use?
In [1]: from sympy.stats import *
In [2]: n = 5
In [3]: mus = [Symbol('mu'+str(i
.
Cheers, Janwillem
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I realise that I have to give that more thought. Thanks for getting me
on track.
On Feb 8, 5:58 pm, Chris Smith smi...@gmail.com wrote:
On Wed, Feb 8, 2012 at 4:43 PM, janwillem jwevand...@xs4all.nl wrote:
Thanks Chris, I must confess I overlooked sympyfy, however, there is a
problem
] in string.letters:
f_tmp.write('%s = sympy.Symbol(%s)\n' % (s, s))
f_tmp.write(f)
f_tmp.close()
#import temp script
from sympy_symbols import *
print fx
dfdx = sympy.diff(fx, x)
print dfdx
Many thanks for any suggestions
janwillem
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with defining the symbols. Any additional
possibilities?
import sympy
s = '(signal - 1.01 * blank) / resp'
y = sympy.sympify(s)
print y
#only works when symbol resp is defined
resp = sympy.Symbol('resp')
dydresp = y.diff(resp)
print dydresp
thanks again, Janwillem
On Feb 8, 10:37 am, Chris Smith
Janwillem
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http
For getting J I already changed from diff to jacobean as you suggested
but doing the same a few lines further on with TrHC fails (the
commented version, TrHC is a scalar function of X and C).
Why can that be? And why is the syntax of hessian and jacobean so
different?
Thanks again, Janwillem
and after lambdify my script works like a charm.
Thanks, Janwillem
On May 4, 4:47 pm, b45ch1 sebastian.wal...@gmail.com wrote:
May I ask in what context you require the matrix derivatives.
Depending on what you are after an Algorithmic Differentiation (AD)
tool could also be a viable alternative
I have a function of a few variables that is the result of some
symbolic manipulations like differentiation and matrix operations. I
would like to do some Monte Carlo work on this to get the distribution
of the function result as a function of the distributions of the
inputs. However, the subs
pm, Sebastian basti...@gmail.com wrote:
On 04/28/2010 07:21 PM, janwillem wrote:
I have a function of a few variables that is the result of some
symbolic manipulations like differentiation and matrix operations. I
would like to do some Monte Carlo work on this to get the distribution
.
All the best, Janwillem
On Jun 25, 4:42 pm, cjkogan111 cjkogan...@gmail.com wrote:
Good idea Ondrej. I can motivate the creation of a general stat module
as a tool for a specific problem.
Clark
On Jun 24, 6:43 pm, Ondrej Certik ond...@certik.cz wrote:
On Wed, Jun 24, 2009 at 6:36 PM
sorry www.bipm.org
On Jun 25, 8:32 pm, janwillem jwevand...@xs4all.nl wrote:
I would think that a thesis project with a more hefty CAS aspect would
be inclusion in SymPy of methods for deriving distributions that are
functions of other distributions. I mean the techniques that are dealt
again,
Janwillem
On Jun 2, 7:26 pm, Ondrej Certik ond...@certik.cz wrote:
On Tue, Jun 2, 2009 at 3:16 AM, janwillem jwevand...@xs4all.nl wrote:
A few month ago I had a script that returned -
rho*sigma_f*sigma_n (without the quotes) which with sympy.latex print
a nice formula. Now, after
ugly in
latex. How do I get rid of this 1.00?
many thanks, janwillem
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