Thanks for the answer. Then how do I set this initial value

phi(x)=0 for x<0
phi(x)=1 for x>0

this an Heaviside function of course

for the diffusive problem

u_t=Du_xx

Ragards





2008/8/8 Jonathan Guyer <[EMAIL PROTECTED]>

>
>
> On Aug 8, 2008, at 1:05 PM, franck kalala wrote:
>
>  I am trying to solve the diffusive equation (u)_t=D(u)_xx with this
>> initial value
>> phi(x)=infinity for x>0 and ph(x)=1 for x>0
>>
>> how do i set infinity value in PYTHON?, fipy?
>>
>
> The literal answer to your question is:
>
>   >>> from fipy import numerix
>   >>> numerix.inf
>
> or
>
>   >>> from fipy import *
>   >>> inf
>
> This value is defined in the underlying NumPy library, however you should
> always use fipy.numerix, rather than numpy, when you are using FiPy.
>
>
> *** HOWEVER ***
>
> 1. This may not work on Windows. I believe that Windows does not
> consistently or reliably support IEEE NaN and Inf values, at least within
> Python.
>
> 2. Even if you manage to set this initial condition, it is guaranteed not
> to do anything meaningful. FiPy is a numerical PDE solver. While infinity
> has a precise mathematical definition, and a value with many of the
> appropriate numerical properties is defined in IEEE numerics, infinity is
> not generally a useful or meaningful value in a numerical context. If it
> doesn't fail even sooner, FiPy will calculate an infinite flux at x=0 as a
> result of this infinite gradient. The resulting solution matrix will almost
> certainly be singular or otherwise fail to solve.
>
> In short, "inf" is a sign that your solution has gone astray, not something
> you should be striving to represent.
>
>
>
>


-- 
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Franck Kalala Mutombo
[EMAIL PROTECTED]
African Institut for Mathematical Sciences, Muizenberg Cape Town, South
Africa
[EMAIL PROTECTED]
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