Yes, just the first. But I am still not familiar with the point of numerical 
simulations, I have bought a book on it, and read a few papers, but they all 
don't explain the core intention of numerical sims: 

If it is not to solve the PDE, what is the point of inserting a trial-function 
unless it has some analytical validity (thus analytical method is required 
anyway), and therefore what is the real gain of getting a plot of a numerical 
representation of the change of the solution during a given time frame? 

If there was an example as simple as "one box of apples of 24 apples times two 
makes 48 apples" to illustrate what we can get out of a numerical sim, that 
would be excellent. But also that is difficult to find, even on google. 

Thanks! 
Sergio 

Sergio Manzetti 

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[ http://www.fjordforsk.no/ | Fjordforsk AS ] [ http://www.fjordforsk.no/ |   ] 
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From: "jonathan guyer" <[email protected]> 
To: "fipy" <[email protected]> 
Sent: Tuesday, May 23, 2017 5:04:59 PM 
Subject: Re: Complex conjugates in FiPY 

Have you worked through the examples on our website and in our manual? 

> On May 23, 2017, at 9:58 AM, Sergio Manzetti <[email protected]> 
> wrote: 
> 
> Dear Jonathan. Thank your for this clarification. Can you recommend me a 
> tutorial or a paper of numerical simuation which shows the use of the 
> numerical output (plots or other data)? 
> 
> Thanks 
> 
> Sergio 
> 
> 
> Sergio Manzetti 
> 
> 
> 
> Fjordforsk AS 
> Midtun 
> 6894 Vangsnes 
> Norge 
> Org.nr. 911 659 654 
> Tlf: +47 57695621 
> Økolab | Nanofactory | AQ-Lab | FAP 
> 
> 
> From: "jonathan guyer" <[email protected]> 
> To: "fipy" <[email protected]> 
> Sent: Tuesday, May 23, 2017 3:34:51 PM 
> Subject: Re: Complex conjugates in FiPY 
> 
> > On May 23, 2017, at 8:05 AM, Sergio Manzetti 
> > <[email protected]> wrote: 
> > 
> > I am not sure what the script does, when one sets a phi value before the 
> > given PDE...when I thought that the phi value was found exactly by FipY? 
> 
> Setting phi before solving the PDE is setting the initial condition. FiPy is 
> designed to ***numerically*** solve time-evolving PDEs. 
> 
> 
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