update README file
This commit is contained in:
parent
e54cd1e1ef
commit
e136e00192
25
README.org
Normal file
25
README.org
Normal file
@ -0,0 +1,25 @@
|
||||
#+TITLE: Diffusion module
|
||||
|
||||
This is the according repository to the diffusion module we discussed earlier.
|
||||
With this readme I will document all my steps I've done and will do.
|
||||
|
||||
* Theory
|
||||
|
||||
- $\alpha$ - diffusion coefficient (dependent on species and direction(?))
|
||||
- $h=1/M$ : with $M^2 = [0,1]^2$ - grid divided into parts between 0 and 1
|
||||
(/spatial step/)
|
||||
- $k=T/N$ : with $N = [0,T]$ - time steps per iteration (/time step/)
|
||||
- coefficients of the given equation from the paper are:
|
||||
- $\alpha_xk/h^2$ in x direction
|
||||
- $\alpha_yk/h^2$ in y direction
|
||||
- $1+2*(\alpha_xk/h^2) + 2*(\alpha_xk/h^2)$ for the same grid cell with n+1
|
||||
time step
|
||||
|
||||
So as a conclusion: We get a system of equations to solve for $u$. Maybe use
|
||||
LU-Decomposition here. It is easy to implement, deterministic and also
|
||||
performant. Since each $u_j$ is dependent on $u_{j-1}$ this will be hard to
|
||||
parallelize but I will keep parallelization in mind.
|
||||
|
||||
Regarding the borders: I'm not quite sure what to do. Maybe it might be a good
|
||||
idea to use a simple gaussian kernel here to smooth those two columns and two
|
||||
lines.
|
||||
Loading…
x
Reference in New Issue
Block a user