Help Plotting Diffusion Equation in MatLab

2021 9 23
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更新时间：2021 9 23
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I am currently working on a diffusion distribution project for an engineering class. The class requires me to use MatLab for many of the problems, a program that I have minimal experience with. Currently, I am trying to figure out how to plot Fick's second law (equation C(x,t)=N*e^(-x^2/(4Dt))/sqrt(4piDt), where D and N are given constants.). I was wondering if someone would be able to teach me how to plot this function in MatLab or provide a template script to use. The final result should look similar like this:
I would appreciate any help or hints that someone could provide. Thank you very much, and have a nice day.

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Star Strider
Star Strider 2021-9-23
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Ran in:
One option is to stack them in the same axes —
x = linspace(-200, 200);
v = logspace(-2, 2, 10);
y = exp(-(x./v(:)).^2);
y = 10×100
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0001 0.0001 0.0003 0.0005 0.0009 0.0017 0.0029 0.0049 0.0183 0.0215 0.0251 0.0293 0.0341 0.0394 0.0455 0.0524 0.0601 0.0687 0.0783 0.0889 0.1007 0.1136 0.1278 0.1433 0.1601 0.1783 0.1979 0.2190 0.2416 0.2655 0.2910 0.3178 0.3459 0.3753 0.4059 0.4376 0.4702 0.5036
figure
plot(x, y)
grid
figure
plot(x, y+log(v(:)))
grid
Other options are subplot or stackedplot.
.

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