7 ビュー (過去 30 日間)
Benjamin 2018 年 11 月 20 日
コメント済み: Miriam 2018 年 11 月 20 日
I took a derivative of a derivative using the gradient method. I then applied the del2 operator to take the second derivative directly. For some reason, the second derivative calculated by taking gradient twice does not at all match that of the del2 operator. The gradient of a gradient method seems to be correct, and the del2 operator just shows a continuously decreasing function (which is wrong). Could anyone take a look at my code and figure out what I am doing wrong with the del2 operator? I also have attached ex.txt so that you can directly compute everything that I am seeing. I also attached the figure that is produced. You can see that the graph on the left (gradient of a gradient) is very different than the del2 method (right graph)
filename = 'ex.txt';
delimiterIn = ' ';
% Import the data file for post-processing
A = matrix.data;
A = A(:,1:3);
%Define the number of distinct isotherms
temp_ids = sum(A(:) == 0.2);
%Define the number of density points sampled
density_ids = length(A)/temp_ids;
%Grab density matrix
density = A((1:density_ids),1);
%Grab temperature matrix
pressure = A(:,3);
%Reshape temperature matrix so it has one column for each temperature
%(isotherm), rather than just a single long column
pressure = reshape(pressure,[density_ids,temp_ids]);
%Differentiate
ddPddD_del2 = 4 *del2(pressure, mean(diff(density)));
subplot(1,2,1)
grid on;
xlim([0.4 0.8])
xlabel('\rho (g/cm^3)');
ylabel('\partial^2p/\partial\rho^2')
subplot(1,2,2)
plot(density, ddPddD_del2)
grid on;
xlim([0.4 0.8])
xlabel('\rho (g/cm^3)');
ylabel('\partial^2p/\partial\rho^2')
temperature = 100:5:300;
density_spacing = density(2,1) - density(1,1);

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### 採用された回答

Miriam 2018 年 11 月 20 日
With your gradient method you are only taking the derivative along the y dimension, wheras the del2 operator approximates Laplace's differential operator:
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Miriam 2018 年 11 月 20 日
I would check out this answer and the documentation on the two functions.

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