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myMean = 2; % RV mean | |
myVariance = 3; % RV variance | |
myLength = 100; % Length of random vector | |
myOutput = myMean + sqrt(myVariance)*randn(1,myLength); |
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function myOutput = my_simulation_function(myMean, myVariance, myLength) | |
myOutput = myMean + sqrt(myVariance)*randn(1,myLength); |
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myMean = 2; % RV mean | |
myVariance = 3; % RV variance | |
myLength = 100; % Length of random vector | |
myOutput = my_simulation_function(myMean, myVariance, myLength); |
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function myOutput = my_simulation_function2(myMean, myVariance, myLength) | |
% Sample function that saves output to a custom file. | |
myOutput = myMean + sqrt(myVariance)*randn(1,myLength); | |
save(['my_simulation_output_mean_' num2str(myMean) '_var_' num2str(myVariance) '_length_' num2str(myLength)]); |
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myMean = -5:5; % RV mean | |
myVariance = 3; % RV variance | |
myLength = 100; % Length of random vector | |
for i = 1:length(myMean) | |
for j = 1:length(myVariance) | |
for k = 1:length(myLength) | |
my_simulation_function2(myMean(i), myVariance(j), myLength(k)); | |
end | |
end |
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% Plotting take 1 | |
x = 1e-2:1e-2:100; | |
% Smooth curves | |
y1 = exp(-x); | |
y2 = 1-exp(-x); | |
% Noisy curves | |
n = length(x); |
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% Plotting take 2 | |
x = 1e-2:1e-2:100; | |
% Smooth curves | |
y1 = exp(-x); | |
y2 = 1-exp(-x); | |
% Noisy curves | |
n = length(x); |
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% Plotting take 3 | |
x = 1e-2:1e-2:100; | |
% Smooth curves | |
y1 = exp(-x); | |
y2 = 1-exp(-x); | |
% Noisy curves | |
n = length(x); |
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% Plotting take 4 | |
numPlotPoints = 50; | |
x = 1e-2:1e-2:100; | |
% Smooth curves | |
y1 = exp(-x); | |
y2 = 1-exp(-x); |
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numPlotPoints = 50; | |
x = 1e-2:1e-2:100; | |
% Smooth curves | |
y1 = exp(-x); | |
y2 = 1-exp(-x); | |
% Noisy curves |
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