Why does my code take so long to run?

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Abdullah
Abdullah on 27 Sep 2023
Answered: David Hill on 27 Sep 2023
So i have this optimization code here to figure out a multitude of scores and display them. I have been running the code for a little over 2 days now until I stopped it as I am unable to keep my laptop open for that amount of time. Also as a University student I need to utilize my computer for other things. I'll also mention I have no formal training in matlab(I'm a freshman). Basically I'm asking how to I optimize my code to make it run faster.
% Define the ranges and possible values for variables
a_values = 0:12;
b_values = [0, 10, 20];
c_values = 0:12;
d_values = [0, 10, 20];
e_values = [0, 1, 2];
f_values = 0:47;
h_values = 0:47;
i_values = 0:19;
j_values = [0, 1, 2];
l_values = [0, 1];
k_values = [0, 10, 20, 30];
% Initialize variables to store the highest and lowest Total Scores
highest_score = -inf;
lowest_score = inf;
% Initialize arrays to store Total Scores for all combinations
total_scores = [];
% Initialize arrays to store Autonomous, Teleop, and Endgame values
autonomous_values = [];
teleop_values = [];
endgame_values = [];
% Loop through all possible combinations of variables
for a = a_values
for b = b_values
for c = c_values
for d = d_values
for e = e_values
for f = f_values
for h = h_values
for i = i_values
for j = j_values
for l = l_values
for k = k_values
% Check the constraint
if a + c + f + h <= 47
% Calculate Autonomous, Teleop, Endgame
autonomous = (5*a + b) + 3*c + d + 5*e;
g = 0; % Initialize g to 0
% Determine g based on the condition
if f >= 5
g = 10;
end
if f >= 12
g = 20;
end
if f >= 29
g = 30;
end
teleop = (3*f + g) + h + 10*i;
endgame = 5*j + 20*l + k;
% Calculate Total Score
total_score = autonomous + teleop + endgame;
% Update the highest and lowest scores
if total_score > highest_score
highest_score = total_score;
end
if total_score < lowest_score
lowest_score = total_score;
end
% Store values for Autonomous, Teleop, Endgame
autonomous_values = [autonomous_values; autonomous];
teleop_values = [teleop_values; teleop];
endgame_values = [endgame_values; endgame];
% Store Total Score
total_scores = [total_scores; total_score];
end
end
end
end
end
end
end
end
end
end
end
end
% Display the highest and lowest scores
disp(['Highest Possible Score: ', num2str(highest_score)]);
disp(['Lowest Possible Score: ', num2str(lowest_score)]);
% Create a 4D plot
figure;
scatter3(autonomous_values, teleop_values, endgame_values, 10, total_scores, 'filled');
xlabel('Autonomous');
ylabel('Teleop');
zlabel('Endgame');
title('Total Score vs. Autonomous, Teleop, Endgame');
% Create tables for Autonomous, Teleop, and Endgame values and Total Scores
autonomous_table = table(autonomous_values, total_scores, 'VariableNames', {'Autonomous', 'TotalScore'});
teleop_table = table(teleop_values, total_scores, 'VariableNames', {'Teleop', 'TotalScore'});
endgame_table = table(endgame_values, total_scores, 'VariableNames', {'Endgame', 'TotalScore'});
% Display the tables
disp('Autonomous Values and Total Scores:');
disp(autonomous_table);
disp('Teleop Values and Total Scores:');
disp(teleop_table);
disp('Endgame Values and Total Scores:');
disp(endgame_table);
  4 Comments
Abdullah
Abdullah on 27 Sep 2023
@Stephen23 I wouldn't know, but I will look into that thank you
Torsten
Torsten on 27 Sep 2023
a_values = 0:12;
b_values = [0, 10, 20];
c_values = 0:12;
d_values = [0, 10, 20];
e_values = [0, 1, 2];
f_values = 0:47;
h_values = 0:47;
i_values = 0:19;
j_values = [0, 1, 2];
l_values = [0, 1];
k_values = [0, 10, 20, 30];
number_of_iterations = numel(a_values)*numel(b_values)*numel(c_values)*numel(d_values)*numel(e_values)*numel(f_values)*numel(h_values)*numel(i_values)*numel(j_values)*numel(k_values)*numel(l_values)
number_of_iterations = 5.0463e+09

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Answers (1)

David Hill
David Hill on 27 Sep 2023
You can use this code, but you will have to still split up f and h to have enough memory. Based on your ranges, the highest score is 495.
a_values = 0:12;
b_values = [0, 10, 20];
c_values = 0:12;
d_values = [0, 10, 20];
e_values = [0, 1, 2];
f_values = 31:39;%47
h_values = 0:20;%47
i_values = 0:19;
j_values = [0, 1, 2];
l_values = [0, 1];
k_values = [0, 10, 20, 30];
[a,c,f,h]=ndgrid(a_values,c_values,f_values,h_values);
T=a+c+f+h;
idx=T<=47;
a=a(idx);c=c(idx);f=f(idx);h=h(idx);
g=zeros(size(f));
g(f>=5)=10;
g(f>=12)=20;
g(f>=29)=30;
[b,d,e,i,j,l,k]=ndgrid(b_values,d_values,e_values,i_values,j_values,l_values,k_values);
b=b(:)';d=d(:)';e=e(:)';i=i(:)';j=j(:)';l=l(:)';k=k(:)';
autonomous = (5*a + b) + 3*c + d + 5*e;
teleop = (3*f + g) + h + 10*i;
endgame = 5*j + 20*l + k;
total_score = autonomous + teleop + endgame;
highest_score=max(total_score,[],'all')
highest_score = 495
lowest_score = min(total_score,[],'all');

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