[Reddit Cross Post] Filtering results with small divergence

Hello, I am currently working on a calculator for composite materials, due to the nature of composite materials, they have different mechanical properties regarding their respective angle when plied together. I am trying to filter the plies that have similar mechanical properties so I can extract them for my work. Example if Q1=100, Q2=100,1 Q3=100,5 Q4=200 Q5=205. The plies Q1,Q2,Q3 are similar and processing them in my further calculations creates an excessive computational strain that is not needed. How can I code the program to choose the Q3,Q4,Q5 values and discard the other ones? Any tip, video or anything else will be greatly appreciated. Thank you in advance!

Source: https://www.reddit.com/r/matlab/comments/1o5ylg7/filtering_results_with_small_divergence/

Answer 1

[Sam Chak]

Are you looking for something like this

% Case 1
Q   = [100 100 100 200 205];
Qu  = unique(Q)

Qu = 1×3

100 200 205

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or something like this?

% Case 2
rng('default')
objfun    = @(x) ((x - 100).*(x - 200).*(x - 205) + rand/1e4).^2;
options   = optimoptions(@ga,'PopulationSize', 30, 'MaxGenerations', 60, 'Display', 'off');

for i = 1:5
    xSol(i) = ga(objfun, 1, [], [], [], [], 0, 300, [], options);
end
disp(xSol)

  204.9955  204.9792   99.9858  199.9985  205.0545

Xsol  = [100, 200, 205];
for j = 1:numel(xSol)
    TF  = isapprox(xSol(j), Xsol, AbsoluteTolerance=2e-2);
    if sum(TF) == 1
        Q(j) = xSol(j);
    else
        Q(j) = 0;
    end
end

Q_solution = Q(Q ~= 0);
disp(Q_solution)

  204.9955   99.9858  199.9985

round(Q_solution)

ans = 1×3

205 100 200

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