Is there any method to tune the regulation parameters to get a good optimization result? #1193
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Unclear what you are asking about as we already concluded you cannot solve this, so how can you talk about improving the results Also, the model is hilariously out of touch with reality. X is d x d where d = 2^n so it will have 2^2n elements, each taking 8 bytes, so in total 2^(2n+3) bytes to store a solution (and actually representing it using YALMIP symbolics is far worse). Let us assume you store it using memory swaps on a hard disk cluster where each harddisk takes 1 TB, i.e. 10^12 bytes. Let us assume they build 10^4 such disks per second and you buy them all. How long time will it take you to have bought sufficiently many hard disks, measured in ages of the universe? 2^(3+2 * 128)/(10^4 * 3600 * 24 * 365 * 13.7 * 10^9). We arrive at 2 * 10^56 ages of the universe... |
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Here are my codes, I really need help to tune the two regulation parameters tau1 and tau2 to let both re1 and re2 < 0.2, I have tried many many values, but still can’t get the optimal results of re1 and re2. Is there any method to search for proper regulation parameters?
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