Brute force combination of two vectors. Yet, the combination only gets written in a matrix if it fulfils two constraints.
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I have two vectors:
L_1=[30:10:500];
L_2=[30:10:500];
and two values that are known:
a=250;
b=482;
These vectors are now of the same size, but this is not always the case. Thus, I would like to create a matrix (2 columns) that has every possible combination L_1,L_2 that fulfils the following constraints.
L_1< (a/theta_a); AND L_1< (b/theta_b);
The values theta_a and theta_b are calculated through on behalf of the values L_1 and L_2 with the following formula:
Theta_a=acosd((a^2+L_1^2-L_2^2)/(2*a*L_1);
Theta_b=acosd((b^2+L_1^2-L_2^2)/(2*b*L_1);
It would be great if the computational time can be reduced by an efficient script.
Thank you in advance.
1 Commento
Ameer Hamza
il 9 Mar 2020
For the values of L_1 and L_2, a and b you gave, the function acosd can return complex value. The domain of acosd is -1 to 1 for real-valued output. But the input of acosd
(a^2+L_1^2-L_2^2)/(2*a*L_1)
can take any value beyong -1 to 1. How will you do comparison in that case.
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