I have the following equation: res = c1 * v_app * u_s + c2/v_app * sin(psi) * cos(beta) - psi_dot and I want to determine the constants c1 and c2 based on measurements such that the the sum of res² over all measurements reaches a minimum. I have vectors of v_app, u_s, psi, beta and psi_dot with a…

Re-express as a linear system Ac = b where c=[c_1, c_2] is a vector of the unknown coefficients, A is a 1000 \times 2 matrix whose columns are v_{app} u_s and \sin(\psi) \cos(\beta) /v_{app}, and b is the vector psi_dot. Then solve with c = A\b. That’ll get you a least-squares solution to the probl…

Simple optimizer?

Specific Domains Optimization (Mathematical)

ufechner7 October 25, 2024, 3:58pm 8

But isn’t LsqFit intended for non-linear models, and here we have a linear model?

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Simple optimizer?

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