I have a script in the R language which takes an equation of the following form, with inputs for the m, w, r, and q variables, and it then optimizes for the variable a using Levenberg-Marquardt optimization:

m = (((1+a*w)^5+5*a*r*q)^0.2-1)/a

I’m a bit lost as to how to implement this using Math.NET, I’ve looked at the LevenbergMarquardtMinimizer and the NonLinearCurveFittingsTests but I don’t really understand how to set up the model. Admittedly the math is a bit beyond me, but I would appreciate any help!