Question: Constrained Maximization to obtain analytical solutions

I am trying to maximize a concave function and I have 6 different parameters. I use the maximize command and establish the relevant constraints. The result I obtain is numerical, but I would like to have an analytical solution with one of these parameters being the dependent variable as a function of the others.


Can I use the maximize command or any other command that will give me an analytical solution instead of a numerical one?



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