https://matlabhelper.com/blog/matlab/nonlinear-constrained-optimization-using-matlabs-fmincon/
Nonlinear constrained optimization using MATLAB’s fmincon
Since most practical engineering design problems are nonlinear, applying nonlinear programming techniques is paramount. This blog applies both graphical and numerical methods to obtain the optimal solution. The focus here will be on optimization using the advanced sequential quadratic programming (SQP) algorithm of MATLAB's fmincon solver. The theory behind Karush-Kuhn-Tucker's conditions for optimality in the cases of equality and inequality constraints is discussed.
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