I've been using Fmincon (SQP) for constrained gradient-based optimization, but have been doing so with finite-difference approximations to the nonlinear constraint gradients. I would like to improve the optimization procedure (with regard to optimality and feasibility) by providing analytical derivatives to a small set of nonlinear constraint gradients. Is this possible? If so, how do I tell Fmincon which nonlinear constraint gradients should be approximated by finite-differencing?
MATLAB: Specifying some but not all Nonlinear Constraint Gradients through Fmincon
fminconMATLABnonlinear constraint gradientsnonlinear constraintsoptimizationOptimization Toolbox
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