Trust-region constrained optimization

SLSQP is a quasi-Newton with nonlinear constraints, but it uses backtracking rather than a trust region if I recall correctly. MMA/CCSA supports nonlinear inequality constraints and has a form of trust region, but is not a quasi-Newton method.

I’m not sure why you care about whether it is a trust-region method specifically, rather than about what kind of problems it can solve?

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