A trust-region strategy for minimization on arbitrary domains. (English) Zbl 0835.90092

Summary: We present a trust-region method for minimizing a general differentiable function restricted to an arbitrary closed set. We prove a global convergence theorem. The trust-region method defines difficult subproblems that are solvable in some particular cases. We analyze in detail the case where the domain is an Euclidean ball. For this case we present numerical experiments where we consider different Hessian approximations.


90C30 Nonlinear programming
90-08 Computational methods for problems pertaining to operations research and mathematical programming


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