Local Convergence Analysis for Nonisolated Solutions to Derivative-Free Methods of Optimization

This paper provides a local convergence analysis for newly developed derivative-free methods in problems of smooth nonconvex optimization. We focus here on local convergence to local minimizers, which might be nonisolated and hence more challenging for convergence analysis. The main results provide efficient conditions for local convergence to arbitrary local minimizers under the fulfillment of the
Kurdyka-\L ojasiewicz property.

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