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Article Dans Une Revue Journal of Optimization Theory and Applications Année : 2014

Convergence of non-smooth descent methods using the Kurdyka-\L ojasiewicz inequality.

Résumé

We investigate convergence of subgradient-oriented descent methods in non-smooth non-convex optimization. We prove convergence in the sense of subsequences for functions with a strict standard model, and we show that convergence to a single critical point may be guaranteed, if the strong Kurdyka-Łojasiewicz condition is added. We show by way of an example that the Kurdyka-Łojasiewicz inequality alone is not sufficient to prove convergence to critical points.
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Dates et versions

hal-01868363 , version 1 (05-09-2018)

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Dominikus Noll. Convergence of non-smooth descent methods using the Kurdyka-\L ojasiewicz inequality.. Journal of Optimization Theory and Applications, 2014, 160 (2), pp.553-572. ⟨10.1007/s10957-013-0391-8⟩. ⟨hal-01868363⟩
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