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Author

Juliane Müller

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Open access Aug 2026

Adaptive sampling-based bi-fidelity stochastic trust region method for stochastic derivative-free optimization

This paper proposes ASTRO-BFDF, an adaptive sampling trust-region method specifically designed for unconstrained bi-fidelity stochastic derivative-free optimization problems and proves that the iterates generated by ASTRO-BFDF converge to a first-order stationary point almost surely.

Yunsoo Ha, Juliane Müller · 0 citations

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