Optimization Employing Gaussian Process-Based Surrogates

Preuss, R.; Toussaint, U. von

doi:10.1007/978-3-319-91143-4_26

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Optimization Employing Gaussian Process-Based Surrogates

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Preuss, R.
Numerical Methods in Plasma Physics (NMPP), Max Planck Institute for Plasma Physics, Max Planck Society;

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Toussaint, U. von
Numerical Methods in Plasma Physics (NMPP), Max Planck Institute for Plasma Physics, Max Planck Society;

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https://doi.org/10.1007/978-3-319-91143-4_26
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Preuss, R., & Toussaint, U. v. (2018). Optimization Employing Gaussian Process-Based Surrogates. In A. Polpo (Ed.), Bayesian Inference and Maximum Entropy Methods in Science and Engineering (pp. 275-284). Cham: Springer.

Cite as: https://hdl.handle.net/21.11116/0000-0001-D553-1

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