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• W2337951958 startingPage "383" @default.
• W2337951958 abstract "A homogeneous isotropic Gaussian random field is accepted as a statistical model of objective functions, aiming to construct global optimization algorithms. The asymptotic of the conditional mean and variance is considered, assuming that the random field values are known at the vertices of a simplex, and that the latter is contracting. The obtained result theoretically substantiates the construction of the recently proposed bi-variate global optimization algorithm, which arouses interest due to good performance in testing experiments and the established convergence rate. The obtained result also enhances motivation to extend the aforementioned algorithm to higher dimensions." @default.
• W2337951958 created "2016-06-24" @default.
• W2337951958 creator A5031212834 @default.
• W2337951958 creator A5057964478 @default.
• W2337951958 date "2015-01-01" @default.
• W2337951958 modified "2023-10-06" @default.
• W2337951958 title "On an Asymptotic Property of a Simplicial Statistical Model of Global Optimization" @default.
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• W2337951958 doi "https://doi.org/10.1007/978-3-319-18567-5_20" @default.
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