Abstract
Consider a family C A of continuous functions f = f(x), x ∈ A ⊂ R m. Assume a possibility to evaluate f at any fixed point x n , n = 1,..., N, where N is the total number of observations.
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© 1997 Springer Science+Business Media Dordrecht
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Mockus, J., Eddy, W., Mockus, A., Mockus, L., Reklaitis, G. (1997). Bayesian Approach to Continuous Global and Stochastic Optimization. In: Bayesian Heuristic Approach to Discrete and Global Optimization. Nonconvex Optimization and Its Applications, vol 17. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-2627-5_4
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DOI: https://doi.org/10.1007/978-1-4757-2627-5_4
Publisher Name: Springer, Boston, MA
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