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20182026
most citedTwo-phase approaches to optimal model-based design of experiments: how many experiments and which ones?

30 citations · 41 across the 11 of their papers we have counts for

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Showing 2018Show all

2 papers · 1 filter

math.NA2018★ 3 cited

Gradient Descent-based D-optimal Design for the Least-Squares Polynomial Approximation

V. P. Zankin, G. V. Ryzhakov, I. V. Oseledets

In this work, we propose a novel sampling method for Design of Experiments. This method allows to sample such input values of the parameters of a computational model for which the…

math.NA2018

Function approximation using gradient information with application to parametric and stochastic differential equations

Gleb Ryzhakov, Ivan Oseledets

In the paper we consider the problem of multivariate function approximation in polynomial basis. In order to solve this problem, we adjust the least squares method (LSM) by adding…