Towards an Automated Optimization of Laminated Composite Structures: Hierarchical Zoning Approach with Exact Blending Rules

D.T.Shvarts, F.V.Gubarev e-Print archive

Keywords: Optimization, Surrogate-Based Optimization, Approximation, Gaussian Processes, Composites

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Hausdorff Methods for Approximating the Convex Edgeworth–Pareto Hull in Integer Problems with Monotone Objectives

Pospelov A.I.

Computational Mathematics and Mathematical Physics

Keywords: Approximation, Optimization, Multi-Objective Optimization

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GTApprox: Surrogate Modeling for Industrial Design

Mikhail Belyaev, Evgeny Burnaev, Ermek Kapushev, Maxim Panov, Pavel Prikhodko, Dmitry Vetrov and Dmitry Yarotsky


Keywords: Optimization, Surrogate-Based Optimization, Approximation, Aerospace, Aerodynamics

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Surrogate Modeling of Multifidelity Data for Large Samples

E. V. Burnaev , A. A. Zaytsev

Journal of Communications Technology and Electronics

Keywords: Approximation, Data Fusion

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Finite Sample Bernstein – von Mises Theorem for Semiparametric Problems

Maxim Panov, Vladimir Spokoiny

Bayesian Analysis

Keywords: Approximation

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Adaptive Design of Experiments Based on Gaussian Processes

Evgeny Burnaev, Maxim Panov

Statistical Learning and Data Sciences

Keywords: Adaptive Design of Experiments, Approximation, Gaussian Processes

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Critical Dimension in the Semiparametric Bernstein von Mises Theorem

Maxim Panov, Vladimir Spokoiny

Proceedings of the Steklov Institute of Mathematics, 2014, Vol. 287, pp. 232–255

Keywords: Approximation

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