Výsledky vyhledávání - "G. Constantine"

Akademický článek

Geographic Translocation of Bats: Known and Potential Problems

Autor: Denny G. Constantine

Publikováno v: Emerging Infectious Diseases, Vol 9, Iss 1, Pp 17-21 (2003)

Natural, accidental, and intentional translocation of bats, both intra- and intercontinentally, has been documented. Some bats have been translocated while incubating infectious diseases, including rabies or related lyssavirus infections; others have

Externí odkaz: https://doaj.org/article/70a31c3d4d0443e3b1997b1e36b8b02a

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Inverse regression for ridge recovery: a data-driven approach for parameter reduction in computer experiments

Autor: R. Dennis Cook, Paul G. Constantine, Andrew Glaws

Publikováno v: Statistics and Computing. 30:237-253

Parameter reduction can enable otherwise infeasible design and uncertainty studies with modern computational science models that contain several input parameters. In statistical regression, techniques for sufficient dimension reduction (SDR) use data

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e7bca74ec761431a47336b6f5758e2f2
https://doi.org/10.1007/s11222-019-09876-y

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Gaussian Quadrature and Polynomial Approximation for One-Dimensional Ridge Functions

Autor: Paul G. Constantine, Andrew Glaws

Publikováno v: SIAM Journal on Scientific Computing. 41:S106-S128

Many of the input-parameter-to-output-quantity-of-interest maps that arise in computational science admit a surprising low-dimensional structure, where the outputs vary primarily along a handful of...

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::711341ee7a4c3ddc563721377ba864bc
https://doi.org/10.1137/18m1194894

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Forward and backward uncertainty quantification with active subspaces: application to hypersonic flows around a cylinder

Autor: Andrea Cortesi, Pietro Marco Congedo, Paul G. Constantine, Thierry Magin

Publikováno v: Journal of Computational Physics
Journal of Computational Physics, Elsevier, 2020, 407, pp.109079. ⟨10.1016/j.jcp.2019.109079⟩
Journal of Computational Physics, 2020, 407, pp.109079. ⟨10.1016/j.jcp.2019.109079⟩

International audience; We perform a Bayesian calibration of the freestream velocity and density starting from measurements of the pressure and heat flux at the stagnation point of a hypersonic high-enthalpy flow around a cylinder. The objective is t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d85cba1beace9a216b8ff4aa304397b8
https://hal.inria.fr/hal-03052824

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Characterization of Elastic Modulus Across the (Al1– x Sc x )N System Using DFT and Substrate-Effect-Corrected Nanoindentation

Autor: Yachao Chen, Dong Wu, Sukriti Manna, Geoff L. Brennecka, Cristian V. Ciobanu, Paul G. Constantine, Andriy Zakutayev, Corinne E. Packard, Kevin R. Talley

Publikováno v: IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control. 65:2167-2175

Knowledge of accurate values of elastic modulus of (Al1– x Sc x )N is required for design of piezoelectric resonators and related devices. Thin films of (Al1– x Sc x )N across the entire composition space are deposited and characterized. Accuracy

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6a0b2c99a43f2e51fe899deb2ef0799d
https://doi.org/10.1109/tuffc.2018.2862240

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Gauss–Christoffel quadrature for inverse regression: applications to computer experiments

Autor: Andrew Glaws, Paul G. Constantine

Publikováno v: Statistics and Computing. 29:429-447

Sufficient dimension reduction (SDR) provides a framework for reducing the predictor space dimension in statistical regression problems. We consider SDR in the context of dimension reduction for deterministic functions of several variables such as th

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ff612acb2978f140cf1a53cc179b3479
https://doi.org/10.1007/s11222-018-9816-4

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Active Subspaces of Airfoil Shape Parameterizations

Autor: Zachary J. Grey, Paul G. Constantine

Publikováno v: AIAA Journal. 56:2003-2017

Design and optimization benefit from understanding the dependence of a quantity of interest (e.g., a design objective or constraint function) on the design variables. A low-dimensional active subspace, when present, identifies important directions in

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d2ab44aeedccb3176fdfd589dcf36c5e
https://doi.org/10.2514/1.j056054

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Data-Driven Polynomial Ridge Approximation Using Variable Projection

Autor: Jeffrey M. Hokanson, Paul G. Constantine

Publikováno v: SIAM Journal on Scientific Computing. 40:A1566-A1589

Inexpensive surrogates are useful for reducing the cost of science and engineering studies involving large-scale, complex computational models with many input parameters. A ridge approximation is one class of surrogate that models a quantity of inter

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::08a9e20e3b13ed7c7982b88028fa4c39
https://doi.org/10.1137/17m1117690

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