Manifold learning for the emulation of spatial fields from computational models
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Publication:1674694
DOI10.1016/j.jcp.2016.07.040zbMath1373.68340OpenAlexW2510161586MaRDI QIDQ1674694
A. A. Shah, Prasanth B. Nair, V. Triantafyllidis, Nicholas Zabaras, Weiwei Xing
Publication date: 26 October 2017
Published in: Journal of Computational Physics (Search for Journal in Brave)
Full work available at URL: http://wrap.warwick.ac.uk/85674/1/WRAP_Shah_Manifold_learning.pdf
high dimensionalityinverse mappingmanifold learningdiffusion mapskernel PCAGaussian process emulationparameterized partial differential equations
Factor analysis and principal components; correspondence analysis (62H25) Gaussian processes (60G15) Learning and adaptive systems in artificial intelligence (68T05) Dependence of solutions to PDEs on initial and/or boundary data and/or on parameters of PDEs (35B30)
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