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• W47374145 abstract "We use a relatively recent nonlinear manifold learning technique (diffusion maps) to parameterize low dimensional attracting manifolds arising in the description of detailed chemical kinetics mechanisms. With no a priori knowledge about the shape and dimension of the manifold, such an approach provides a way of solving a reduced (and less stiff) set of equations in terms of automatically detected slow variables. Advantages as well as disadvantages of the approach are discussed" @default.
• W47374145 created "2016-06-24" @default.
• W47374145 creator A5048533952 @default.
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• W47374145 date "2013-01-01" @default.
• W47374145 modified "2023-09-26" @default.
• W47374145 title "A manifold learning approach to model reduction in combustion" @default.
• W47374145 cites W1918738515 @default.
• W47374145 hasPublicationYear "2013" @default.
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