Computational Mathematics, Algorithms, and Data Processing
Computational Mathematics, Algorithms, and Data Processing
English[eng]
interpolation||constraints||embedded constraints||generalized multiscale finite element method||multiscale model reduction||deep learning||Deep Neural Nets||ReLU Networks||Approximation Theory||radial basis functions||native spaces||truncated function||approximation||surface modeling||second order initial value problems||linear multistep methods||Obrechkoff schemes||trigonometrically fitted||Darcy-Forchheimer model||flow in porous media||nonlinear equation||heterogeneous media||finite element method||multiscale method||mixed generalized multiscale finite element method||multiscale basis functions||two-dimensional domain||Thiele-like rational interpolation continued fractions with parameters||unattainable point||inverse difference||virtual point||polynomial chaos||Szegő polynomials||directional statistics||Rogers-Szegő||state estimation||clustering
English[eng]
interpolation||constraints||embedded constraints||generalized multiscale finite element method||multiscale model reduction||deep learning||Deep Neural Nets||ReLU Networks||Approximation Theory||radial basis functions||native spaces||truncated function||approximation||surface modeling||second order initial value problems||linear multistep methods||Obrechkoff schemes||trigonometrically fitted||Darcy-Forchheimer model||flow in porous media||nonlinear equation||heterogeneous media||finite element method||multiscale method||mixed generalized multiscale finite element method||multiscale basis functions||two-dimensional domain||Thiele-like rational interpolation continued fractions with parameters||unattainable point||inverse difference||virtual point||polynomial chaos||Szegő polynomials||directional statistics||Rogers-Szegő||state estimation||clustering