Computational Mathematics, Algorithms, and Data Processing

Download Url(s)
https://mdpi.com/books/pdfview/book/3186Contributor(s)
Mortari, Daniele (editor)
Efendiev, Yalchin (editor)
Hanin, Boris (editor)
Language
EnglishAbstract
“Computational Mathematics, Algorithms, and Data Processing” of MDPI consists of articles on new mathematical tools and numerical methods for computational problems. Topics covered include: numerical stability, interpolation, approximation, complexity, numerical linear algebra, differential equations (ordinary, partial), optimization, integral equations, systems of nonlinear equations, compression or distillation, and active learning.
Keywords
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; clusteringWebshop link
https://mdpi.com/books/pdfview ...ISBN
9783039435913, 9783039435920Publisher website
www.mdpi.com/booksPublication date and place
Basel, Switzerland, 2020Classification
Research and information: general
Mathematics and Science