Computational Mathematics, Algorithms, and Data Processing

• Other Authors: Mortari, Daniele (Editor), Efendiev, Yalchin (Editor), Hanin, Boris (Editor)
• Format: Electronic Book Chapter
• Language: English
• Published: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2020
• Subjects: Research & information: general; Mathematics & science; 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
• Online Access: DOAB: download the publication; DOAB: description of the publication

Summary

"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.

Physical Description

1 electronic resource (172 p.)

ISBN

books978-3-03943-592-0
9783039435913
9783039435920

Access

Open Access