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Computational Mathematics, Algorithms, and Data Processing

“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 equation...

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Salvato in:
Natura: Online
Lingua:inglese
Pubblicazione: MDPI - Multidisciplinary Digital Publishing Institute 2021
Soggetti:
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
thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
thema EDItEUR::P Mathematics and Science
Accesso online:ONIX_20210501_9783039435913_1139
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Riassunto:“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.

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