Computational Mathematics, Algorithms, and Data Processing

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, differentia...

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Bibliographic Details
Format: eBook
Language:English
Published: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2020
Subjects:
Mathematics and Science
Research and information: general
approximation
Approximation Theory
clustering
constraints
Darcy-Forchheimer model
deep learning
Deep Neural Nets
directional statistics
embedded constraints
finite element method
flow in porous media
generalized multiscale finite element method
heterogeneous media
interpolation
inverse difference
linear multistep methods
mixed generalized multiscale finite element method
multiscale basis functions
multiscale method
multiscale model reduction
native spaces
nonlinear equation
Obrechkoff schemes
polynomial chaos
radial basis functions
ReLU Networks
Rogers-Szegő
second order initial value problems
state estimation
surface modeling
Szegő polynomials
Thiele-like rational interpolation continued fractions with parameters
trigonometrically fitted
truncated function
two-dimensional domain
unattainable point
virtual point
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Open Access: DOAB: description of the publication
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