Applied Mathematics and Computational Physics

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Applied Mathematics and Computational Physics

As faster and more efficient numerical algorithms become available, the understanding of the physics and the mathematical foundation behind these new methods will play an increasingly important role. This Special Issue provides a platform for researchers from both academia and industry to present th...

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Wood, Aihua
Year of Publication:2021
Language:English
Physical Description:1 electronic resource (273 p.)
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spelling Wood, Aihua edt
Applied Mathematics and Computational Physics
Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
1 electronic resource (273 p.)
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
Open access Unrestricted online access star
As faster and more efficient numerical algorithms become available, the understanding of the physics and the mathematical foundation behind these new methods will play an increasingly important role. This Special Issue provides a platform for researchers from both academia and industry to present their novel computational methods that have engineering and physics applications.
English
Research & information: general bicssc
Mathematics & science bicssc
radial basis functions
finite difference methods
traveling waves
non-uniform grids
chaotic oscillator
one-step method
multi-step method
computer arithmetic
FPGA
high strain rate impact
modeling and simulation
smoothed particle hydrodynamics
finite element analysis
hybrid nanofluid
heat transfer
non-isothermal
shrinking surface
MHD
radiation
multilayer perceptrons
quaternion neural networks
metaheuristic optimization
genetic algorithms
micropolar fluid
constricted channel
MHD pulsatile flow
strouhal number
flow pulsation parameter
multiple integral finite volume method
finite difference method
Rosenau-KdV
conservation
solvability
convergence
transmission electron microscopy (TEM)
convolutional neural networks (CNN)
anomaly detection
principal component analysis (PCA)
machine learning
deep learning
neural networks
Gallium-Arsenide (GaAs)
radiation-based flowmeter
two-phase flow
feature extraction
artificial intelligence
time domain
Boltzmann equation
collision integral
convolutional neural network
annular regime
scale layer-independent
petroleum pipeline
volume fraction
dual energy technique
prescribed heat flux
similarity solutions
dual solutions
stability analysis
RBF-FD
node sampling
lebesgue constant
complex regions
finite-difference methods
data assimilation
model order reduction
finite elements analysis
high dimensional data
welding
3-0365-2305-7
3-0365-2306-5
Wood, Aihua oth
language English
format eBook
author2 Wood, Aihua
author_facet Wood, Aihua
author2_variant a w aw
author2_role Sonstige
title Applied Mathematics and Computational Physics
spellingShingle Applied Mathematics and Computational Physics
title_full Applied Mathematics and Computational Physics
title_fullStr Applied Mathematics and Computational Physics
title_full_unstemmed Applied Mathematics and Computational Physics
title_auth Applied Mathematics and Computational Physics
title_new Applied Mathematics and Computational Physics
title_sort applied mathematics and computational physics
publisher MDPI - Multidisciplinary Digital Publishing Institute
publishDate 2021
physical 1 electronic resource (273 p.)
isbn 3-0365-2305-7
3-0365-2306-5
illustrated Not Illustrated
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is_hierarchy_title Applied Mathematics and Computational Physics
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