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Applied Mathematics and Computational Physics



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Autore: Wood Aihua Visualizza persona
Titolo: Applied Mathematics and Computational Physics Visualizza cluster
Pubblicazione: Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica: 1 electronic resource (273 p.)
Soggetto topico: Research & information: general
Mathematics & science
Soggetto non controllato: 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
Persona (resp. second.): WoodAihua
Sommario/riassunto: 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.
Titolo autorizzato: Applied Mathematics and Computational Physics  Visualizza cluster
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910557337303321
Lo trovi qui: Univ. Federico II
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