TY - BOOK ID - 136289163 TI - Applied Mathematics and Computational Physics PY - 2021 PB - Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute DB - UniCat KW - radial basis functions KW - finite difference methods KW - traveling waves KW - non-uniform grids KW - chaotic oscillator KW - one-step method KW - multi-step method KW - computer arithmetic KW - FPGA KW - high strain rate impact KW - modeling and simulation KW - smoothed particle hydrodynamics KW - finite element analysis KW - hybrid nanofluid KW - heat transfer KW - non-isothermal KW - shrinking surface KW - MHD KW - radiation KW - multilayer perceptrons KW - quaternion neural networks KW - metaheuristic optimization KW - genetic algorithms KW - micropolar fluid KW - constricted channel KW - MHD pulsatile flow KW - strouhal number KW - flow pulsation parameter KW - multiple integral finite volume method KW - finite difference method KW - Rosenau-KdV KW - conservation KW - solvability KW - convergence KW - transmission electron microscopy (TEM) KW - convolutional neural networks (CNN) KW - anomaly detection KW - principal component analysis (PCA) KW - machine learning KW - deep learning KW - neural networks KW - Gallium-Arsenide (GaAs) KW - radiation-based flowmeter KW - two-phase flow KW - feature extraction KW - artificial intelligence KW - time domain KW - Boltzmann equation KW - collision integral KW - convolutional neural network KW - annular regime KW - scale layer-independent KW - petroleum pipeline KW - volume fraction KW - dual energy technique KW - prescribed heat flux KW - similarity solutions KW - dual solutions KW - stability analysis KW - RBF-FD KW - node sampling KW - lebesgue constant KW - complex regions KW - finite-difference methods KW - data assimilation KW - model order reduction KW - finite elements analysis KW - high dimensional data KW - welding UR - https://www.unicat.be/uniCat?func=search&query=sysid:136289163 AB - 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. ER -