Applied Mathematics and Computational Physics

• Autore: Wood Aihua
• Pubblicazione: Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
• Descrizione fisica: 1 online resource (273 p.)
• Soggetto topico: Mathematics & science; Research & information: general
• Soggetto non controllato: annular regime; anomaly detection; artificial intelligence; Boltzmann equation; chaotic oscillator; collision integral; complex regions; computer arithmetic; conservation; constricted channel; convergence; convolutional neural network; convolutional neural networks (CNN); data assimilation; deep learning; dual energy technique; dual solutions; feature extraction; finite difference method; finite difference methods; finite element analysis; finite elements analysis; finite-difference methods; flow pulsation parameter; FPGA; Gallium-Arsenide (GaAs); genetic algorithms; heat transfer; high dimensional data; high strain rate impact; hybrid nanofluid; lebesgue constant; machine learning; metaheuristic optimization; MHD; MHD pulsatile flow; micropolar fluid; model order reduction; modeling and simulation; multi-step method; multilayer perceptrons; multiple integral finite volume method; neural networks; node sampling; non-isothermal; non-uniform grids; one-step method; petroleum pipeline; prescribed heat flux; principal component analysis (PCA); quaternion neural networks; radial basis functions; radiation; radiation-based flowmeter; RBF-FD; Rosenau-KdV; scale layer-independent; shrinking surface; similarity solutions; smoothed particle hydrodynamics; solvability; stability analysis; strouhal number; time domain; transmission electron microscopy (TEM); traveling waves; two-phase flow; volume fraction; 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
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910557337303321
• Lo trovi qui: Univ. Federico II