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Advances in Numerical Methods for Hyperbolic Balance Laws and Related Problems / / edited by Giacomo Albi, Walter Boscheri, Mattia Zanella



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Autore: Albi Giacomo Visualizza persona
Titolo: Advances in Numerical Methods for Hyperbolic Balance Laws and Related Problems / / edited by Giacomo Albi, Walter Boscheri, Mattia Zanella Visualizza cluster
Pubblicazione: Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Edizione: 1st ed. 2023.
Descrizione fisica: 1 online resource (241 pages)
Disciplina: 004.0151
Soggetto topico: Computer science—Mathematics
Mathematics—Data processing
Neural networks (Computer science)
Mathematical Applications in Computer Science
Computational Mathematics and Numerical Analysis
Mathematical Models of Cognitive Processes and Neural Networks
Equacions diferencials no lineals
Equacions en derivades parcials
Solucions numèriques
Soggetto genere / forma: Llibres electrònics
Altri autori: BoscheriWalter  
ZanellaMattia  
Nota di contenuto: Chapter 1. Alessandro Alla, Peter M. Dower, Vincent Liu. A Tree Structure Approach to Reachability Analysis -- Chapter 2. Giulia Bertaglia. Asymptotic-preserving neural networks for hyperbolic systems with diffusive scaling -- Chapter 3. Felisia Angela Chiarello, Paola Goatin. A non-local system modeling bi-directional traffic flows -- Chapter 4. Armando Coco, Santina Chiara Stissi. Semi-implicit finite-difference methods for compressible gas dynamics with curved boundaries: a ghost-point approach -- Chapter 5. Elena Gaburro, Simone Chiocchetti. High-order arbitrary-Lagrangian-Eulerian schemes on crazy moving Voronoi meshes -- Chapter 6. Elisa Iacomini. Overview on uncertainty quantification in traffic models via intrusive method -- Chapter 7. Liu Liu. A study of multiscale kinetic models with uncertainties -- Chapter 8. Fiammetta Conforto, Giorgio Martalò. On the shock wave discontinuities in Grad hierarchy for a binary mixture of inert gases -- Chapter 9. Giuseppe Visconti, Silvia Tozza, Matteo Semplice, Gabriella Puppo. A conservative a[1]posteriori time-limiting procedure in Quinpi schemes -- Chapter 10. Yuhua Zhu. Applications of Fokker Planck equations in machine learning algorithms.
Sommario/riassunto: A broad range of phenomena in science and technology can be described by non-linear partial differential equations characterized by systems of conservation laws with source terms. Well known examples are hyperbolic systems with source terms, kinetic equations, and convection-reaction-diffusion equations. This book collects research advances in numerical methods for hyperbolic balance laws and kinetic equations together with related modelling aspects. All the contributions are based on the talks of the speakers of the Young Researchers’ Conference “Numerical Aspects of Hyperbolic Balance Laws and Related Problems”, hosted at the University of Verona, Italy, in December 2021.
Titolo autorizzato: Advances in Numerical Methods for Hyperbolic Balance Laws and Related Problems  Visualizza cluster
ISBN: 3-031-29875-6
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910728943803321
Lo trovi qui: Univ. Federico II
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Serie: SEMA SIMAI Springer Series, . 2199-305X ; ; 32