Jin, Shi
Uncertainty Quantification for Hyperbolic and Kinetic Equations
1. The Stochastic Finite Volume Method
Rémi Abgrall, Svetlana Tokareva
2. Uncertainty Modeling and Propagation in Linear Kinetic Equations
Guillaume Bal, Wenjia Jing, Olivier Pinaud
3. Numerical Methods for High-Dimensional Kinetic Equations
Heyrim Cho, Daniele Venturi, George Em Karniadakis
4. From Uncertainty Propagation in Transport Equations to Kinetic Polynomials
Bruno Després
5. Uncertainty Quantification for Kinetic Models in Socio–Economic and Life Sciences
Giacomo Dimarco, Lorenzo Pareschi, Mattia Zanella
6. Uncertainty Quantification for Kinetic Equations
Jingwei Hu, Shi Jin
7. Monte-Carlo Finite-Volume Methods in Uncertainty Quantification for Hyperbolic Conservation Laws
Siddhartha Mishra, Christoph Schwab
Nyckelord: Mathematics, Partial Differential Equations, Computational Mathematics and Numerical Analysis, Mathematical and Computational Engineering, Numerical and Computational Physics, Simulation, Mathematics in the Humanities and Social Sciences
- Utgivare
- Jin, Shi
- Pareschi, Lorenzo
- Utgivare
- Springer
- Utgivningsår
- 2017
- Språk
- en
- Utgåva
- 1
- Serie
- SEMA SIMAI Springer Series
- Sidantal
- 9 sidor
- Kategori
- Naturvetenskaper
- Format
- E-bok
- eISBN (PDF)
- 9783319671109
- Tryckt ISBN
- 978-3-319-67109-3