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Advances in Numerical Methods for Hyperbolic Balance Laws and Related Problems

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Cover of 'Advances in Numerical Methods for Hyperbolic Balance Laws and Related Problems'

Table of Contents

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    Book Overview
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    Chapter 1 A Tree Structure Approach to Reachability Analysis
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    Chapter 2 Asymptotic-Preserving Neural Networks for Hyperbolic Systems with Diffusive Scaling
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    Chapter 3 A Non-local System Modeling Bi-directional Traffic Flows
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    Chapter 4 Semi-implicit Finite-Difference Methods for Compressible Gas Dynamics with Curved Boundaries: A Ghost-Point Approach
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    Chapter 5 High-Order Arbitrary-Lagrangian-Eulerian Schemes on  Crazy Moving Voronoi Meshes
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    Chapter 6 Overview on Uncertainty Quantification in Traffic Models via Intrusive Method
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    Chapter 7 A Study of Multiscale Kinetic Models with Uncertainties
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    Chapter 8 On the Shock Wave Discontinuities in Grad Hierarchy for a Binary Mixture of Inert Gases
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    Chapter 9 A Conservative a-Posteriori Time-Limiting Procedure in Quinpi Schemes
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    Chapter 10 Applications of Fokker Planck Equations in Machine Learning Algorithms
Attention for Chapter 7: A Study of Multiscale Kinetic Models with Uncertainties
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Chapter title
A Study of Multiscale Kinetic Models with Uncertainties
Chapter number 7
Book title
Advances in Numerical Methods for Hyperbolic Balance Laws and Related Problems
Published by
Springer, Cham, January 2023
DOI 10.1007/978-3-031-29875-2_7
Book ISBNs
978-3-03-129874-5, 978-3-03-129875-2
Authors

Liu, Liu

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