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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 10: Applications of Fokker Planck Equations in Machine Learning Algorithms
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Chapter title
Applications of Fokker Planck Equations in Machine Learning Algorithms
Chapter number 10
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_10
Book ISBNs
978-3-03-129874-5, 978-3-03-129875-2
Authors

Zhu, Yuhua

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