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Kanschat, Guido

Numerical Methods in Multidimensional Radiative Transfer

Kanschat, Guido - Numerical Methods in Multidimensional Radiative Transfer, ebook

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ISBN: 9783540853695
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Table of contents

1. Introduction: The Radiation Field and its Transfer Equation
Guido Kanschat, Erik Meinköhn, Rolf Rannacher, Rainer Wehrse

2. Stochastic Properties of the Radiative Transfer Equation
Wilhelm Waldenfels

3. An Approach to Neutrino Radiative Transfer in Supernova Simulations
Christian Y. Cardall

4. A Finite Element Method for the Even-Parity Radiative Transfer Equation Using the P

N
Approximation
Stephen Wright, Simon Arridge, Martin Schweiger

5. Solution of Radiative Transfer Problems with Finite Elements
Guido Kanschat

6. A General-Purpose Finite Element Method for 3D Radiative Transfer Problems
Erik Meinköhn

7. Radiative Transfer in 4D: The Inclusion of Kinematical Information
Maarten Baes

8. A Problem-Orientable Numerical Algorithm for Modeling Multi-Dimensional Radiative MHD Flows in Astrophysics – the Hierarchical Solution Scenario
A. Hujeirat

9. Rapidly-Converging Methods for Solving Multilevel Transfer Problems
Eugene H. Avrett

10. Radiative Transfer in NLTE Model Atmospheres
Jirí Kubát

11. The Solution of the Radiative Transfer Equation in Axial Symmetry
Daniela Korcáková, Jirí Kubát

12. Multidimensional Radiation Hydrodynamics
Wolfgang Kalkofen

13. Probing the Initial Conditions for Star Formation with Monte Carlo Radiative Transfer Simulations
Dimitris Stamatellos, Anthony P. Whitworth

14. Radiative Transfer Through the Intergalactic Medium
Avery Meiksin

15. Radiative Transfer with Finite Elements: Application to the Lya Emission of High-Redshift Galaxies
Sabine Richling

16. Radiative Transfer Problem in Dusty Galaxies: Ray-Tracing Approach
Dmitrij Semionov, Vladas Vansevicius

17. Shape Reconstruction for an Inverse Radiative Transfer Problem Arising in Medical Imaging
Oliver Dorn

Keywords: MATHEMATICS / General MAT000000

Author(s)
 
 
 
Publisher
Springer
Publication year
2009
Language
en
Edition
1
Category
Natural Sciences
Format
Ebook
eISBN (PDF)
9783540853695

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