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Introduction To Monte Carlo Methods For Transport And Diffusion Equations

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In this paper, the introduction to monte carlo methods for transport and diffusion equations is presented, where the authors show that people have looked numerous times for their chosen books like this introduction, but end up in malicious downloads, and instead they juggled with some infectious virus inside their laptop.
Abstract
Thank you very much for downloading introduction to monte carlo methods for transport and diffusion equations. Maybe you have knowledge that, people have look numerous times for their chosen books like this introduction to monte carlo methods for transport and diffusion equations, but end up in malicious downloads. Rather than enjoying a good book with a cup of coffee in the afternoon, instead they juggled with some infectious virus inside their laptop.

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Journal ArticleDOI

Introduction to vector quantization and its applications for numerics

Gilles Pagès
- 01 Jan 2015 - 
TL;DR: An introductory survey to optimal vector quantization and its first applications to Numerical Probability and, to a lesser extent to Information Theory and Data Mining is presented.
Journal ArticleDOI

Multi-scale simulations of particle acceleration in astrophysical systems

TL;DR: In this paper, the main physical processes at the heart of the production of a nonthermal distribution in both Newtonian and relativistic astrophysical flows, namely the first and second order Fermi acceleration processes, are reviewed.
Dissertation

On extended state-space constructions for Monte Carlo methods

Axel Finke
TL;DR: A generic importance-sampling framework is described which admits virtually all Monte Carlo methods, including smc and mcmc methods, as special cases and hierarchical combinations of different Monte Carlo schemes can be justified as repeated applications of this framework.

Introduction to optimal vector quantization and its applications for numerics

Gilles Pagès
TL;DR: An introductory survey to optimal vector quantization and its first applications to Numerical Probability and, to a lesser extent to Information Theory and Data Mining is presented.
Dissertation

On the Accuracy and Efficiency of the Direct Simulation Monte Carlo Method.

TL;DR: On the Accuracy and Efficiency of the Direct Simulation Monte Carlo Method by Cyril Galitzine.
References
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Journal ArticleDOI

Introduction to vector quantization and its applications for numerics

Gilles Pagès
- 01 Jan 2015 - 
TL;DR: An introductory survey to optimal vector quantization and its first applications to Numerical Probability and, to a lesser extent to Information Theory and Data Mining is presented.
Posted Content

Multi-scale simulations of particle acceleration in astrophysical systems

TL;DR: In this paper, the main physical processes at the heart of the production of a nonthermal distribution in both Newtonian and relativistic astrophysical flows, namely the first and second order Fermi acceleration processes, are reviewed.
Dissertation

On extended state-space constructions for Monte Carlo methods

Axel Finke
TL;DR: A generic importance-sampling framework is described which admits virtually all Monte Carlo methods, including smc and mcmc methods, as special cases and hierarchical combinations of different Monte Carlo schemes can be justified as repeated applications of this framework.

Introduction to optimal vector quantization and its applications for numerics

Gilles Pagès
TL;DR: An introductory survey to optimal vector quantization and its first applications to Numerical Probability and, to a lesser extent to Information Theory and Data Mining is presented.
Posted Content

On Existence of $L^2$-solutions of Coupled Boltzmann Continuous Slowing Down Transport Equation System

TL;DR: In this article, a coupled system of linear Boltzmann transport equations (BTE) and its Continuous Slowing Down Approximation (CSDA) is considered, which can be used to model the relevant transport of particles used e.g. in dose calculation in radiation therapy.