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Uncertainty Quantification for Kinetic Models in Socio–Economic and Life Sciences · Study

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ChapterUncertainty Quantification for Kinetic Models in Socio–Economic and Life Sciences

Giacomo Dimarco2017

OA

Chaptergreen2017

Uncertainty Quantification for Kinetic Models in Socio–Economic and Life Sciences

Giacomo Dimarco · Lorenzo Pareschi · Mattia Zanella

28 citations·0/0 files stored·SEMA SIMAI Springer series

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Probabilistic and Robust Engineering Design Gas Dynamics and Kinetic Theory Fuzzy Systems and Optimization

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References

2002The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations 2005High-Order Collocation Methods for Differential Equations with Random Inputs 2010Spectral Methods for Uncertainty Quantification 2010Spectral methods for uncertainty quantification : with applications to computational fluid dynamics 2005On a Kinetic Model for a Simple Market Economy 2008Uncertainty quantification for systems of conservation laws 20044 On a kinetic model for a simple market economy 2016Fokker–Planck equations in the modeling of socio-economic phenomena

Cited by

2021An Introduction to Uncertainty Quantification for Kinetic Equations and Related Problems 2019Monte Carlo gPC Methods for Diffusive Kinetic Flocking Models with Uncertainties 2020Multiscale Variance Reduction Methods Based on Multiple Control Variates for Kinetic Equations with Uncertainties 2019Uncertainty Quantification for Ti-7Al Alloy Microstructure with an Inverse Analytical Model (AUQLin)2022A bi-fidelity stochastic collocation method for transport equations with diffusive scaling and multi-dimensional random inputs

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Details

Year2017

Typechapter

Published2017-01-01

VenueSEMA SIMAI Springer series

ISSN-L2199-3041

Languageen

Citations28

Files0 public / 0

ShelfProbabilistic and Robust Engineering Design

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doi10.1007/978-3-319-67110-9_5

openalex_workW2628059463

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