Advanced algorithms for multidimensional sensitivity studies of large-scale air pollution models based on Sobol sequences

DOI10.1016/j.camwa.2012.07.005zbMath1319.65005OpenAlexW2010380803MaRDI QIDQ493394

Yong-Cai Geng, Sumit K. Garg

Publication date: 3 September 2015

Published in: Computers \& Mathematics with Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.camwa.2012.07.005

zbMATH Keywords

Monte Carlo methodmultidimensional integrationscrambled Sobol' sequencesSobol' sequences

Mathematics Subject Classification ID

Monte Carlo methods (65C05) Environmental economics (natural resource models, harvesting, pollution, etc.) (91B76) Numerical integration (65D30) Pseudo-random numbers; Monte Carlo methods (11K45)

Related Items (5)

A study of highly efficient stochastic sequences for multidimensional sensitivity analysis ⋮ Sensitivity analysis of an air pollution model with using innovative Monte Carlo methods in calculating multidimensional integrals ⋮ Optimized stochastic approaches based on Sobol quasirandom sequences for Fredholm integral equations of the second kind ⋮ An Overview of Lattice and Adaptive Approaches for Multidimensional Integrals ⋮ A new unbiased stochastic algorithm for solving linear Fredholm equations of the second kind

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