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University of Cambridge > Talks.cam > Isaac Newton Institute Seminar Series > Quasi-Monte Carlo integration in uncertainty quantification of elliptic PDEs with log-Gaussian coefficients

## Quasi-Monte Carlo integration in uncertainty quantification of elliptic PDEs with log-Gaussian coefficientsAdd to your list(s) Download to your calendar using vCal - Lukas Herrmann (ETH Zürich)
- Tuesday 18 June 2019, 15:40-16:30
- Seminar Room 1, Newton Institute.
If you have a question about this talk, please contact INI IT. ASCW03 - Approximation, sampling, and compression in high dimensional problems Quasi-Monte Carlo (QMC) rules are suitable to overcome the curse of dimension in the numerical integration of high-dimensional integrands. This talk is part of the Isaac Newton Institute Seminar Series series. ## This talk is included in these lists:- All CMS events
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