COOKIES: By using this website you agree that we can place Google Analytics Cookies on your device for performance monitoring. |

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 info@newton.ac.uk. 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
- Featured lists
- INI info aggregator
- Isaac Newton Institute Seminar Series
- School of Physical Sciences
- Seminar Room 1, Newton Institute
- bld31
Note that ex-directory lists are not shown. |
## Other listsCPGJ - Culture, Politics and Global Justice Humanitas lectures HEP web page aggregator## Other talksMicroRNAs as circulating biomarkers in cancer Rhubarb Hour @ Biomedical Postdoc Centre (06/06) HONORARY FELLOWS LECTURE - Professor David Baulcombe FRS- title to be confirmed LMB Seminar Series - Kendrew Lecture - Title TBC Insect conservation: conserving the little things that run the world. Enabling high-dimensional uncertainty quantification for cardiac electrophysiology via multifidelity techniques |