School of Mathematics

SIGEST paper to appear in SIAM review

Aretha Teckentrup's paper, A Hierarchical Multilevel Markov Chain Monte Carlo Algorithm with Applications to Uncertainty Quantification in Subsurface Flow. SIAM/ASA Journal on Uncertainty Quantification 3(1), 1075-1108, 2015,, has been chosen as the SIGEST paper to appear in the September 2019 issue of SIAM review.

SIGEST highlights a recent paper from one of SIAM's specialized research journals, chosen on the basis of exceptional interest to the entire SIAM community and revised and condensed as needed for greater accessibility. The award rotates through the SIAM journals, such that a paper is picked from a given journal approximately every four years.