Monte Carlo methods for numerical integration

Activity: Talk or presentationContributed talkscience-to-science

Description

I present recent progress on the numerical integration of multivariate functions using randomized methods. In particular, I talk about the optimal order of such methods for functions with dominating mixed smoothness, and an algorithm that achieves this order. Moreover, I present preliminary results and numerical tests of an algorithm that can be implemented very efficiently, even in high dimensions.
Period22 Sept 2017
Event titleNew perspectives in the theory of function spaces and their applications, September 17-23, 2017, Bedlewo
Event typeConference
LocationPolandShow on map

Fields of science

  • 101002 Analysis
  • 101032 Functional analysis

JKU Focus areas

  • Computation in Informatics and Mathematics