Skip to main content
King Abdullah University of Science and Technology
Security Research Bearing Experimental Results
Security Research Bearing Experimental Results

Main navigation

  • Home
  • People
    • All Profiles
    • Principal Investigators
    • Research Scientists
    • Students
    • Alumni
    • Former Members
    • Visiting Scholars
  • Events
    • All Events
    • Events Calendar
  • News
  • Projects
  • Videos

Monte Carlo sampling

Multi Index Method

Mon, Jun 1 2015 - Wed, Jun 1 2016

Monte Carlo sampling

Multi index methods are based on Sparse Grid methods and utilize the extra mixed regularity between dimensions (spatial or stochastic) to reduce the work complexity of different methods. In fact, in some cases we may get the rate of work complexity that is independent of the number of dimensions.

Security Research Bearing Experimental Results (SeRBER)

Footer

  • A-Z Directory
    • All Content
    • Browse Related Sites
  • Site Management
    • Log in

© 2025 King Abdullah University of Science and Technology. All rights reserved. Privacy Notice