Skip to main content
Computer, Electrical and Mathematical Sciences and Engineering
CEMSE
Computer, Electrical and Mathematical Sciences and Engineering
Home
Study
Prospective Students
Current Students
Internship Opportunities
Research
Research Overview
Research Areas
Research Groups
Programs
Applied Mathematics and Computational Science
Computer Science
Electrical and Computer Engineering
Statistics
People
All People
Faculty
Affiliate Faculty
Instructional Faculty
Research Scientists
Research Staff
Postdoctoral Fellows
Students
Alumni
Administrative Staff
News
Events
About
Who We Are
Leadership Team
Apply
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.