Skip to main content
Computer Science
CS
Computer Science
Study
Prospective Students
Current Students
Research
Research Areas
Research Groups
People
All People
Faculty
Affiliate Faculty
Instructional Faculty
Research Scientists
Research Staff
Postdoctoral Fellows
Administrative Staff
Alumni
Students
News
Events
About
CEMSE Division
Apply
Kalman filter
Multilevel ensemble Kalman filtering
Thu, Jan 1
-
Mon, Jun 1 2015
Kalman filter
Filtering is a method for sequentially estimating the state of an evolving dynamical system in settings where only partial and possibly inaccurate measurements of the history of the state are available.
Manuscript accepted by Journal of Computational Physics
1 min read ·
Mon, Sep 5 2022
News
Monte Carlo
multilevel
Multi-index
Kalman filter
The manuscript entitled " Multi-index ensemble Kalman filtering" by Håkon A. Hoel, Gaukhar Shaimerdenova, and Raul Tempone has been accepted by the Journal of Computational Physics (JCP). The JCP is a bimonthly scientific journal covering original scientific contributions in advanced mathematical and numerical modeling reflecting a combination of concepts, methods, and principles of physics, mechanics, applied mathematics, statistics, applied geometry, computer science, chemistry, and other scientific disciplines as well. It was established in 1966 and is published by Elsevier. According to
