Skip to main navigation
Skip to search
Skip to main content
UM Impact Home
Help & FAQ
Home
Profiles
Research units
Publications and Performances
Projects
Datasets
Prizes
Engagement
Search by expertise, name or affiliation
Large-scale kalman filtering using the limited memory BFGS method
H. Auvinen
,
J. M. Bardsley
, H. Haario
, T. Kauranne
Mathematical Sciences
Lappeenranta-Lahti University of Technology
Research output
:
Contribution to journal
›
Article
›
peer-review
13
Scopus citations
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Large-scale kalman filtering using the limited memory BFGS method'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Mathematics
Kalman Filtering
100%
BFGS
100%
Limited Memory
100%
Matrix
11%
Observation Space
11%
Filter Method
11%
Scale Problem
11%
Multiplication of Matrix
11%
Engineering
Kalman Filter
100%
Extended Kalman Filter
100%
Scale Problem
25%