Research Summaries

Back Some Issues on Optimization and Algorithms for Data Assimilation

Fiscal Year 2014
Division Graduate School of Engineering & Applied Science
Department Applied Mathematics
Investigator(s) Kang, Wei
Sponsor Naval Research Laboratory (Navy)
Summary The proposed research aims at three topics on the optimization theory and algorithms for several issues of data assimilation. (i) Find the relationship between observability, which is computed without a known truth and sensor data, and the sensitivity of observation impact; (ii) Explore numerical methods of data thinning for the purpose of reducing the data size data assimilation; (iii) Explore numerical methods of optimization and parallel algorithms that have significant potential for weak-constrained and long-time window data assimilation.
Keywords
Publications Publications, theses (not shown) and data repositories will be added to the portal record when information is available in FAIRS and brought back to the portal
Data Publications, theses (not shown) and data repositories will be added to the portal record when information is available in FAIRS and brought back to the portal