Dynamic Data Assimilation : : Beating the Uncertainties / / edited by Dinesh G. Harkut.
Data assimilation is a process of fusing data with a model for the singular purpose of estimating unknown variables. It can be used, for example, to predict the evolution of the atmosphere at a given point and time. This book examines data assimilation methods including Kalman filtering, artificial...
Saved in:
TeilnehmendeR: | |
---|---|
Place / Publishing House: | London : : IntechOpen,, 2020. |
Year of Publication: | 2020 |
Language: | English |
Physical Description: | 1 online resource (118 pages) :; illustrations |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Dynamic Data Assimilation : : Beating the Uncertainties / / edited by Dinesh G. Harkut.
by: Harkut, Dinesh G.
Published: (2020) -
Static and dynamic crack propagation in brittle materials with XFEM / / Wagner, Fleming, Petri.
by: Wagner,
Published: (2013.) -
System- and Data-Driven Methods and Algorithms / / edited by Peter Benner [and five others].
Published: ([2021]) -
Mathematical Modelling and Machine Learning Methods for Bioinformatics and Data Science Applications / / Monica Bianchini, Maria Lucia Sampoli, editor.
Published: (2022.) -
Advanced Mathematical Methods : : Theory and Applications / / edited by Andrea Giusti, Francesco Mainardi.
Published: (2020.)