Data assimilation: mathematics for merging models and data
Instantáneas de la actualidad matemática desde Oberwolfach
When you describe a physical process, for example, the weather on Earth, or an engineered system, such as a self-driving car, you typically have two sources of information. The first is a mathematical model, and the second is information obtained by collecting data. To make the best predictions for the weather, or most effectively operate the self-driving car, you want to use both sources of information. Data assimilation describes the mathematical, numerical and computational framework for doing just that.
Si estás interesado en traducir esta Instantánea, por favor contáctanos a firstname.lastname@example.org