Data assimilation: mathematics for merging models and data

Schnappschüsse moderner Mathematik aus Oberwolfach

Data assimilation: mathematics for merging models and data

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.

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Mathematisches Fachgebiet

Numerik und Wissenschaftliches Rechnen

Verbindung zu anderen Gebieten

Chemie und Geowissenschaft

Physik

Autor(en)

Matthias Morzfeld, Sebastian Reich

Lizenz

CC BY-SA-4.0

DOI (Digital Object Identifier)

10.14760/SNAP-2018-011-EN

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snapshots: overview

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Data assimilation: mathematics for merging models and data

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Topological recursion

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Solving quadratic equations in many variables

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Computational Optimal Transport

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Molecular quantum dynamics

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Aperiodic Order and Spectral Properties

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Profinite groups

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The ternary Goldbach Problem

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Mathematisches Fachgebiet

Algebra und Zahlentheorie

Analysis

Didaktik und Bildung

Diskrete Mathematik und Grundlagen

Geometrie und Topologie

Numerik und Wissenschaftliches Rechnen

Wahrscheinlichkeitstheorie und Statistik

Verbindung zu anderen Gebieten

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