Data assimilation: mathematics for merging models and data

Oberwolfach'tan

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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Matematiksel konular

Nümerik ve Hesap Analizi

Diğer alanlarla ilişkiler

Kimya ve Yer Bilimler
Fizik

Yazar(lar)

Matthias Morzfeld, Sebastian Reich

Lisans

DOI (Dijital nesne belirteci)

10.14760/SNAP-2018-011-EN

PDF indir

snapshots-2018-011.pdf

PDF

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Matematiksel konular

Cebir ve Sayılar Kuramı
Analiz
Eğitim ve Eğitim Bilimi
Ayrık Matematik ve Matematiğin Temelleri
Geometri ve Topoloji
Nümerik ve Hesap Analizi
Olasılık Kuramı ve İstatistik

Diğer alanlarla ilişkiler

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Bilgisayar Bilimeri
Mühendislik ve Teknoloji
Finans
Beşeri ve Sosyal Bilimler
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Fizik
Matematik Üzerine Düşünceler

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