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Inverse Problems and Data Assimilation

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Focused on inverse problems and data assimilation, this introduction serves advanced undergraduates and beginning graduate students in mathematical sciences. It also targets researchers in science and engineering interested in the methodologies relevant to their fields. The authors systematically explore these concepts, introducing an artificial algorithmic time to solve generic inverse problems. Key topics include various estimation and sampling methods, alongside practical examples and exercises, making it suitable for coursework and self-study.

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Inverse Problems and Data Assimilation, Armeen Taeb, Andrew Stuart, Daniel Sanz-Alonso

Lingua
Pubblicato
2023
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Lingua
Inglese
Pubblicato
2023
Formato
Copertina rigida
Pagine
221
ISBN13
9781009414326
Serie
Valutazione
5 su 5
Descrizione
Focused on inverse problems and data assimilation, this introduction serves advanced undergraduates and beginning graduate students in mathematical sciences. It also targets researchers in science and engineering interested in the methodologies relevant to their fields. The authors systematically explore these concepts, introducing an artificial algorithmic time to solve generic inverse problems. Key topics include various estimation and sampling methods, alongside practical examples and exercises, making it suitable for coursework and self-study.