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Informatique et Mathématiques appliquées
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Inverse methods and data assimilation - 5MM25323

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  • Number of hours

    • Lectures : 18.0
    ECTS : 1.5

Goals

This course is an introduction to data assimilation and inverse methods. Mathematical formulation and algorithms of the major methods are presented, as well as application examples.

Contact Elise ARNAUD

Content

A) content

1. introduction to data assimilation
2. mathematical tools (statistics, proba)
3. ingredients of data assimilation
4. Kalman filter
5. ensemble algorithms
6. methematical tools (differential calculus, optimisation)
7. variationnal approaches

B) practicals



Prerequisites

differential calculus, basic proba/stats, matrix theory, optimization, numerical analysis, partial differential equations

Tests

Semester 9 - The exam is given in english only 

  • final exam : oral + written report + practicals (TP)


N = exam

Additional Information

Semester 9 - This course is given in english only EN

Curriculum->Math. Modelling, Image & Simulation->Semester 9

Bibliography

Documents and resources on the course webpage.

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Date of update January 15, 2017

Grenoble INP Institut d'ingénierie Univ. Grenoble Alpes