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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
    • Tutorials : -
    • Laboratory works : -
    • Projects : -
    • Internship : -
    • Written tests : -
    ECTS : 1.5
  • Officials : Arthur VIDARD

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.

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

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

N = exam

The exam is given in english only FR

Calendar

The course exists in the following branches:

    see the course schedule for 2020-2021

    Additional Information

    Course ID : 5MM25323
    Course language(s): FR

    The course is attached to the following structures:

    You can find this course among all other courses.

    Bibliography

    Documents and resources on the course webpage.

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    Date of update January 15, 2017

    Université Grenoble Alpes