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Solving partial differential equations and Evolutionary Diffusion Optimization (EDO) algorithms

  • Component

    École Nationale Supérieure d'Électrotechnique d'Électronique d'Informatique d'Hydraulique et des Télécommunications

  • Semester

    Printemps

Objectives

By the end of this course, students will have learned the basics of solving partial differential equations using the finite difference method.

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Description

In this course, students will study
- Elliptic equations
Discretization and solution of the equation in 1D.  
Study of consistency, stability, and convergence in 1D.
- Parabolic equations 
 Discretization and solution, stability, consistency, and convergence. 
 Explicit, implicit, Richardson, and Crank-Nicolson schemes.
- Introduction to hyperbolic equations  
Presentation of a discretization and some of its properties.
Examples will be taken from the EEEA department (PN junction, electromagnetism, etc.).

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