Nonlinear analysis and PDE

Explore the programs and courses offered by Nonlinear analysis and PDE

Browse Programs Admission Information

Program Overview

Semester 01:

Functional analysis method

Optimization

Statistics

Complex analysis methods

Teaching and research techniques

English

 

Semester 02:

PDEs and numerical analysis of PDEs

Continuum mechanics

Modeling

Stochastic modeling

Teaching and research techniques 

Semester 03:

Methods for solving nonlinear boundary problems

Non-linear evolution problems

Semi-group theory and applications to PDEs

Control for non-linear problems

Teaching and research techniques

Technical English

Semester 04:

Internship in a research laboratory or company, culminating in a thesis and defense.

Teaching Language : French and English

Curriculum Highlights

Core Courses

· Study of functional spaces, Banach’s theorem, linear operators, convergence in Banach spaces.

· Introduction to linear and nonlinear PDEs, method of separation of variables, fundamental solutions of PDEs.

· Numerical methods for solving PDEs, approximation errors, finite difference and finite element methods.

· Foundations of probability, random variables, estimation, confidence intervals, hypothesis testing.

· Introduction to scientific research, structuring a research project, writing a thesis or dissertation.

Advanced Topics

· Study of nonlinear equations, fixed-point theorems, bifurcation and stability theories.

· Functional tools for the analysis of parabolic and hyperbolic problems.

· Galerkin methods, finite element methods, implicit/explicit schemes for nonlinear PDEs.

· Stochastic processes, stochastic differential equations, numerical simulations.

· Optimal control theory, controllability, constrained problems.

· Evolution equations, weak and strong solutions, long-term behavior.

Admissions Information

The current application of Articles 171 and 1023 of Decrees:

v  Skills and knowledge acquisition are assessed every six months through continuous assessment and a final exam.

v  Progress from the first to the second year is automatic if the student has completed the first two semesters of the training program.

v  The student's assessment focuses on, depending on the training program: lectures, practical work, tutorials, and practical internships.

 


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