Caroline JAPHET

Maître de conférences Hors Classe (Associate Professor)

Laboratoire Analyse, Géométrie & Applications
UMR CNRS 7539 – Département de Mathématiques
Université Sorbonne Paris Nord
93430 Villetaneuse
FRANCE

Since May 2015, External collaborator in INRIA, SERENA Project
Sept. 2011 - May 2015, Associate member
in INRIA, POMDAPI Project
Sept. 2009 - Aug. 2011, Faculty visitor at CSCAMM

japhet@math.univ-paris13.fr

Home Publications Teaching 
   
Research Projects

ANR COCOA
 (2017-2021)

ANR CINE-PARA (2016-2021)

ANR DEDALES (2014-2017)

LEFE COCOA (2013-2015) (COupling Coast, Ocean, Atmosphere)

ANR COMMA
(2006-2010)

GDR MaNu


Organisation

CINE-PARA Day 2019

PINT2018

CINE-PARA Day 2018

YM60 (2017)

CEMRACS 2016

JMA (2015)

SMAI-2013

DD21


:: Responsibilities and Courses 2023 - 2024

Responsibilities : 1st year of MACS and L3MIM

Advanced Numerical Analysis 2 - MACS2 - Domain decomposition, parallel computation, preconditioning
Project in applied mathematics -
MACS2
Optimization
-
MACS1 - An introduction to optimization in 2D and 3D with examples
Ordinary differential equations - MACS1 - Numerical implementation
Numerical Methods
- L2 Mathématiques - An introduction to numerical analysis.


 
:: Teaching Experience

 
Projects in applied mathematics and scientific computing
MACS1 and
MACS2

Numerical Analysis  - MACS1 and L3 Mathématiques. An introduction to more advances topics in numerical analysis: numerical integration, interpolation and approximation, direct and iterative methods for solving linear systems, condition number, preconditionning, eigenvalue and eigenvector computations, fixed point iteration and Newton's method in 1D.

Optimization - Master M1 Mathématiques and MACS 2. An introduction to optimization theory (examples from real life problems, primal and Lagrangian dual problems, convex program, linear and quadratic programs) and Numerical Methods for unconstrained and constrained optimization (gradient methods, Newton methods, projection, Uzawa algorithm). 

Elementary Functional Analysis - L2 Mathématiques, function series, Fourier series.

Finite Element Methods - MACS 2 and Master 1 (Maîtrise) Mathématiques. An introduction to finite element methods (variational formulation, error estimates, discretization, assembly of stiffness matrices).

Numerical optimization - Maîtrise Economie et Finance. Numerical methods for optimization problems in financial economics, portfolio, applications with Matlab.

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Home Publications Teaching