Caroline JAPHET

Maître de conférences  (Associate Professor)

Laboratoire Analyse, Géométrie & Applications
UMR CNRS 7539 – Département de Mathématiques
Université Paris 13
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
 (2017-2020)

ANR CINE-PARA (2015-2019)

ANR DEDALES (2014-2017)

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

ANR COMMA
(2006-2010)

MOMAS


Organisation

YM60 (2017)

CEMRACS 2016

JMA (2015)

SMAI-2013

DD21


:: Courses 2017 - 2018

Optimization - MACS 2 - An introduction to optimization theory.
Elementary Functional Analysis - L2 Mathématiques - function series, Fourier series.
Numerical Analysis - L3 Mathématiques - An introduction to more advances topics in numerical analysis.

 
:: Teaching Experience

 
Projects in applied mathematics and scientific computing
MACS1-2009 and MACS2-2009
MACS2-2016

Numerical Analysis - Licence L3 Mathématiques, engineers and MACS 1. 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).

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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