S.U.Ngueveu.Web

Sandra U. NGUEVEU

Maître de Conférences / Associate Professor

Summary

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PhD

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C.V.(28.01.2019)

JULIA package LinA

NEW !!!! Link to github : https://github.com/LICO-labs/LinA.jl :

How to cite : if you find LinA useful, please cite as follows : Julien Codsi, Sandra Ulrich Ngueveu and Bernard Gendron (2021). LinA: A faster approach to piecewise linear approximations using corridors and its application to mixed-integer optimization. LAAS report n° 21221, hal-03336003.

Link to pdf:

How to import the LinA package in julia:

Pkg.add https://github.com/LICO-labs/LinA.jl.git

add https://github.com/LICO-labs/LinA.jl.git

How to use (examples)

The output

Plotting the output

Related talks (these are talks without proceedings, please see section "how to cite" above to access the paper; If you find LinA useful, please cite the reference to that paper)

Piecewise linear approximation with a performance guarantee for solving MINLPs .
Journées de l'optimisation (JOPT), Mai 2019, HEC Montréal, Canada.
speaker : J. Codsi

Mixed Integer Optimization Using Piecewise Linear Function Fitting and JULIA-based library.
PGMO Days 2019, December 2019, Paris, France.
speaker : S.U. Ngueveu

Non necessarily continuous piecewise linear approximation with a performance guarantee : application to mixed integer optimization .
ROADEF 2020, February 2020, Montpellier, France.
speaker : S.U. Ngueveu

LinA: an opensource Julia-based package for piecewise linear approximation of continuous univariate functions with (dis-)continuous piecewise linear functions .
ROADEF 2021, April 2021, Mulhouse (online), France.
speaker : S.U. Ngueveu

Acknowledgments

PGMO

Toulouse INP

NSERC