APM_5EN5A_TA at ENSTA-Paris

link to ENSTA course description

• link to tutorial : ampl and in python pyampl

• link to first TP exercice: Gradient Descent TP

• link to second TP exercice: Gradient Descent with Augmented Lagrangian

• link to second TP exercice: Gradient Descent with Augmented Lagrangian (correction)

• link to slides - part I : slides - part 1

• link to slides - part II : slides - part 2

• link to slides - part III : slides - part 3

• link to TP - part I: TP 1 The goal of this first TP is to know how to launch jupyter notebook, save a notebook, launch amplpy package, model an optimization problem and solve it

• link to TP - part I: TP 2

• Un corrigé d’exercice: Corrige

• Slides exercices en cours ici

• link to exercice 6 : exo 6

• link to exercice 7 : exo 7