Code
IGFE MAT 7006
Semestre
Fall
Domaine
Mathématiques
Programme
Master
Langue
Anglais/English
Crédits ECTS
6
Heures programmées
45
Charge de travail
90
Coordonnateur(s)
Département
- Réseaux et Services Multimédia Mobiles
Equipe pédagogique
Organisation
Cours/TD/TP/projet/examen : 45Acquis d'apprentissage
Acquiring notions of optimization in continuous, discrete or mixed spaces and their relationships with concrete applications.
Prérequis
Basic Calculus, Basic Algebra
Evaluation
continuous exam
written examination
Bibliographie
- Ahuja, R.K., Magnanti, T.L., Orlin, J.B.: Network Flows: Theory, Algorithms, and Applications. Pearson, 2013.
- Bertsekas, D.P.: Nonlinear Programming. Athena Scientific, 2016.
- Haykin, S.: Neural Networks : a comprehensive foundation, Second Edition, Prentice Hall International, 1999.
- Matousek, J., Gartner, B.: Understanding and Using Linear Programming. Springer, 2010.
- Nemhauser, G.L., Wolsey, L.A.: Integer and Combinatorial Optimization. Wiley, 1988.
- Rabiner, L., Juang, B.H.: Fundamentals of Speech Recognition, Prentice Hall Signal Processing Series, 1993.
- West, D.B.: Introduction to Graph Theory. Pearson, 2017.