Riadh Omheni

Joined

April 2024

Names

Riadh Omheni (Preferred)

Emails

****@sas.com (Confirmed)

****@gmail.com (Confirmed)

Personal Links

Google Scholar

DBLP

Career & Education History

Researcher

SAS Institute Inc. (sas.com)

2016 – 2025

Postdoc

Ecole Nationale de l'Aviation Civile (enac.fr)

2015 – 2016

PhD student

Université de Limoges (unilim.fr)

2011 – 2014

Advisors, Relations & Conflicts

Coauthor

Joshua Griffin

2018 – 2025

Coworker

Wenwen Zhou

2016 – 2025

Coauthor

Jennifer Erway

2017 – 2020

Coauthor

Roummel Marcia

2017 – 2020

Postdoc Advisor

Sonia Cafieri

2014 – 2016

Postdoc Advisor

Frederic Messine

2014 – 2016

PhD Advisor

Paul Armand

2011 – 2014

Coauthor

Joël Benoist

2011 – 2014

Expertise

Support Vectors Machines

2018 – 2025

Nonlinear Optimization

2010 – 2025

Publications

A primal-dual modified log-barrier method for inequality constrained nonlinear optimization
Joshua D. Griffin, Riadh Omheni
- Optim. Lett. 2020
- Readers: Everyone
Trust-region algorithms for training responses: machine learning methods using indefinite Hessian approximations
Jennifer B. Erway, Joshua D. Griffin, Roummel F. Marcia, Riadh Omheni
- Optim. Methods Softw. 2020
- Readers: Everyone
Trust-Region Algorithms for Training Responses: Machine Learning Methods Using Indefinite Hessian Approximations
Jennifer B. Erway, Joshua D. Griffin, Roummel F. Marcia, Riadh Omheni
- CoRR 2018
- Readers: Everyone
Mixed-integer nonlinear programming for aircraft conflict avoidance by sequentially applying velocity and heading angle changes
Sonia Cafieri, Riadh Omheni
- Eur. J. Oper. Res. 2017
- Readers: Everyone
A Mixed Logarithmic Barrier-Augmented Lagrangian Method for Nonlinear Optimization
Paul Armand, Riadh Omheni
- J. Optim. Theory Appl. 2017
- Readers: Everyone
A globally and quadratically convergent primal-dual augmented Lagrangian algorithm for equality constrained optimization
Paul Armand, Riadh Omheni
- Optim. Methods Softw. 2017
- Readers: Everyone
Study of a primal-dual algorithm for equality constrained minimization
Paul Armand, Joël Benoist, Riadh Omheni, Vincent Pateloup
- Comput. Optim. Appl. 2014
- Readers: Everyone

Riadh Omheni

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

A primal-dual modified log-barrier method for inequality constrained nonlinear optimization

Trust-region algorithms for training responses: machine learning methods using indefinite Hessian approximations

Trust-Region Algorithms for Training Responses: Machine Learning Methods Using Indefinite Hessian Approximations

Mixed-integer nonlinear programming for aircraft conflict avoidance by sequentially applying velocity and heading angle changes

A Mixed Logarithmic Barrier-Augmented Lagrangian Method for Nonlinear Optimization

A globally and quadratically convergent primal-dual augmented Lagrangian algorithm for equality constrained optimization

Study of a primal-dual algorithm for equality constrained minimization

Co-Authors