Workshop on Mixed-Integer Nonlinear Programming

Mixed-Integer Nonlinear Programming (MINLP) is the study of optimization models which combine discrete and/or continuous variables with non-linear constraints and objectives. As special cases, the fields of mixed-integer linear programming (MILP) and purely continuous convex or local nonlinear optimization (NLP) are relatively well-developed fields. The ambitious goal of MINLP is to work towards a fusion of the methods for discrete (MILP) and continuous (NLP), thereby extending the theoretical advances and broad applied impact enjoyed by MILP and NLP.

The workshop will be held at Polytechnique Montréal in collaboration with a month-long program on Mixed Integer Nonlinear Programming from 7th to the 10th of October 2019 that is sponsored by the Centre de Recherches Mathématiques (CRM). This flyer contains more information about the month-long program. Register by 15th August.

more information is available here: