Tuesday, September 29, 2026, 9:00 - Friday, October 02, 2026, 15:00
Max-Kade-Auditorium 1, Bertoldstraße 17, 79098 Freiburg im Breisgau
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For registration, please complete this form.
Lecturers: Sven Leyffer (Argonne National Laboratory), Moritz Diehl (University of Freiburg), Andrea Ghezzi (University of Freiburg), Armin Nurkanović (University of Freiburg).
Exercises: Anton Pozharskiy and Andrea Ghezzi (University of Freiburg)
Contact person: Armin Nurkanović (armin.nurkanovic@imtek.uni-freiburg.de)
We are hosting a four-day PhD school on nonlinear mixed-integer and complementarity-constrained optimization. The main focus of the school is computational methods for solving mixed-integer nonlinear programs (MINLPs) and mathematical programs with complementarity constraints (MPCCs). The school covers the basics of the theory of nonlinear optimization, MINLPs, and MPCCs. We cover both classical algorithmic results, such as nonlinear branch-and-bound, outer approximation, regularization methods, active-set methods, and more, as well as the most recent developments for these problem classes. The school also presents modeling and formulation guidelines, discusses when it is preferable to use integer variables or complementarities for discrete and logical relations, and addresses practical aspects. In addition to the lectures, we will have interactive hands-on exercise sessions where participants apply these ideas to formulate and solve challenging optimization problems from various application fields.
Application fields and exercises. Nonlinear mixed-integer and complementarity optimization has a wide range of applications. For instance, integer decisions are ubiquitous in unit commitment problems. In an energy system with multiple producers, we must decide which generating units to use while respecting their operational conditions, such as startup times and minimum online and offline times. In topology design problems, we decide where to place material and how much to use.
Complementarity problems are also prevalent in engineering applications. Robotics problems involving frictional contact are one of the richest sources of such optimization problems. However, many other physical phenomena, such as phase changes and flow reversals, can also be conveniently expressed using complementarities.
Moreover, both complementarity and integer constraints can be used to express logical and conditional relations. For example, during spacecraft docking, specific constraints become active once the spacecraft is close to its target. Checkpoint and waypoint constraints in autonomous racing can be expressed similarly. Bilevel optimization, used for example in market design and portfolio optimization problems, can often be reformulated as an equivalent complementarity or mixed-integer problem.
During the exercises, we will consider several such applications and apply the methods introduced in the lectures to formulate and solve them. Participants will also have the opportunity to adapt a problem from their own research to this setting and present it to the audience.
Registration Open!
For registration, please complete this form.
Registration deadline: within August 31, 2026, until the limit of 50 participants is reached (first come first served).
Participation fee: 350 EUR.
The fee includes like coffee breaks during the event, and a dinner with the participants. Payments detail will be send by mail. Please note that the participation fee does not include accommodations or other travel expenses. There are plenty of hotels in Freiburg's old town, or outside the city with good public transportation connections. Participants are responsible for organizing their own stay.
Cancellation policy: no refund possible.
Please note that your registration will be considered complete only after we have received your payment. You will receive bank transfer details via email shortly after submitting your registration form. As registrations are processed manually, please allow some time before receiving your confirmation email.
Locations:
Freiburg mobility services:
Freiburg has a reliable tram services and many bike roads.