Sven Leyffer's Research

I am interested in the development of reliable methods for solving large-scale nonlinear optimization problems and in the implementation and analysis of filter type algorithms. This forms the basis from which I am extending nonlinear optimization methodologies to emerging areas such as mixed-integer nonlinear optimization and optimization problems with complementarity constraints.

Test Problem Libraries:

• Mixed Integer Nonlinear Programming (MINLP)
• Mathematical Programs with Equilibrium Constraints (MPEC)
• Equilibrium Problems with Equilibrium Constraints (EPEC)
• Multiobjective Optimization Testproblems (MOOP)

Software:

• Dundee solvers for MINLP/NLP/QP
• MINLP solver on the NEOS server
• NLP solver on the NEOS server
• TOMLAB/MINLP, Matlab solvers