Mathematical optimization is the area of applied mathematics that includes the analysis and development of methods and algorithms that find the best, or optimal, solution from a set of alternatives. Optimization has applications in many real-world engineering and scientific problems.
Sven is interested in the development, implementation, and analysis of reliable methods for solving large-scale nonlinearly constrained optimization problems. This work forms the basis from which he is extending nonlinear optimization methodologies to emerging areas such as mixed-integer nonlinear optimization and optimization problems with complementarity constraints.
In addition to his duties at Argonne, Sven is also an adjunct professor of electrical engineering and computer science at Northwestern University.