Sven Leyffer
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.
Awards, Honors & Memberships
- Fellow, Society for Industrial and Applied Mathematics (SIAM)
- Member SIAM and Mathematical Optimization Society
- SIAM Vice President for Programs, 2010-2013
- Editor-in-Chief of Mathematical Methods of Operations Research
- Co-Editor of Mathematical Programming A
- Area Editor for nonlinear optimization Mathematical Programming C
- Member of the editorial boards of the SIAM Journal on Optimization (2002-2010), Computational Optimization and Applications, and Computational Management Science (2003-2011)
- Editor, SIAG/OPT Views-and-News (2008- )
- Recipient of the 2006 Lagrange Prize in Continuous Optimization
Selected Publications
- Jon Lee and Sven Leyffer (Eds), Mixed Integer Nonlinear Programming. In The IMA Volumes in Mathematics and its Applications, Vol. 154, Springer, 2012.
- R. Fletcher and S. Leyffer, Nonlinear programming without a penalty function. Mathematical Programming, 91:239–270, 2002.
- R. Fletcher, S. Leyffer, and Ph. L. Toint, On the global convergence of a filter-SQP algorithm. SIAM J. Optimization, 13(1):44–59, 2002.
- R. Fletcher and S. Leyffer, Solving mixed integer nonlinear programs by outer approximation. Mathematical Programming, 66:327–349, 1994.