mathematics
and
computer
science

LANS

LANS Research

 

SEANO : Structure-Exploiting Algorithms for Nonlinear Optimization

PIs:
Sven Leyffer, Todd Munson, Stefan Wild

Funding:
DOE ASCR

Advances in high-performance computing have led to a new generation of complex optimization problems that span the breadth of nonlinear optimization--from problems where discrete decisions must be made, to problems with constraints arising from simulation evaluations, to those governed or modeled by variational inequalities.
This project centers on a unified approach for addressing this diverse set of problems. We devise methods that fully exploit the structures arising within and between these classes of nonlinear optimization problems.