Matthias Heinkenschloss' research interests are in the design and analysis of mathematical optimization algorithms for nonlinear, large-scale (often infinite dimensional) problems and their applications to science and engineering problems. Research areas include large-scale nonlinear optimization, model order reduction, optimal control of partial differential equations (PDEs), optimization under uncertainty, PDE constrained optimization, iterative solution of KKT systems and domain decomposition in optimization.
Publications/Creative Works
Click here to search for this faculty member's publications on PubMed.
Important Disclaimer: The responsibility for the accuracy of the information contained on these pages lies with the authors and user providing such information.