Algorithmic work related to complementarity solvers is attempting to solve large scale models in a robust and numerically stable fashion.To this end, we continue to develop new algorithms and implementations, along with testing beds and techniques for succinctly modeling both complementarity problems and mathematical programs with equilibrium constraints. Professor Ferris is interested in using optimization in applications ranging from video-on-demand to radiation therapy.He also continues to investigate robust methods for solving large-scale variational inequality and nonlinear programming problems with applications to problems in economics and engineering. Dr. Ferris' research is concerned with providing tools to operations researchers, economists and engineers that help them to understand and solve their models.Problem analysis routines, data manipulations and solution visualization procedures are being developed to aid both solver routines and model developers.Professor Ferris is developing software that converts mathematical programs with equilibrium constraints into nonlinear programs to enable large scale solution.Current work is investigating how to easily formulate and solve practical optimization problems using the Condor system over a confederation of workstations.