Conditional models . Often we need to solve models where the equations defining the model depend on where we find the solution for it. An example is to solve a model involving fluid flow where the flow may be laminar or turbulent. We are developing methods to aid the formulating and solving of such models based on complementarity, boundary crossing, and integer programming. Improved solvers .
Models involving thousand of highly nonlinear equations are very difficult to solve and optimize.
We continue our work on developing robust solving algorithms for such problems. We have developed our n -dim environment to support a geographically dispersed design team organize and share information. We are developing several applications on top of n-dim, including a document management system, a tool repository system, a notification system, and an IBIS system for capturing group discussion of issues. Flexible solvent recovery systems. We examine an approach for synthesizing a solvent recovery process.