Discrete-continuous non-linear optimization models are frequently used to formulate problems in process system engineering. Major modeling alternatives and solution algorithms include generalized disjunctive programming and mixed integer non-linear programming (MINLP). Both have advantages and drawbacks depending on the problem they are dealing with. In this work, we describe the theory behind ...

This paper describes a methodology for the capture, analysis and synthesis of hybrid data. A case study in the field of reasoning with multiple representations and specifically in computer programming is presented to exemplify the use of such methodology. The hybrid data considered comprise computer interaction logs, audio recordings and data about visual attention focus. The capture of the foc...

We examined hybrid parallel infrastructures in order to ensure performance and scalability for beam propagation modeling as we move toward extreme-scale systems. Using an MPI programming interface for parallel algorithms, we expanded the capability of our existing electromagnetic solver to a hybrid (MPI/shared-memory) model that can potentially use the computer resources on future-generation co...