Discrete Optimization

We develop advanced algorithms and modeling tools for a variety of optimization research areas, including engineering design, parameter estimation, inverse modeling, logistics and planning, and design of complex systems. Our research considers a wide range of optimization problems, including integer and linear programming, disjunctive programming, stochastic programming, surrogate-based optimization and PDE-constrained optimization. We implement these algorithms in our software tools, including DAKOTA (http://dakota.sandia.gov), Trilinos (https://trilinos.github.io/) and Coopr (https://software.sandia.gov/coopr), which are distributed as open source software.