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PEBBL (on GitHub)
C++ framework for building customized branch-and-bound algorithms, with flexible and scalable parallelism through MPI.  Developed with Cynthia A. Phillips and William E. Hart.
BranchAndBound.jl (on GitHub)
An simple (serial) abstract branch-and-bound framework for Julia.
YASAI (hosted at Rutgers)
Excel add-in for Monte Carlo simulation, written in VBA.  Designed to be simple to use and suitable for teaching.  Developed with numerous Rutgers undergraduate students.
projSplitFit (on GitHub)
Python modules facilitating experimentation with projective splitting methods for convex data fitting problems (see the publications tab for articles about these algorithms).  Developed with Patrick R. Johnstone.