Advances in Transformations and NLP Modeling for InfiniteOpt.jl
InfiniteOpt.jl is built on a unifying abstraction for infinite-dimensional optimization problems that enable it to tackle a wide variety of problems in innovative ways. We present recent advances to InfiniteOpt.jl that significantly its flexibility to model/solve these challenging problems. We have developed a general transformation API to facilitate diverse solution methodologies, and we have created an intuitive nonlinear interface that overcomes the current shortcomings of JuMP.jl.
Joshua Pulsipher
I am postdoc at Carnegie Mellon University specializing in infinite-dimensional optimization techniques.