DOE OSTI · code-133240
Interpolation-Based Composite Derivative-Free Optimization (IBCDFO)
Abstract
IBCDFO is a library of interpolation-based optimization methods for composite derivative-free optimization. These methods are applicable when optimizing a function that depends on multiple outputs from a blackbox experiment/simulation for which derivatives with respect to the decision variables are not available. The methods include POUNDerS and GOOMBAH.
Keep this discovery
Explore connections, maps & timelines
Wild, Stefan [Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)] (0000000260992772), O'Neal, Jared [Argonne National Laboratory (ANL), Argonne, IL (United States)] (0000000326037314), Menickelly, Matt [Argonne National Laboratory (ANL), Argonne, IL (United States)] (0000000220230837), Larson, Jeff [Argonne National Laboratory (ANL), Argonne, IL (United States)] (0000000199242082). 2024-01-08. Interpolation-Based Composite Derivative-Free Optimization (IBCDFO). https://doi.org/10.11578/dc.20240627.2
Cite the original work for its findings. Save a collection to share your selection of sources.