GAPSPLIT: efficient random sampling for non-convex constraint-based models

摘要

A Summary: Gapsplit generates random samples from convex and non-convex constraint-based models by targeting under-sampled regions of the solution space. Gapsplit provides uniform coverage of linear, mixed-integer and general non-linear models.