Abstract
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.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 2623-2625 |
| Number of pages | 3 |
| Journal | Bioinformatics |
| Volume | 36 |
| Issue number | 8 |
| DOIs | |
| State | Published - Apr 15 2020 |
ASJC Scopus subject areas
- Statistics and Probability
- Biochemistry
- Molecular Biology
- Computer Science Applications
- Computational Theory and Mathematics
- Computational Mathematics