On approximations of data-driven chance constrained programs over Wasserstein balls (2023)
Attributed to:
Uncertainty-Aware Planning and Scheduling in the Process Industries
funded by
EPSRC
Abstract
No abstract provided
Bibliographic Information
Digital Object Identifier: http://dx.doi.org/10.1016/j.orl.2023.02.008
Publication URI: http://dx.doi.org/10.1016/j.orl.2023.02.008
Type: Journal Article/Review
Parent Publication: Operations Research Letters
Issue: 3