Code and Data Repository for First-order algorithms for robust optimization problems via convex-concave saddle-point Lagrangian reformulation
The software and data in this repository are a snapshot of the software and data that were used in the research reported on in the paper 'First-order algorithms for robust optimization problems via convex-concave saddle-point Lagrangian reformulation' (https://doi.org/10.1287/ijoc.2022.0200) by K. Postek and S. Shtern.
Authors
- Shimrit Shtern (ORCID: https://orcid.org/0000-0001-8398-7178)
- Krzysztof Postek (ORCID: https://orcid.org/0000-0002-4028-3725)
Publication Details
- Journal
- INFORMS journal on computing
- Published
- 2024-09-23
- DOI
- https://doi.org/10.1287/ijoc.2022.0200.cd
- Primary Topic
- Optimization and Variational Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00