Olikier, G., Gallivan, K. A., & Absil, P. (2026). Low-Rank Optimization Methods Based on Projected Projected-Gradient Descent That Accumulate at Bouligand Stationary Points. Mathematics of Operations Research (INFORMS), 1. https://doi.org/10.1287/moor.2024.0582
Chicago Style (17th ed.) CitationOlikier, Guillaume, Kyle A. Gallivan, and P.-A Absil. "Low-Rank Optimization Methods Based on Projected Projected-Gradient Descent That Accumulate at Bouligand Stationary Points." Mathematics of Operations Research (INFORMS) 2026: 1. https://doi.org/10.1287/moor.2024.0582.
MLA (9th ed.) CitationOlikier, Guillaume, et al. "Low-Rank Optimization Methods Based on Projected Projected-Gradient Descent That Accumulate at Bouligand Stationary Points." Mathematics of Operations Research (INFORMS), 2026, p. 1, https://doi.org/10.1287/moor.2024.0582.