Grimmer, B., Shu, K., & Wang, A. L. (2025). Accelerated Objective Gap and Gradient Norm Convergence for Gradient Descent via Long Steps. INFORMS Journal on Optimization, 7(2), 156-169. https://doi.org/10.1287 joo.2024.0057
ISO-690 (author-date, English)GRIMMER, Benjamin, SHU, Kevin und WANG, Alex L., 2025. Accelerated Objective Gap and Gradient Norm Convergence for Gradient Descent via Long Steps. INFORMS Journal on Optimization. 1 April 2025. Vol. 7, no. 2, p. 156-169. DOI 10.1287 joo.2024.0057.
Modern Language Association 9th editionGrimmer, B., K. Shu, und A. L. Wang. „Accelerated Objective Gap and Gradient Norm Convergence for Gradient Descent via Long Steps.“. INFORMS Journal on Optimization, Bd. 7, Nr. 2, April 2025, S. 156-69, https://doi.org/10.1287 joo.2024.0057.
Mohr Siebeck - Recht (Deutsch - Österreich)Grimmer, Benjamin/Shu, Kevin/Wang, Alex L.: Accelerated Objective Gap and Gradient Norm Convergence for Gradient Descent via Long Steps., INFORMS Journal on Optimization 2025, 156-169.
Emerald - HarvardGrimmer, B., Shu, K. und Wang, A.L. (2025), „Accelerated Objective Gap and Gradient Norm Convergence for Gradient Descent via Long Steps.“, INFORMS Journal on Optimization, Vol. 7 No. 2, S. 156-169.