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Low-Rank Optimization Methods Based on Projected Projected-Gradient Descent That Accumulate at Bouligand Stationary Points.

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Title: Low-Rank Optimization Methods Based on Projected Projected-Gradient Descent That Accumulate at Bouligand Stationary Points.
Authors: Olikier, Guillaume1 (AUTHOR) guillaume.olikier@epfl.ch, Gallivan, Kyle A.2 (AUTHOR) kgallivan@fsu.edu, Absil, P.-A.3 (AUTHOR) pa.absil@uclouvain.be
Source: Mathematics of Operations Research (INFORMS). Apr2026, p1. 29p.
Database: Business Source Ultimate
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  Data: Low-Rank Optimization Methods Based on Projected Projected-Gradient Descent That Accumulate at Bouligand Stationary Points.
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      – Type: doi
        Value: 10.1287/moor.2024.0582
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      – Code: eng
        Text: English
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        PageCount: 29
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      – TitleFull: Low-Rank Optimization Methods Based on Projected Projected-Gradient Descent That Accumulate at Bouligand Stationary Points.
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            NameFull: Olikier, Guillaume
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            NameFull: Gallivan, Kyle A.
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              Text: Apr2026
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              Y: 2026
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