An exact penalty approach for optimization with nonnegative orthogonality constraints

Abstract Optimization with nonnegative orthogonality constraints has wide applications in machine learning and data sciences. It is NP-hard due to some combinatorial properties of the constraints. We first propose an equivalent optimization formulation with nonnegative and multiple sp...

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Bibliographic Details
Main Authors: Jiang, Bo, Meng, Xiang, Wen, Zaiwen, Chen, Xiaojun
Other Authors: Massachusetts Institute of Technology. Operations Research Center
Format: Article
Language:English
Published: Springer Berlin Heidelberg 2023
Online Access:https://hdl.handle.net/1721.1/148140