A New First-Order Algorithmic Framework for Optimization Problems with Orthogonality Constraints-Reference-Cited by-同舟云学术

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A New First-Order Algorithmic Framework for Optimization Problems with Orthogonality Constraints

Published:2018-01 Issue:1 Volume:28 Page:302-332
ISSN:1052-6234
Container-title:SIAM Journal on Optimization
language:en
Short-container-title:SIAM J. Optim.

Author:

Gao Bin,Liu Xin,Chen Xiaojun,Yuan Ya-xiang

Funder

Hong Kong Research Council

Chinese Academy of Sciences

Chinese Academy of Sciences Key Project

National Natural Science Foundation of China

Publisher

Society for Industrial & Applied Mathematics (SIAM)

Subject

Theoretical Computer Science,Software

Link

https://epubs.siam.org/doi/pdf/10.1137/16M1098759

Reference35 articles.

1. Steepest Descent Algorithms for Optimization Under Unitary Matrix Constraint

2. Conjugate gradient algorithm for optimization under unitary matrix constraint

3. Projection-like Retractions on Matrix Manifolds

4. Two-Point Step Size Gradient Methods

5. An augmented Lagrangian approach to the numerical solution of a non-smooth eigenvalue problem

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