A collection of efficient retractions for the symplectic Stiefel manifold
Author:
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Computational Mathematics
Link
https://link.springer.com/content/pdf/10.1007/s40314-023-02302-0.pdf
Reference40 articles.
1. Absil PA, Mahony R, Sepulchre R (2009) Optimization algorithms on matrix manifolds. Princeton University Press, Princeton. https://doi.org/10.1515/9781400830244
2. Amodio P (2003) A symplectic Lanczos-type algorithm to compute the eigenvalues of positive definite Hamiltonian matrices. In: Peter MAS, David A, Alexander VB, Yuriy EG, Jack JD, Albert YZ (eds) Lecture notes in computer science, vol 2658, pp 139–148. https://doi.org/10.1007/3-540-44862-4_16
3. Arnol’d VI (2013) Mathematical methods of classical mechanics. Springer, New York. https://doi.org/10.1007/978-1-4757-1693-1
4. Bendokat T, Zimmermann R (2021) The real symplectic Stiefel and Grassmann manifolds: metrics, geodesics and applications. arXiv:2108.12447. Accessed 30 Jan 2023
5. Benner P, Fabbender H (1997) An implicitly restarted symplectic Lanczos method for the Hamiltonian eigenvalue problem. Linear Algebra Appl 263:75–111. https://doi.org/10.1016/S0024-3795(96)00524-1
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Optimization on the symplectic Stiefel manifold: SR decomposition-based retraction and applications;Linear Algebra and its Applications;2024-02
2. Conjugate Gradient Methods for Optimization Problems on Symplectic Stiefel Manifold;IEEE Control Systems Letters;2023
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