High-Order Retractions on Matrix Manifolds Using Projected Polynomials
Author:
Funder
National Science Foundation
Publisher
Society for Industrial & Applied Mathematics (SIAM)
Subject
Analysis
Link
https://epubs.siam.org/doi/pdf/10.1137/17M1130459
Reference39 articles.
1. Riemannian Geometry of Grassmann Manifolds with a View on Algorithmic Computation
2. Projection-like Retractions on Matrix Manifolds
3. Newton's method on Riemannian manifolds and a geometric model for the human spine
4. Hamilton–Pontryagin Integrators on Lie Groups Part I: Introduction and Structure-Preserving Properties
5. Approximating the exponential from a Lie algebra to a Lie group
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1. Cayley-transform-based gradient and conjugate gradient algorithms on Grassmann manifolds;Advances in Computational Mathematics;2021-07-30
2. On matrix exponentials and their approximations related to optimization on the Stiefel manifold;Optimization Letters;2018-10-22
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