A generalized canonical Riemannian metric is defined on the indefinite Stiefel manifold, with an associated quasi-geodesic and retraction, for use in Riemannian gradient descent.
Neurocomputing,67, 106–135 (2005)
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
math.OC 1years
2025 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
A generalized canonical metric for optimization on the indefinite Stiefel manifold
A generalized canonical Riemannian metric is defined on the indefinite Stiefel manifold, with an associated quasi-geodesic and retraction, for use in Riemannian gradient descent.