arXiv · 2603.07133
Second-order geometry and Riemannian Newton-type methods for optimization on the indefinite Stiefel manifold
Abstract
This paper investigates the second-order geometry of the indefinite Stiefel manifold and derives explicit formulas for the Levi-Civita connection and the Riemannian Hessian under two generalized canonical metrics. We discuss Riemannian Newton's method, in which Newton's equation is solved by the linear conjugate gradient method in a fixed tangent space, and the Riemannian trust-region method with the truncated conjugate gradient method. Numerical experiments for trace minimization problems demonstrate the robustness of the trust-region method over several problem sizes and in near-singular settings where eigenvalues of the constraint matrix approach zero.
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Hiroyuki Sato. 2026-03-07. Second-order geometry and Riemannian Newton-type methods for optimization on the indefinite Stiefel manifold. https://arxiv.org/abs/2603.07133
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