Sep 15, 2020 · Ours is the first algorithm that has both global and local convergence properties for constrained nonlinear optimization on Riemannian manifolds ...

May 10, 2022 · Ours is the first algorithm that has both global and local convergence properties for constrained nonlinear optimization on Riemannian manifolds ...

In this paper, we propose Riemannian sequential quadratic optimization (RSQO) that uses a line-search technique with an penalty function as an extension of the ...

The authors' is the first algorithm for solving RNLO problems that has both global and local convergence properties for constrained optimization, ...

Jun 15, 2021 · In this paper, we propose Riemannian sequential quadratic optimization (RSQO) that uses a line-search technique with an ℓ1 penalty function as ...

Sep 29, 2020 · In this paper, we propose Riemannian sequential quadratic optimization (RSQO) that uses a line-search technique with an l1 penalty function as ...

The code for the paper ''Sequential quadratic optimization for nonlinear optimization problems on Riemannian manifolds'' [arXiv]. It needs Manopt - can be ...

Takeda, Sequential quadratic optimization for nonlinear opti- mization problems on Riemannian manifolds, SIAM J. Optim., 32 (2022), pp. 822–853. [28] J.M. ...

Sep 22, 2023 · To solve this RNLO, we apply the Riemannian sequential quadratic optimization (RSQO) that was proposed by Obara, Okuno, and Takeda (2022) most ...

In this work, we consider extensions of existing algorithms from the Euclidean case to the Riemannian case. Thus, the variable lives on a known smooth manifold ...