Therefore, an adaptive trust-region method on Riemannian manifold that can flexibly adjust the trust-region radius and make the trust-region radius converge to zero is worth studying. For the trust-region subproblem, the truncated conjugate gradient method [11] is one of the effective algorithms.
Jul 19, 2023
Abstract. A general scheme for trust-region methods on Riemannian manifolds is proposed and analyzed. Among the various approaches available to.
Apr 13, 2024 · We propose a sub-sampled adaptive trust region method on Riemannian manifold in this article. For the new method, the trust region radius is ...
We consider the problem of large‐scale finite‐sum minimization on Riemannian manifold. We develop a sub‐sampled adaptive trust region method on Riemannian ...
ABSTRACT: We propose and analyze an implicit trust-region method in the general setting of Riemannian manifolds. The method is implicit in that the trust-region ...
Apr 18, 2023 · We consider the problem of large-scale finite-sum minimization on Riemannian manifold. We develop a sub-sampled adaptive trust region method ...
Jul 19, 2023 · We propose an adaptive trust-region method for Riemannian optimization problems. Especially, the trust-region radius converges to zero with the adaptive ...
Jul 19, 2023 · We propose an adaptive trust-region method for Riemannian optimization problems. Espe- cially, the trust-region radius converges to zero with ...
We propose an adaptive trust-region method for Riemannian optimization problems. Especially, the trust-region radius converges to zero with the adaptive ...
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Apr 13, 2024 · We consider the problem of large-scale finite-sum minimization on Riemannian manifold. We develop a sub-sampled adaptive trust region method ...