Hiroyuki Sato

24 papers Journal 18Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
Modified Armijo line search in optimization on Riemannian submanifolds with reduced computational cost.
Math. Comput. Simul.
Hiroyuki Sato, Yuya Yamakawa, Kensuke Aihara
2025 J jnl
Nonlinear conjugate gradient method for vector optimization on Riemannian manifolds with retraction and vector transport.
Appl. Math. Comput.
Kangming Chen, Ellen Hidemi Fukuda, Hiroyuki Sato
2023 J jnl
Conjugate Gradient Methods for Optimization Problems on Symplectic Stiefel Manifold.
IEEE Control. Syst. Lett.
Mitsutaka Yamada, Hiroyuki Sato
2023 J jnl
Riemannian optimization on unit sphere with p-norm and its applications.
Comput. Optim. Appl.
Hiroyuki Sato
2022 J jnl
Riemannian Conjugate Gradient Methods: General Framework and Specific Algorithms with Convergence Analyses.
SIAM J. Optim.
Hiroyuki Sato
2022 J jnl
Sequential optimality conditions for nonlinear optimization on Riemannian manifolds and a globally convergent augmented Lagrangian method.
Comput. Optim. Appl.
Yuya Yamakawa, Hiroyuki Sato
2022 J jnl
Topic model-based recommender systems and their applications to cold-start problems.
Expert Syst. Appl.
Mimu Kawai, Hiroyuki Sato, Takayuki Shiohama
2021 J jnl
Approximated logarithmic maps on Riemannian manifolds and their applications.
JSIAM Lett.
Jumpei Goto, Hiroyuki Sato
2021 J jnl
Cayley-transform-based gradient and conjugate gradient algorithms on Grassmann manifolds.
Adv. Comput. Math.
Xiaojing Zhu, Hiroyuki Sato
2020 J jnl
Riemannian Optimal Identification Method for Linear Systems With Symmetric Positive-Definite Matrix.
IEEE Trans. Autom. Control.
Kazuhiro Sato, Hiroyuki Sato, Tobias Damm
2020 J jnl
Riemannian conjugate gradient methods with inverse retraction.
Comput. Optim. Appl.
Xiaojing Zhu, Hiroyuki Sato
2019 J jnl
Cholesky QR-based retraction on the generalized Stiefel manifold.
Comput. Optim. Appl.
Hiroyuki Sato, Kensuke Aihara
2019 — conf
Riemannian Gradient-Based Online Identification Method for Linear Systems with Symmetric Positive-Definite Matrix.
CDC
Hiroyuki Sato, Kazuhiro Sato
2018 J jnl
Structure-Preserving H
IEEE Trans. Autom. Control.
Kazuhiro Sato, Hiroyuki Sato
2017 J jnl
A matrix-free implementation of Riemannian Newton's method on the Stiefel manifold.
Optim. Lett.
Kensuke Aihara, Hiroyuki Sato
2017 J jnl
Riemannian Optimal System Identification Algorithm for Linear MIMO Systems.
IEEE Control. Syst. Lett.
Hiroyuki Sato, Kazuhiro Sato
2017 — conf
Supervised-Topic-Model-Based Hybrid Filtering for Recommender Systems.
ACIT/CSII/BCD
Mimu Kawai, Takayuki Shiohama, Hiroyuki Sato
2016 J jnl
A Dai-Yuan-type Riemannian conjugate gradient method with the weak Wolfe conditions.
Comput. Optim. Appl.
Hiroyuki Sato
2016 — conf
A New H
CDC
Hiroyuki Sato, Kazuhiro Sato
2015 J jnl
Joint singular value decomposition algorithm based on the Riemannian trust-region method.
JSIAM Lett.
Hiroyuki Sato
2015 — conf
Riemannian trust-region methods for H2 optimal model reduction.
CDC
Hiroyuki Sato, Kazuhiro Sato
2014 — conf
Riemannian conjugate gradient method for complex singular value decomposition problem.
CDC
Hiroyuki Sato
2013 J jnl
A Riemannian Optimization Approach to the Matrix Singular Value Decomposition.
SIAM J. Optim.
Hiroyuki Sato, Toshihiro Iwai
2013 — conf
A complex singular value decomposition algorithm based on the Riemannian Newton method.
CDC
Hiroyuki Sato, Toshihiro Iwai