Hiroyuki Sato

发表

Riemannian conjugate gradient method for complex singular value decomposition problem

Hiroyuki Sato, Hiroyuki Sato, 2014, 53rd IEEE Conference on Decision and Control.

A new, globally convergent Riemannian conjugate gradient method

Hiroyuki Sato, T. Iwai, 2013, 1302.0125.

Joint singular value decomposition algorithm based on the Riemannian trust-region method

Hiroyuki Sato, Hiroyuki Sato, 2015, JSIAM Lett..

Riemannian stochastic variance reduced gradient on Grassmann manifold pdf

Hiroyuki Kasai, Hiroyuki Sato, Bamdev Mishra, 2016, ArXiv.

Path optimization for the resource‐constrained searcher

Hiroyuki Sato, J. Royset, 2010 .

Route optimization for multiple searchers

Hiroyuki Sato, J. Royset, 2010 .

Riemannian Newton's method for joint diagonalization on the Stiefel manifold with application to ICA

Hiroyuki Sato, 2014 .

Riemannian Optimization Algorithms and Their Applications to Numerical Linear Algebra

Hiroyuki Sato, 2013 .

Optimization algorithms on the Grassmann manifold with application to matrix eigenvalue problems

Hiroyuki Sato, T. Iwai, 2014 .

Riemannian optimal system identification method of linear continuous-time systems with symmetry

Hiroyuki Sato, Kazuhiro Sato, T. Damm, 2018, 1804.10379.

Global Convergence of Hager-Zhang type Riemannian Conjugate Gradient Method

Hiroyuki Sato, H. Iiduka, Hiroyuki Sakai, 2022, 2207.01855.

Riemannian optimal system identification method of linear continuous-time systems with symmetry

Hiroyuki Sato, Kazuhiro Sato, T. Damm, 2018 .

Simple Acceleration of the Riemannian Steepest Descent Method with the Armijo Condition

Hiroyuki Sato, 2021, 2021 60th IEEE Conference on Decision and Control (CDC).

Riemannian Conjugate Gradient Methods: General Framework and Specific Algorithms with Convergence Analyses

Hiroyuki Sato, 2021, SIAM J. Optim..

Cholesky QR-based retraction on the generalized Stiefel manifold

Hiroyuki Sato, Kensuke Aihara, 2018, Computational Optimization and Applications.

A Dai–Yuan-type Riemannian conjugate gradient method with the weak Wolfe conditions

Hiroyuki Sato, 2015, Computational Optimization and Applications.

Riemannian Newton-type methods for joint diagonalization on the Stiefel manifold with application to independent component analysis

Hiroyuki Sato, 2014, 1403.8064.

A Dai–Yuan-type Riemannian conjugate gradient method with the weak Wolfe conditions

Hiroyuki Sato, Hiroyuki Sato, 2014, Comput. Optim. Appl..

Riemannian stochastic variance reduced gradient

Hiroyuki Kasai, Hiroyuki Sato, Bamdev Mishra, 2016, SIAM J. Optim..

Riemannian Optimization and Its Applications

Hiroyuki Sato, Hiroyuki Sato, 2021 .

Riemannian Optimal Identification Method for Linear Systems With Symmetric Positive-Definite Matrix

Hiroyuki Sato, Kazuhiro Sato, Tobias Damm, 2018, IEEE Transactions on Automatic Control.

Riemannian Gradient-Based Online Identification Method for Linear Systems with Symmetric Positive-Definite Matrix

Hiroyuki Sato, Kazuhiro Sato, Hiroyuki Sato, 2019, 2019 IEEE 58th Conference on Decision and Control (CDC).

Riemannian Stochastic Recursive Gradient Algorithm

Bamdev Mishra, Hiroyuki Sato, Hiroyuki Kasai, 2018, ICML 2018.

Riemannian stochastic quasi-Newton algorithm with variance reduction and its convergence analysis

Hiroyuki Kasai, Hiroyuki Sato, Bamdev Mishra, 2017, AISTATS.

A Riemannian Optimization Approach to the Matrix Singular Value Decomposition

Hiroyuki Sato, Toshihiro Iwai, Hiroyuki Sato, 2013, SIAM J. Optim..

Riemannian optimization on unit sphere with p-norm and its applications

Hiroyuki Sato, 2022, Computational Optimization and Applications.

Optimization algorithms on the Grassmann manifold with application to matrix eigenvalue problems

Hiroyuki Sato, T. Iwai, 2014, Japan Journal of Industrial and Applied Mathematics.

Structure-Preserving $H^2$ Optimal Model Reduction Based on the Riemannian Trust-Region Method

Hiroyuki Sato, Kazuhiro Sato, 2018, IEEE Transactions on Automatic Control.

A New H2 optimal model reduction method based on riemannian conjugate gradient method

Hiroyuki Sato, Kazuhiro Sato, Hiroyuki Sato, 2016, 2016 IEEE 55th Conference on Decision and Control (CDC).

Riemannian conjugate gradient methods with inverse retraction

Xiaojing Zhu, Hiroyuki Sato, Hiroyuki Sato, 2020, Computational Optimization and Applications.

Riemannian Stochastic Recursive Gradient Algorithm with Retraction and Vector Transport and Its Convergence Analysis

Hiroyuki Kasai, Hiroyuki Sato, Bamdev Mishra, 2018, ICML.

Supplementary Material : Riemannian Stochastic Recursive Gradient Algorithm

Bamdev Mishra, Hiroyuki Sato, Hiroyuki Kasai, 2018 .

Convergence analysis for the Riemannian conjugate gradient method

Toshihiro Iwai, Hiroyuki Sato, Hiroyuki Sato, 2013 .

Cayley-transform-based gradient and conjugate gradient algorithms on Grassmann manifolds

Xiaojing Zhu, Hiroyuki Sato, Hiroyuki Sato, 2021, Advances in Computational Mathematics.

Approximated logarithmic maps on Riemannian manifolds and their applications

Hiroyuki Sato, Jumpei Goto, Hiroyuki Sato, 2021, JSIAM Lett..

Cholesky QR-based retraction on the generalized Stiefel manifold

Hiroyuki Sato, Kensuke Aihara, Hiroyuki Sato, 2018, Computational Optimization and Applications.

Sequential optimality conditions for nonlinear optimization on Riemannian manifolds and a globally convergent augmented Lagrangian method

Hiroyuki Sato, Yuya Yamakawa, 2022, Computational Optimization and Applications.