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保國惠一

Morikuni, Keiichi

システム情報系 , 助教
Institute of Systems and Information Engineering , Assistant Professor

https://www.u.tsukuba.ac.jp/~morikuni.keiichi.fw/

オープンアクセス版の論文は「つくばリポジトリ」で読むことができます。

1. Block cross-interactive residual smoothing for Lanczos-type solvers for linear systems with multiple right-hand sides Kensuke Aihara; Akira Imakura; Keiichi Morikuni
SIAM Journal on Matrix Analysis and Applications, accepted (2025)
2. Verified eigenvalue and eigenvector computations using complex moments and the Rayleigh-Ritz procedure for generalized Hermitian eigenvalue problems Akira Imakura; Keiichi Morikuni; Akitoshi Takayasu
Journal of Computational and Applied Mathematics 424: 1 (2023) Semantic Scholar
3. Complex moment-based methods for differential eigenvalue problems Akira Imakura; Keiichi Morikuni; Akitoshi Takayasu
Numerical Algorithms 92: 693 (2022) Semantic Scholar
4. Cross-interactive residual smoothing for global and block Lanczos-type solvers for linear systems with multiple right-hand sides Kensuke Aihara; Akira Imakura; Keiichi Morikuni
SIAM Journal on Matrix Analysis and Applications 43: 1308 (2022) Semantic Scholar
5. GMRES methods for tomographic reconstruction with an unmatched back projector Per Christian Hansen; Ken Hayami; Keiichi Morikuni
Journal of Computational and Applied Mathematics 413: 1 (2022) Semantic Scholar
6. A stabilized GMRES method for singular and severely ill-conditioned systems of linear equations Zeyu Liao; Ken Hayami; Keiichi Morikuni; Jun-Feng Yin
Japan Journal of Industrial and Applied Mathematics 39: 717 (2022) Semantic Scholar
7. Projection method for eigenvalue problems of linear nonsquare matrix pencils Keiichi Morikuni
SIAM Journal on Matrix Analysis and Applications 42: 1381 (2021) Semantic Scholar
8. Kaczmarz-type inner-iteration preconditioned flexible GMRES methods for consistent linear systems Yi-Shu Du; Ken Hayami; Ning Zheng; Keiichi MorikuniJun-Feng Yin
SIAM Journal on Scientific Computing 43: S345 (2021) Semantic Scholar
9. Online spectral classification for long-term spike sorting Kotaro Sakamoto; Keiichi Morikuni; Tetsuya Sakurai; Sumire MatsumotoKaspar Vogt
Proceedings of the 5th International Conference on Medical and Health Informatics 89 (2021) Semantic Scholar
10. Multiclass spectral feature scaling method for dimensionality reduction Momo Matsuda; Keiichi Morikuni; Akira Imakura; Xiucai YeTetsuya Sakurai
Intelligent Data Analysis 24: 1273 (2020) Semantic Scholar
11. Verified partial eigenvalue computations using contour integrals for Hermitian generalized eigenproblems Akira Imakura; Keiichi Morikuni; Akitoshi Takayasu
Journal of Computational and Applied Mathematics 369: 1 (2019) Semantic Scholar
12. Implementation of interior-point methods for LP based on Krylov subspace iterative solvers with inner-iteration preconditioning Yiran Cui; Keiichi Morikuni; Takashi Tsuchiya; Ken Hayami
Computational Optimization and Applications 74: 143 (2019) Semantic Scholar
13. 対称な特異線形系に対する対称な分離行列を持つ内部反復前処理保國惠一
Transactions of the Japan Society for Industrial and Applied Mathematics 29: 62 (2019)
14. Spectral feature scaling method for supervised dimensionality reduction Momo Matsuda; Keiichi Morikuni; Tetsuya Sakurai
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence (IJCAI-18) 2560 (2018) Semantic Scholar
15. On GMRES for singular EP and GP systems Keiichi Morikuni; Miroslav Rozložník
SIAM Journal on Matrix Analysis and Applications 39: 1033 (2018) Semantic Scholar
16. 特異線形方程式に対する内部反復前処理保國惠一
RIMS Kokyuroku, Numerical Analysis: New Developments for Elucidating Interdisciplinary Problems II 2037: 44 (2017)
17. Multistep matrix splitting iteration preconditioning for singular linear systems Keiichi Morikuni
Numerical Algorithms 75: 457 (2017) Semantic Scholar
18. Convergence of inner-iteration GMRES methods for rank-deficient least squares problems Keiichi Morikuni; Ken Hayami
SIAM Journal on Matrix Analysis and Applications 36: 225 (2015) Semantic Scholar
19. FGMRES for linear discrete ill-posed problems Keiichi Morikuni; Lothar Reichel; Ken Hayami
Applied Numerical Mathematics 75: 175 (2013) Semantic Scholar
20. Inner-iteration Preconditioning for Least Squares Problems 保國惠一
Ph.D. Thesis, The Graduate University for Advanced Studies (2013)

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1. 数値線形代数の数理とHPC 山本有作; 多田野寛人; 今倉暁; 相島健助; 宮田考史; 櫻井鉄也; 中村佳正; 保國惠一; 曽我部知広; 中島研吾; 深谷猛; 二村保徳; 大島聡史 (担当:分担執筆, 範囲:第3章最小二乗問題の数値解法, 3.2 反復法)
共立出版 2018年8月 (ISBN: 9784320019553)

61. 特異EPおよびGP系に対する一般化最小残差法の数値的振る舞い保國惠一; Miroslav Rozložník
日本応用数理学会「行列・固有値問題の解法とその応用」研究部会第26回研究会, 東京 2018年11月28日
62. On GMRES for linear EP and GP systems Morikuni, K; Rozložník, M
GAMM Applied Numerical Linear Algebra (ANLA) Workshop, Lund, Sweden 2018年10月11日
63. Implementation of Interior-point Methods for LP without a Direct Linear Equation Solver Cui, Y; Morikuni, K; Tsuhiya, T; Hayami, K
The 3rd IMI-ISM-ZIB MODAL Workshop on Challenging in Real World Data Analytics and High-Performance Optimization, Tokyo, Japan 2018年9月27日
64. Verified computing for partial eigenvalues using a contour integral-type eigensolver Takayasu, A; Imakura, A; Morikuni, K
18th International Symposium on Scientific Computing, Computer Arithmetic, and Verified Numerical Computations, Tokyo, Japan 2018年9月12日
65. スペクトラル特徴量スケーリングの多クラス分類問題への拡張松田萌望; 保國惠一; 今倉暁; 櫻井鉄也
日本応用数理学会2018年度年会, 名古屋 2018年9月4日
66. 一般化エルミート固有値問題の周回積分型精度保証付き部分固有値計算今倉暁; 保國惠一; 高安亮紀
日本応用数理学会2018年度年会, 名古屋 2018年9月3日
67. GMRES method for singular EP and GP linear systems Morikuni, K; Rozložník, M
The Seventh China–Japan–Korea Joint Conference on Numerical Mathematics (CJK2018), Kanazawa, Japan 2018年8月22日招待有り
68. 線形行列束の部分固有値問題に対する周回積分法保國惠一
岩手数理科学セミナー, 岩手 2018年7月31日招待有り
69. Network organization of cortical neurons across waking and sleep in naturally behaving mice 大山薫; 保國惠一; 松本すみ礼; 松田萌望; 牧野裕一; Thomas J. McHugh; 櫻井鉄也; 柳沢正史; Robert W. Greene; Kasper E. Vogt
第42回日本神経科学大会, 神戸 2018年7月26日
70. Spectral Feature Scaling Method for Supervised Dimensionality Reduction Matsuda, M; Morikuni, K; Sakurai, T
Twenty-Seventh International Joint Conference on Artificial Intelligence (IJCAI-18), Stockholm, Sweden 2018年7月19日
71. 高次元データのスペクトラルクラス分類における特徴量スケーリング松田萌望; 保國惠一; 今倉暁; 櫻井鉄也
第33回情報論的学習理論と機械学習 (IBISML) 研究会, 沖縄 2018年6月13日
72. 多クラス分類問題に対するスペクトラル特徴量スケーリング松田萌望; 保國惠一; 今倉暁; 櫻井鉄也
第47回数値解析シンポジウム (NAS2018), 福井, 講演予稿集, pp. 31-34 2018年6月7日
73. Verified Partial Eigenvalue Computation for Generalized Hermitian Eigenproblems Using Contour Integrals 今倉暁; 保國惠一; 高安亮紀
第47回数値解析シンポジウム (NAS2018) , 福井, 講演予稿集, pp. 1-4 2018年6月6日
74. Contour integral methods for partial eigenproblems of linear rectangular matrix pencils Morikuni, K
SIAM Conference on Applied Linear Algebra (SIAM-ALA18), Hong Kong 2018年5月8日
75. Verified computation of partial eigenvalues using contour integrals Imakura, A; Morikuni, K; Takayasu, A
SIAM Conference on Applied Linear Algebra (SIAM-ALA18), Hong Kong 2018年5月7日
76. On GMRES for singular EP and GP systems Morikuni, K; Rozloznik, M
89th GAMM Annual Meeting, Munich, Germany 2018年3月20日
77. 特徴量スケーリングを用いたスペクトラルクラス分類松田萌望; 保國惠一; 櫻井鉄也
第14回日本応用数理学会研究部会連合発表会, 大阪 2018年3月16日
78. Feature scaling method for supervised spectral clustering Matsuda, M; Morikuni, K; Sakurai, T
SIAM Conference on Parallel Processing for Scientific Computing (SIAM PP18), Tokyo, Japan 2018年3月9日
79. Contour integral-based verified computing for partial eigenvalues Takayasu, A; Imakura, A; Morikuni, K
SIAM Conference on Parallel Processing for Scientific Computing (SIAM PP18), Tokyo, Japan 2018年3月8日
80. Feature scaling method for spectral classification Matsuda, M; Morikuni, K; Sakurai, T
International Workshop on Eigenvalue Problems: Algorithms; Software and Applications in Petascale Computing (EPASA2018), Tsukuba, Japan 2018年3月5日