土谷隆

役　職	データサイエンスセンター所長、教授
学　位	博士（工学）（東京大学、1991年）
専門分野	統計数理、数理工学（最適化・統計科学・オペレーションズリサーチ等）
現在の研究対象	（方法論）計算推論のためのモデリングとアルゴリズム、特に凸最適化のアルゴリズムと解析、凸最適化の情報幾何、グラフィカルモデリング、非線形状態空間モデル等（実問題）リニアモーターカー磁気シールド最適設計、マウス動画像解析、年金資産運用、海洋データ同化、メソポタミア粘土板データ解析等

略歴
1983年東京大学工学部計数工学科卒業
1986年東京大学大学院工学研究科計数工学専攻修了
1986年統計数理研究所予測制御研究系助手
1994年統計数理研究所予測制御研究系助教授
2002年統計数理研究所予測制御研究系教授
2004年統計数理研究所数理・推論研究系教授
2008年総合研究大学院大学複合科学研究科統計科学専攻長（併任）
2010年政策研究大学院大学政策研究科教授（現在に至る）
主要な著作・論文等

和文論文

[1] 土谷隆：新型コロナウイルス感染症のダイナミクスとデータサイエンス. 数理科学, No.711(2022), pp. 44-50. (招待(査読無))

　

[2] 土谷隆：新型コロナウイルス感染症の広がりに関する一考察．オペレーションズ・リサーチ, Vol.66 (2021), pp.90-103. (査読付)

　

[3] 荒川俊也, 土谷隆：最大電力供給の統計的解析と節電について―東日本大震災がもたらした構造変化―. オペレーションズ・リサーチ, Vol. 65 (2016), pp. 698-710. (訂正: 同p.882.) (査読付)

英文論文（すべて査読付き）

[1] Takashi Tsuchiya, Bruno F. Louren¸co, Masakazu Muramatsu and Takayuki Okuno: A limiting analysis on regularization of singular SDP and its implication to infeasible interior-point algorithms. Mathematical Programming, Vol.200 (2023), pp.531-568, doi.org/10.1007/s10107-022-01891-8.

　

[2] Bruno F. Louren¸co, Masakazu Muramatsu and Takashi Tsuchiya: Solving SDP completely with an interior-point oracle. Optimization Methods and Software, Vol.36 (2021), pp.425-471, doi.org/10.1080/10556788.2020.1850720.

　

[3] Y.Cui, K.Morikuni, T.Tsuchiya and K. Hayami: Implementation of interior-point methods for LP based on Krylov subspace iterative solvers with inner-iteration preconditioning. Computational Optimization and Applications, Vol.74 (2019), pp.143-176.

　

[4] Sumie Ueda, Kumi Makino, Yoshiaki Itoh, Takashi Tsuchiya: Logistic growth for the Nuzi cuneiform tablets: Analyzing family networks in ancient Mesopotamia. Physica A, Vol.421 (2015), pp. 223-232.

　

[5] Toshiya Arakawa, Akira Tanave, Shiho Ikeuchi, Aki Takahashi, Satoshi Kakihara, Shingo Kimura, Hiroki Sugimoto, Nobuhiko Asada, Toshihiko Shiroishi, Kazuya Tomihara, Takashi Tsuchiya, Tsuyoshi Koide: A male-specific QTL for social interaction behavior in mice mapped with automated pattern detection by a hidden Markov model incorporated into newly developed freeware, Journal of Neuroscience Methods, Vol. 234 (2014), pp. 127-134.

　

[6] Satoshi Kakihara, Atsumi Ohara and Takashi Tsuchiya: Information geometry and interior-point algorithms in semidefinite programs and symmetric cone programs. Journal of Optimization Theory and Applications, Vol.157 (2013), pp. 749-780.

　

[7] G. Ueno and T. Tsuchiya: Covariance regularization in inverse space. Quarterly Journal of the Royal Meteorological Society, Vol. 135 (2009), pp. 1133-1156.

　

[8] Kazuyuki Nakamura and Takashi Tsuchiya: A recursive recomputation approach for smoothing in nonlinear state space modeling -- An attempt for reducing space complexity --. IEEE Transactions on Signal Processing, Vol. 55 (2007), pp. 5167- 5178.

　

[9] T. Fushiki, S. Horiuchi and T. Tsuchiya: A maximum likelihood approach to density estimation with semidefinite programming Neural Computation, Vol. 18 (2006), pp. 2777-2812.

　

[10] Leonid Faybusovich and Takashi Tsuchiya: Primal-dual algorithms and infinitedimensional Jordan Algebras of finite rank. Mathematical Programming, Vol.97 (2003), No.3, pp.471-493.

　

[11] R.D.C. Monteiro and T. Tsuchiya: A variant of the Vavasis-Ye layered-step interior-point algorithm for linear programming. SIAM Journal on Optimization, Vol.13 (2003), No.4, pp.1054-1079.

　

[12] T. Sasakawa and T. Tsuchiya: Optimal magnetic shield design with second-order cone programming. SIAM Journal on Scientific Computing, Vol.24 (2003), No.6, pp. 1930-1950.

　

[13] R. D. C. Monteiro and Takashi Tsuchiya: Polynomial convergence of primal-dual algorithms for the second-order cone program based on the MZ-family of directions. Mathematical Programming, Vol. 88 (2000), pp. 61-83.

　

[14] T. Tsuchiya: A convergence analysis of the scaling-invariant primal-dual path-following algorithms for second-order cone programming. Optimization Methods and Software, Vol. 11 and 12 (1999), pp. 141-182.

　

[15] R. D. C. Monteiro and T. Tsuchiya: Polynomial convergence of a new family of primal-dual algorithms for semidefinite programming. SIAM Journal on Optimization, Vol. 9 (1999), pp. 551-577.

　

[16] A. El-Bakry, R. A. Tapia, T. Tsuchiya and Y. Zhang: On the formulation and theory of the Newton interior-point method for nonlinear programming. Journal of Optimization Theory and Applications, Vol. 89 (1996), pp. 507-541.

　

[17] Takashi Tsuchiya and Masakazu Muramatsu: Global convergence of a long-step affine scaling algorithm for degenerate linear programming problems. SIAM Journal on Optimization, Vol. 5, (1995), No. 3, pp. 525-551.
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