文書の過去の版を表示しています。
Publications
Preprints
- preprints (arXiv.org Search Results)
2019
Publications in Refereed Journals
- Kazuhiro Hishinuma, Hideaki Iiduka: Convergence Analysis of Incremental and Parallel Line Search Subgradient Methods in Hilbert Space, Journal of Nonlinear and Convex Analysis: Special Issue-Dedicated to Wataru Takahashi on the occasion of his 75th birth day (accepted)
- Kaito Sakurai, Takayuki Jimba, Hideaki Iiduka: Iterative Methods for Parallel Convex Optimization with Fixed Point Constraints, Journal of Nonlinear and Variational Analysis 3(2): 115-126 (2019) Open Access
2018
Publications in Refereed Journals
- Keigo Fujiwara, Kazuhiro Hishinuma, Hideaki Iiduka: Evaluation of Stochastic Approximation Algorithm and Variants for Learning Support Vector Machines, Linear and Nonlinear Analysis, 4(1): 29-61 (2018) Open Access
Invited Talks
- Hideaki Iiduka: Decentralized Optimization and Its Applications, the 6th Asian Conference on Nonlinear Analysis and Optimization, ANA Intercontinental Manza Beach Resort (Nov. 6, 2018)
Conference Activities & Talks
- Kazuhiro Hishinuma, Hideaki Iiduka: Convergence property, computational performance, and usability of fixed point quasiconvex subgradient method, the 6th Asian Conference on Nonlinear Analysis and Optimization, Okinawa Institute of Science and Technology Graduate University (Nov. 7, 2018)
- Yu Kobayashi, Hideaki Iiduka: Stochastic subgradient projection method for nonmonotone equilibrium problems and its application to multi class classification, the 6th Asian Conference on Nonlinear Analysis and Optimization, Okinawa Institute of Science and Technology Graduate University (Nov. 5, 2018)
- Hideo Yoshizato, Hideaki Iiduka: Stochastic fixed point optimization algorithm for classifier ensemble with sparsity and diversity learning and its application, the 6th Asian Conference on Nonlinear Analysis and Optimization, Okinawa Institute of Science and Technology Graduate University (Nov. 5, 2018)
- Yu Kobayashi, Hideaki Iiduka: Stochastic subgradient method for stochastic equilibrium problems with nonmonotone bifunctions and its application to multiclass classification, RIMS Workshop on Nonlinear Analysis and Convex Analysis, Research Institute for Mathematical Sciences, Kyoto University (Aug. 29, 2018)
- Kazuhiro Hishinuma, Hideaki Iiduka: Application of incremental and parallel subgradient methods to learning a support vector machine and its advantages and disadvantages, The 2018 Spring National Conference of Operations Research Society of Japan, Tokai University (Mar. 15, 2018).
- Hideo Yoshizato, Hideaki Iiduka: Stochastic fixed point optimization algorithm for ensemble learning with sparsity and diversity, The 2018 Spring National Conference of Operations Research Society of Japan, Tokai University (Mar. 15, 2018).
2017
Publications in Refereed Journals
- Keigo Fujiwara, Hideaki Iiduka: Modification of the Krasnosel'skii-Mann Fixed Point Algorithm by Using Three-term Conjugate Gradients, Linear and Nonlinear Analysis, 3(2):189-202 (2017) Open Access
Proceedings
- Hideaki Iiduka: Nonsmooth Convex Optimization with Fixed Point Constraints and Its Applications, Proceedings of the Twenty-Ninth RAMP Symposium, pp. 125–142, 2017.
Invited Talks
- Hideaki Iiduka: Nonsmooth Convex Optimization with Fixed Point Constraints and Its Applications, The 29th RAMP (Research Association of Mathematical Programming) Symposium, Tsukuba University, Tsukuba, Japan, October 12-13, 2017.
Conference Activities & Talks
- Kazuhiro Hishinuma, Hideaki Iiduka: Iterative method for solving constrained quasiconvex optimization problems based on the Krasnosel'skiĭ-Mann fixed point approximation method, RIMS Workshop on Nonlinear Analysis and Convex Analysis, Research Institute for Mathematical Sciences, Kyoto University (Sep. 1, 2017)
- Kazuhiro Hishinuma, Hideaki Iiduka: Quasi-subgradient method for quasiconvex minimization problem with fixed point constraints, the RIMS Workshop on Development of Mathematical Optimization: Modeling and Algorithms, Research Institute for Mathematical Sciences, Kyoto University (Aug. 25 2017)
- Kazuhiro Hishinuma, Hideaki Iiduka: Flexible stepsize selection of subgradient methods for constrained convex optimization, the 10th Anniversary Conference on Nonlinear Analysis and Convex Analysis, Chitose City Cultural Center (Jul. 7, 2017)
2016
Publications in Refereed Journals
Conference Activities & Talks
- Kazuhiro Hishinuma, Hideaki Iiduka: Acceleration approach for parallel subgradient method based on line search, The 2016 Fall National Conference of Operations Research Society of Japan, Yamagata University (Sept. 15-16 2016)
- Kaito Sakurai, Hideaki Iiduka: Parallel computing method for nonsmooth convex optimization with fixed point constraints, The 2016 Fall National Conference of Operations Research Society of Japan, Yamagata University (Sept. 15-16 2016)
- Yoshiharu Nohara, Hideaki Iiduka: Line search subgradient methods for convex optimization problem and its dual problem, The 2016 Fall National Conference of Operations Research Society of Japan, Yamagata University (Sept. 15-16 2016)
- Takayuki Jimba, Kaito Sakurai, Hideaki Iiduka: Halpern-type proximal point algorithm for nonsmooth convex optimization with fixed point constraints, The 2016 Fall National Conference of Operations Research Society of Japan, Yamagata University (Sept. 15-16 2016)
- Shizuka Nishino, Hideaki Iiduka: Numerical methods for nonnegative matrix factorization based on fixed point theory, The 2016 Fall National Conference of Operations Research Society of Japan, Yamagata University (Sept. 15-16 2016)
2015
Publications in Refereed Journals
- Kazuhiro Hishinuma, Hideaki Iiduka: On Acceleration of the Krasnosel’skii-Mann Fixed Point Algorithm Based on Conjugate Gradient Method for Smooth Optimization, Journal of Nonlinear and Convex Analysis: Special Issue-Dedicated to Wataru Takahashi on the occasion of his 70th birth day 16(11): 2243-2254 (2015) Open Access PDF
- Hideaki Iiduka: Distributed Convex Optimization Algorithms and Their Application to Distributed Control in Peer-to-Peer Data Storage System,Journal of Nonlinear and Convex Analysis: Special Issue-Dedicated to Wataru Takahashi on the occasion of his 70th birth day 16(11): 2159-2179 (2015) Open Access PDF
- Kazuhiro Hishinuma, Hideaki Iiduka : Parallel Subgradient Method for Nonsmooth Convex Optimization with a Simple Constraint, Linear and Nonlinear Analysis 1(1): 67-77 (2015) PDF Open Access
- Masato Uchida, Hideaki Iiduka, Isao Sugino: Modeling User Behavior in P2P Data Storage System, IEICE Transactions on Communications: Special Section on Quality of Diversifying Communication Networks and Services E98-B(1): 33-41 (2015) PDF
Proceedings
- Kazuhiro Hishinuma, Hideaki Iiduka: Parallel Computing Method for Nonsmooth Convex Optimization, RIMS Kôkyûroku No.1963, pp.71–77 Open Access
2014
Publications in Refereed Journals
- Hideaki Iiduka, Kazuhiro Hishinuma: Acceleration Method Combining Broadcast and Incremental Distributed Optimization Algorithms, SIAM Journal on Optimization 24(4): 1840–1863 (2014) PDF
- Shigeru Iemoto, Kazuhiro Hishinuma, Hideaki Iiduka: Approximate Solutions to Variational Inequality over the Fixed Point Set of a Strongly Nonexpansive Mapping, Fixed Point Theory and Applications 2014:51 (2014) PDF
Conference Activities & Talks
- Kazuhiro Hishinuma, Hideaki Iiduka: On Parallel Computing Method for Nonsmooth Convex Optimization, The 2014 Fall National Conference of Operations Research Society of Japan, Hokkaido University of Science (Aug. 28-29 2014)
- Kazuhiro Hishinuma, Hideaki Iiduka: Parallel Algorithm for Nonsmooth Convex Optimization, The International Workshop on Nonlinear Analysis and Convex Analysis, Research Institute for Mathematical Sciences, Kyoto University (Aug. 19-21 2014)
2013
Publications in Refereed Journals
2004~2012
- Please refer to Iiduka's profile page for his publications published before 2012.