| 両方とも前のリビジョン 前のリビジョン 次のリビジョン | 前のリビジョン最新のリビジョン両方とも次のリビジョン |
| en:intro:researches:optimization [2020/02/21 11:30] – [Decentralized Optimization Algorithms] Hideaki IIDUKA | en:intro:researches:optimization [2020/02/21 11:32] – [Decentralized Optimization Algorithms] Hideaki IIDUKA |
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| The following are the results of the algorithms based on the above methods. | The following are the results of the algorithms based on the above methods. |
| ==== Decentralized Optimization Algorithms ==== | ==== Decentralized Optimization Algorithms ==== |
| * K. Shimizu, K. Hishinuma, [[:en:iiduka:|H. Iiduka]]: Parallel Computing Proximal Method for Nonsmooth Convex Optimization with Fixed Point Constraints of Quasi-nonexpansive Mappings, submitted | * K. Shimizu, K. Hishinuma, [[:en:iiduka:|H. Iiduka]]: Parallel Computing Proximal Method for Nonsmooth Convex Optimization With Fixed Point Constraints of Quasi-nonexpansive Mappings, Applied Set-Valued Analysis and Optimization, accepted |
| * H. Oishi, Y. Kobayashi, [[:en:iiduka:|H. Iiduka]]: [[http://www.ybook.co.jp/online-p/LNA/Open/vol5/lnav5n3p477-oa/index.html|Incremental Proximal Method for Nonsmooth Convex Optimization With Fixed Point Constraints of Quasi-nonexpansive Mappings]], Linear and Nonlinear Analysis, Vol. 5, No. 3, pp. 477-493, 2019. | * H. Oishi, Y. Kobayashi, [[:en:iiduka:|H. Iiduka]]: [[http://www.ybook.co.jp/online-p/LNA/Open/vol5/lnav5n3p477-oa/index.html|Incremental Proximal Method for Nonsmooth Convex Optimization With Fixed Point Constraints of Quasi-nonexpansive Mappings]], Linear and Nonlinear Analysis, Vol. 5, No. 3, pp. 477-493, 2019. |
| * [[:en:iiduka:|H. Iiduka]]: [[https://ieeexplore.ieee.org/document/8584116|Distributed Optimization for Network Resource Allocation with Nonsmooth Utility Functions]], IEEE Transactions on Control of Network Systems, Vol. 6, No. 4, pp. 1354-1365, 2019. | * [[:en:iiduka:|H. Iiduka]]: [[https://ieeexplore.ieee.org/document/8584116|Distributed Optimization for Network Resource Allocation with Nonsmooth Utility Functions]], IEEE Transactions on Control of Network Systems, Vol. 6, No. 4, pp. 1354-1365, 2019. |
| * K. Hishinuma and [[en:iiduka:|H. 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, Vol. 20, No. 9, pp.1937-1947, 2019. | * K. Hishinuma and [[en:iiduka:|H. Iiduka]]: [[http://www.ybook.co.jp/online2/opjnca/vol20/p1937.html|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, Vol. 20, No. 9, pp.1937-1947, 2019. |
| * K. Hishinuma and [[:en:iiduka:|H. Iiduka]]: [[https://www.frontiersin.org/articles/10.3389/frobt.2019.00077/full|Incremental and Parallel Machine Learning Algorithms with Automated Learning Rate Adjustments]], Frontiers in Robotics and AI: Resolution of Limitations of Deep Learning to Develop New AI Paradigms, Vol. 6, Article 77, 2019. | * K. Hishinuma and [[:en:iiduka:|H. Iiduka]]: [[https://www.frontiersin.org/articles/10.3389/frobt.2019.00077/full|Incremental and Parallel Machine Learning Algorithms with Automated Learning Rate Adjustments]], Frontiers in Robotics and AI: Resolution of Limitations of Deep Learning to Develop New AI Paradigms, Vol. 6, Article 77, 2019. |
| * [[:en:iiduka:|H. Iiduka]]: [[http://www.tandfonline.com/doi/full/10.1080/10556788.2018.1425860|Two Stochastic Optimization Algorithms for Convex Optimization with Fixed Point Constraints]], Optimization Methods and Software, Vol. 34, No. 4, pp.731-757, 2019. | * [[:en:iiduka:|H. Iiduka]]: [[http://www.tandfonline.com/doi/full/10.1080/10556788.2018.1425860|Two Stochastic Optimization Algorithms for Convex Optimization with Fixed Point Constraints]], Optimization Methods and Software, Vol. 34, No. 4, pp.731-757, 2019. |