| 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 次のリビジョン両方とも次のリビジョン |
| en:intro:researches:optimization [2019/09/05 11:09] – [Decentralized Optimization Algorithms] Hideaki IIDUKA | en:intro:researches:optimization [2019/10/16 13:01] – [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. 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 (accepted) | |
| * [[: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 (accepted) | * [[: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 (accepted) |
| | * 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]]: [[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. |
| * K. Sakurai, T. Jimba, and [[:iiduka:|H. Iiduka]]: [[http://jnva.biemdas.com/archives/843|Iterative methods for parallel convex optimization with fixed point constraints]], Journal of Nonlinear and Variational Analysis, Vol. 3, No. 2, pp.115-126, 2019. | * K. Sakurai, T. Jimba, and [[:iiduka:|H. Iiduka]]: [[http://jnva.biemdas.com/archives/843|Iterative Methods for Parallel Convex Optimization with Fixed Point Constraints]], Journal of Nonlinear and Variational Analysis, Vol. 3, No. 2, pp.115-126, 2019. |
| * [[http://gyoseki1.mind.meiji.ac.jp/mjuhp/KgApp?kyoinId=ymkdgygyggy&Language=2|Y. Hayashi]] and [[:en:iiduka:|H. Iiduka]]:[[http://www.sciencedirect.com/science/article/pii/S0925231217313486|Optimality and Convergence for Convex Ensemble Learning with Sparsity and Diversity Based on Fixed Point Optimization]], Neurocomputing, Vol. 273, pp.367-372, 2018. | * [[http://gyoseki1.mind.meiji.ac.jp/mjuhp/KgApp?kyoinId=ymkdgygyggy&Language=2|Y. Hayashi]] and [[:en:iiduka:|H. Iiduka]]:[[http://www.sciencedirect.com/science/article/pii/S0925231217313486|Optimality and Convergence for Convex Ensemble Learning with Sparsity and Diversity Based on Fixed Point Optimization]], Neurocomputing, Vol. 273, pp.367-372, 2018. |
| * [[en:iiduka:|H. Iiduka]]: [[http://www.tandfonline.com/doi/full/10.1080/02331934.2016.1252914|Almost Sure Convergence of Random Projected Proximal and Subgradient Algorithms for Distributed Nonsmooth Convex Optimization]], Optimization, Vol. 66, No. 1, pp.35-59, 2017. | * [[en:iiduka:|H. Iiduka]]: [[http://www.tandfonline.com/doi/full/10.1080/02331934.2016.1252914|Almost Sure Convergence of Random Projected Proximal and Subgradient Algorithms for Distributed Nonsmooth Convex Optimization]], Optimization, Vol. 66, No. 1, pp.35-59, 2017. |
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| ==== Decentralized Optimization Algorithms ==== | ==== Decentralized Optimization Algorithms ==== |
| | * K. Hishinuma and [[en:iiduka:|H. Iiduka]]: [[https://doi.org/10.1016/j.ejor.2019.09.037|Fixed Point Quasiconvex Subgradient Method]], European Journal of Operational Research (accepted).[[https://arxiv.org/abs/1811.06708|preprint]] |
| * [[en:iiduka:|H. Iiduka]]: [[http://www.ybook.co.jp/|Distributed Iterative Methods for Solving Nonmonotone Variational Inequality over the Intersection of Fixed Point Sets of Nonexpansive Mappings]], Pacific Journal of Optimization, Vol. 10, No. 4, pp. 691-713, 2014. | * [[en:iiduka:|H. Iiduka]]: [[http://www.ybook.co.jp/|Distributed Iterative Methods for Solving Nonmonotone Variational Inequality over the Intersection of Fixed Point Sets of Nonexpansive Mappings]], Pacific Journal of Optimization, Vol. 10, No. 4, pp. 691-713, 2014. |
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