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Hiroyuki Sakai 0007

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affiliation: Meiji University, Department of Computer Science, Kawasaki-shi, Kanagawa, Japan

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2020 – today

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2023
[j5]
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Hiroyuki Sakai, Hiroyuki Sato, Hideaki Iiduka:
Global convergence of Hager-Zhang type Riemannian conjugate gradient method. Appl. Math. Comput. 441: 127685 (2023)
[i1]
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Hiroyuki Sakai, Hideaki Iiduka:
Modified memoryless spectral-scaling Broyden family on Riemannian manifolds. CoRR abs/2307.08986 (2023)
2022
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Hideaki Iiduka, Hiroyuki Sakai:
Riemannian stochastic fixed point optimization algorithm. Numer. Algorithms 90(4): 1493-1517 (2022)
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Hiroyuki Sakai, Hideaki Iiduka:
Riemannian Adaptive Optimization Algorithm and its Application to Natural Language Processing. IEEE Trans. Cybern. 52(8): 7328-7339 (2022)
2021
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Hiroyuki Sakai, Hideaki Iiduka:
Sufficient Descent Riemannian Conjugate Gradient Methods. J. Optim. Theory Appl. 190(1): 130-150 (2021)
2020
[j1]
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Hiroyuki Sakai, Hideaki Iiduka:
Hybrid Riemannian conjugate gradient methods with global convergence properties. Comput. Optim. Appl. 77(3): 811-830 (2020)

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