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A note on a family of proximal gradient methods for quasi-static incremental problems in elastoplast
[期刊论文] 作者：Yoshihiro Kanno,
来源：力学快报:英文版 年份：2020
Accelerated proximal gradient methods have recently been developed for solving quasi-static incremental problems of elastoplastic analysis with some different y...
[期刊论文] 作者：Yoshihiro Kanno,
来源：力学快报:英文版 年份：2018
This paper presents a simple nonparametric regression approach to data-driven computing in elasticity.We apply the kernel regression to the material data set,an...
[会议论文] 作者：Yoshihiro Kanno,
来源：7th China-Japan-Korea Joint Symposium on Optimization of Str 年份：2012
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Alternating minimization for data-driven computational elasticity from experimental data: kernel met
[期刊论文] 作者：Yoshihiro Kanno,
来源：力学快报（英文版） 年份：2021
Data-driven computing in elasticity attempts to directly use experimental data on material, without con- structing an empirical model of the constitutive relation, to predict an equilibrium state of a structure subjected to a specified exte......
A Simple Heuristic Based on Alternating Direction Method of Multipliers for Solving Mixed-Integer No
[会议论文] 作者：Yoshihiro Kanno,Satoshi Kitayama,
来源：Asian Congress of Structural and Multidisciplinary Optimizat 年份：2018
The alternating direction method of multipliers (ADMM) is one of classical methods for solving convex optimization problems.Recently,it has been recognized...
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