Zobrazeno 1 - 10
of 199
pro vyhledávání: '"YU-HONG DAI"'
Autor:
Yu-Hong Dai, Xiong-Jie Yu, Hui-Ting Xu, Liang Zhuang, Ming-Sheng Zhang, Yan-Mei Zou, Qiang Fu, Hong Qiu, Xiang-Lin Yuan
Publikováno v:
Therapeutic Advances in Medical Oncology, Vol 14 (2022)
Background: This study aimed to investigate the superiority of nab -paclitaxel plus S-1 (AS) over oxaliplatin plus S-1 (SOX) in patients with advanced gastric cancer (AGC). Methods: In this multicenter, randomized, phase III superiority trial, eligib
Externí odkaz:
https://doaj.org/article/b4ab7941a8e048bab72e3f51451429c9
Publikováno v:
Sultan Qaboos University Journal for Science, Vol 17, Iss 1, Pp 30-43 (2012)
Based on the idea of maximum determinant positive definite matrix completion, Yamashita proposed a sparse quasi-Newton update, called MCQN, for unconstrained optimization problems with sparse Hessian structures. Such an MCQN update keeps the sparsity
Externí odkaz:
https://doaj.org/article/beeefb66aa75447fafb3a7b34dd70c4d
Autor:
YU-HONG DAI1,2 dyh@lsec.cc.ac.cn, JIANI WANG3 wjiani@lsec.cc.ac.cn, LIWEI ZHANG4,5 Zhanglw@mail.neu.edu.cn
Publikováno v:
SIAM Journal on Optimization. 2024, Vol. 34 Issue 3, p2883-2916. 34p.
Autor:
yu-hong dai, 戴宇宏
96
With explosion of information, it is very difficult to manage documents. How to efficiently find useful information in large information is very important. Clustering algorithm is a kind of technology to find characteristics of information an
With explosion of information, it is very difficult to manage documents. How to efficiently find useful information in large information is very important. Clustering algorithm is a kind of technology to find characteristics of information an
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/61605178574856574274
Publikováno v:
Journal of Applied & Numerical Optimization; 2024, Vol. 6 Issue 3, p323-338, 16p
Publikováno v:
Optimization Methods and Software. :1-27
Publikováno v:
IEEE Transactions on Automatic Control. 68:1085-1092
Publikováno v:
Journal of Global Optimization. 86:205-249
Publikováno v:
Journal of the Operations Research Society of China. 11:277-307
New insights and augmented Lagrangian algorithm for optimal portfolio liquidation with market impact
Publikováno v:
International Transactions in Operational Research. 30:2640-2664