Zobrazeno 1 - 10
of 1 104
pro vyhledávání: '"Qu, Zheng"'
This paper studies the sparse Moment-SOS hierarchy of relaxations for solving sparse polynomial optimization problems. We show that this sparse hierarchy is tight if and only if the objective can be written as a sum of sparse nonnegative polynomials,
Externí odkaz:
http://arxiv.org/abs/2406.06882
We consider the problem of maximizing a convex quadratic function over a bounded polyhedral set. We design a new framework based on SDP relaxation and cutting plane method for solving the associated reference value problem. The major novelty is a new
Externí odkaz:
http://arxiv.org/abs/2302.05930
Autor:
Qu, Zheng, Tang, Xindong
In this paper, we consider polynomial optimization with correlative sparsity. We construct correlatively sparse Lagrange multiplier expressions (CS-LMEs) and propose CS-LME reformulations for polynomial optimization problems using the Karush-Kuhn-Tuc
Externí odkaz:
http://arxiv.org/abs/2208.03979
Autor:
Tao Wang, Penghao Li, Xue Bai, Shilin Tian, Maosen Yang, Dong Leng, Hua Kui, Sujuan Zhang, Xiaomiao Yan, Qu Zheng, Pulin Luo, Changming He, Yan Jia, Zhoulin Wu, Huimin Qiu, Jing Li, Feng Wan, Muhammad A. Ali, Rurong Mao, Yong‐Xin Liu, Diyan Li
Publikováno v:
iMeta, Vol 3, Iss 3, Pp n/a-n/a (2024)
Abstract The vaginal microbiome plays an essential role in the reproductive health of human females. As infertility increases worldwide, understanding the roles that the vaginal microbiome may have in infertility and in vitro fertilization (IVF) trea
Externí odkaz:
https://doaj.org/article/f5f42b11231d4c9991a8f505a0d501ea
Autor:
Panyu Yang, Zhongyu Liu, Fenjian Lu, Yulin Sha, Penghao Li, Qu Zheng, Kefen Wang, Xin Zhou, Xiaoxi Zeng, Yongkang Wu
Publikováno v:
Frontiers in Immunology, Vol 15 (2024)
ObjectiveThis study aims to develop and validate machine learning models to predict proliferative lupus nephritis (PLN) occurrence, offering a reliable diagnostic alternative when renal biopsy is not feasible or safe.MethodsThis study retrospectively
Externí odkaz:
https://doaj.org/article/54db2d09cc4a48eea85f4d4a0e451c22
We build and train the artificial neural network model (ANN) based on the experimental $\alpha$-decay energy ($Q_{\alpha}$) data. Besides decays between the ground states of parent and daughter nuclei, decays from the ground state of parent nuclei to
Externí odkaz:
http://arxiv.org/abs/2203.09412
Publikováno v:
Chinese Medical Journal, Vol 137, Iss 5, Pp 562-564 (2024)
Externí odkaz:
https://doaj.org/article/a40c0a2c6b7c4694a663741182f92ba2
Publikováno v:
In Heliyon 15 September 2024 10(17)
Publikováno v:
In World Allergy Organization Journal September 2024 17(9)
Publikováno v:
In Journal of Systems Architecture September 2024 154