Zobrazeno 1 - 10
of 439
pro vyhledávání: '"XIE Jiaxin"'
Publikováno v:
Open Medicine, Vol 19, Iss 1, Pp 1685-99 (2024)
Multiple organs are affected by the complex autoimmune illness known as systemic sclerosis (SSc), which has a high fatality rate. Genes linked to autophagy have been linked to the aetiology of SSc. It is yet unknown, though, whether autophagy-related
Externí odkaz:
https://doaj.org/article/47dca4d1068c4516b33787842cb3eac0
Publikováno v:
口腔疾病防治, Vol 31, Iss 12, Pp 863-870 (2023)
Objective To study the buccolingual inclination of posterior premolars and molars and the curve of Wilson in patients with different sagittal skeletal patterns, to explore the compensation mechanism of horizontal inclination of posterior teeth in pat
Externí odkaz:
https://doaj.org/article/a25ef0ebc8944bd594e25153345b39c5
Publikováno v:
Di-san junyi daxue xuebao, Vol 44, Iss 4, Pp 291-301 (2022)
Objective To observe the changes of protein phosphorylation levels in the hippocampus of mice with memory impairment caused by hypobaric hypoxia exposure, and to explore the key phosphorylated proteins and associated pathways involved in memory defic
Externí odkaz:
https://doaj.org/article/65464ecf73c34f6ca3f684a096f3e23f
Autor:
Han, Deren, Xie, Jiaxin
The Kaczmarz method and its variants, which are types of stochastic gradient descent (SGD) methods, have been extensively studied for their simplicity and efficiency in solving linear systems. Random reshuffling (RR), also known as SGD without replac
Externí odkaz:
http://arxiv.org/abs/2410.01140
In this paper, we propose a novel adaptive stochastic extended iterative method, which can be viewed as an improved extension of the randomized extended Kaczmarz (REK) method, for finding the unique minimum Euclidean norm least-squares solution of a
Externí odkaz:
http://arxiv.org/abs/2405.19044
Randomized iterative methods, such as the Kaczmarz method and its variants, have gained growing attention due to their simplicity and efficiency in solving large-scale linear systems. Meanwhile, absolute value equations (AVE) have attracted increasin
Externí odkaz:
http://arxiv.org/abs/2405.04091
The multi-step inertial randomized Kaczmarz (MIRK) method is an iterative method for solving large-scale linear systems. In this paper, we enhance the MIRK method by incorporating the greedy probability criterion, coupled with the introduction of a t
Externí odkaz:
http://arxiv.org/abs/2308.00467
The problem of finding a solution to the linear system $Ax = b$ with certain minimization properties arises in numerous scientific and engineering areas. In the era of big data, the stochastic optimization algorithms become increasingly significant d
Externí odkaz:
http://arxiv.org/abs/2307.16702
In this paper, we analyze the greedy randomized Kaczmarz (GRK) method proposed in Bai and Wu (SIAM J. Sci. Comput., 40(1):A592--A606, 2018) for solving linear systems. We develop more precise greedy probability criteria to effectively select the work
Externí odkaz:
http://arxiv.org/abs/2307.01988
The stochastic heavy ball momentum (SHBM) method has gained considerable popularity as a scalable approach for solving large-scale optimization problems. However, one limitation of this method is its reliance on prior knowledge of certain problem par
Externí odkaz:
http://arxiv.org/abs/2305.05482