Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Shui-lian Xie"'
Autor:
Jun-jie Zhang, Yan Shen, Xiao-yuan Chen, Man-lei Jiang, Feng-hua Yuan, Shui-lian Xie, Jie Zhang, Fei Xu
Publikováno v:
Frontiers in Endocrinology, Vol 14 (2023)
IntroductionNon-alcoholic steatohepatitis (NASH), an advanced subtype of non-alcoholic fatty liver disease (NAFLD), has becoming the most important aetiology for end-stage liver disease, such as cirrhosis and hepatocellular carcinoma. This study were
Externí odkaz:
https://doaj.org/article/3479cf11db3c49f0ae810d21c5b15fc5
Publikováno v:
Journal of Inequalities and Applications, Vol 2021, Iss 1, Pp 1-14 (2021)
Abstract In this paper, we consider the numerical method for solving finite-dimensional quasi-variational inequalities with both equality and inequality constraints. Firstly, we present a semismooth equation reformulation to the KKT system of a finit
Externí odkaz:
https://doaj.org/article/f81f53626c414da4bcc5fb130d3c9ba8
Autor:
Shui-Lian Xie, Hong-Ru Xu
Publikováno v:
Mathematical Problems in Engineering, Vol 2021 (2021)
In this paper, we present an efficient method for finding a numerical solution for nonlinear complementarity problems (NCPs). We first reformulate an NCP as an equivalent system of fixed-point equations and then present a modulus-based matrix splitti
Autor:
Hong-Ru Xu, Shui-Lian Xie
Publikováno v:
Linear Algebra and its Applications. 584:394-408
In this paper, we present a two-level additive Schwarz method for a kind of tensor complementarity problem (TCP). The method is proved to be convergent monotonically and can reach the solution within finite steps. We report some preliminary numerical
Publikováno v:
Optimization Letters. 13:685-694
We are concerned with the tensor complementarity problem with positive semi-definite Z-tensor. Under the assumption that the problem has a solution at which the strict complementarity holds, we show that the problem is equivalent to a system of lower
Publikováno v:
Journal of Optimization Theory and Applications. 175:119-136
In this paper, we are concerned with finding the least solution to the tensor complementarity problem. When the involved tensor is strongly monotone, we present a way to estimate the nonzero elements of the solution in a successive manner. The proced
Autor:
Hong-Ru Xu, Shui-Lian Xie
Publikováno v:
Computers & Mathematics with Applications. 73:2581-2586
In this paper, we present a semismooth Newton method for a kind of HJB equation. By suitably choosing the initial iterative point, the method is proved to have monotone convergence. Moreover, the semismooth Newton method has local superlinear converg
Publikováno v:
Linear Algebra and its Applications. 494:1-10
In this paper, we reformulate the nonlinear complementarity problem as an implicit fixed-point equation. We establish a modulus-based matrix splitting iteration method based on the implicit fixed-point equation and prove its convergence theorem under
Publikováno v:
Numerical Linear Algebra with Applications. 24:e2102
Summary The Jacobi, Gauss-Seidel and successive over-relaxation methods are well-known basic iterative methods for solving system of linear equations. In this paper, we extend those basic methods to solve the tensor equation Axm−1−b=0, where A is
Publikováno v:
Applied Mathematics Letters. (3):279-282
In this work, an iterative algorithm for solving a kind of discrete HJB equation with M -functions is proposed and monotone convergence is obtained. Furthermore, a domain decomposition method based on the iterative algorithm is also presented.