Cui-Xia Li
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View article: The "Five Forces Model" and strategies for enhancing the influence of scientific journals
The "Five Forces Model" and strategies for enhancing the influence of scientific journals Open
Background: Based on relevant theory of science of science, we aimed to construct a model for evaluating the influence of science journals and thereby propose strategies to enhance their impact. Methods: By using methods such as a literatu…
View article: A review of reinforcement learning based hyper-heuristics
A review of reinforcement learning based hyper-heuristics Open
The reinforcement learning based hyper-heuristics (RL-HH) is a popular trend in the field of optimization. RL-HH combines the global search ability of hyper-heuristics (HH) with the learning ability of reinforcement learning (RL). This syn…
View article: A Review of Endogenous Security Research
A Review of Endogenous Security Research Open
The development of society has deepened the application of the Internet in production and daily life. At the same time, network security risks are becoming increasingly severe. For the security problems faced in cyberspace, most of the tra…
View article: A class of maximum-based iteration methods for the generalized absolute value equation
A class of maximum-based iteration methods for the generalized absolute value equation Open
In this paper, by using $|x|=2\max\{0,x\}-x$, a class of maximum-based iteration methods is established to solve the generalized absolute value equation $Ax-B|x|=b$. Some convergence conditions of the proposed method are presented. By some…
View article: A TWO-STEP MATRIX SPLITTING METHOD FOR THE MIXED LINEAR COMPLEMENTARITY PROBLEM
A TWO-STEP MATRIX SPLITTING METHOD FOR THE MIXED LINEAR COMPLEMENTARITY PROBLEM Open
In this paper, on the base of the methodology of the new modulus-based matrix splitting method in [Optim. Lett., (2022) 16:1427–1443], we establish a two-step matrix splitting (TMS) method for solving the mixed linear complementarity probl…
View article: FASTune: Towards Fast and Stable Database Tuning System with Reinforcement Learning
FASTune: Towards Fast and Stable Database Tuning System with Reinforcement Learning Open
Configuration tuning is vital to achieving high performance for a database management system (DBMS). Recently, automatic tuning methods using Reinforcement Learning (RL) have been explored to find better configurations compared with databa…
View article: An Improved Convergence Condition of the MMS Iteration Method for Horizontal LCP of H+-Matrices
An Improved Convergence Condition of the MMS Iteration Method for Horizontal LCP of H+-Matrices Open
In this paper, inspired by the previous work in (Appl. Math. Comput., 369 (2020) 124890), we focus on the convergence condition of the modulus-based matrix splitting (MMS) iteration method for solving the horizontal linear complementarity …
View article: Community Detection in Multilayer Networks Based on Matrix Factorization and Spectral Embedding Method
Community Detection in Multilayer Networks Based on Matrix Factorization and Spectral Embedding Method Open
Community detection remains a challenging research hotspot in network analysis. With the complexity of the network data structures increasing, multilayer networks, in which entities interact through multiple types of connections, prove to …
View article: Task Scheduling Based on Adaptive Priority Experience Replay on Cloud Platforms
Task Scheduling Based on Adaptive Priority Experience Replay on Cloud Platforms Open
Task scheduling algorithms based on reinforce learning (RL) have been important methods with which to improve the performance of cloud platforms; however, due to the dynamics and complexity of the cloud environment, the action space has a …
View article: THE SHSS PRECONDITIONER FOR SADDLE POINT PROBLEMS
THE SHSS PRECONDITIONER FOR SADDLE POINT PROBLEMS Open
In this paper, building on the previous published work by Li and Wu [Appl. Math, Lett., 2015, 44, 26–29], we extend the single-step HSS (SHSS) method for saddle point problems. Based on the idea of SHSS method, the SHSS preconditioner for …
View article: A generalized two-sweep shift splitting methodfor non-Hermitian positive definite linear systems
A generalized two-sweep shift splitting methodfor non-Hermitian positive definite linear systems Open
In this paper, based on the shift splitting of the coefficient matrix, a generalized two-sweep shift splitting (GTSS) method is introduced to solve the non-Hermitian positive definite linear systems. Theoretical analysis shows that the GTS…
View article: A generalization of the AOR iteration method for solving absolute value equations
A generalization of the AOR iteration method for solving absolute value equations Open
In this paper, based on the accelerated over relaxation (AOR) iteration method, a generalization of the AOR iteration method is presented to solve the absolute value equations (AVE), which is called the GAOR method. The convergence conditi…
View article: Relaxed Modulus-Based Matrix Splitting Methods for the Linear Complementarity Problem
Relaxed Modulus-Based Matrix Splitting Methods for the Linear Complementarity Problem Open
In this paper, we obtain a new equivalent fixed-point form of the linear complementarity problem by introducing a relaxed matrix and establish a class of relaxed modulus-based matrix splitting iteration methods for solving the linear compl…
View article: Sufficient conditions for the unique solution of a class of new Sylvester-like absolute value equation
Sufficient conditions for the unique solution of a class of new Sylvester-like absolute value equation Open
In this paper, a class of new Sylvester-like absolute value equation (AVE) $AXB-|CXD|=E$ with $A,C\in \mathbb{R}^{m\times n}$, $B,D\in \mathbb{R}^{p\times q}$ and $E\in \mathbb{R}^{m\times q}$ is considered, which is quite distinct from th…
View article: A multi-objective hyper-heuristic algorithm based on adaptive epsilon-greedy selection
A multi-objective hyper-heuristic algorithm based on adaptive epsilon-greedy selection Open
A variety of meta-heuristics have shown promising performance for solving multi-objective optimization problems (MOPs). However, existing meta-heuristics may have the best performance on particular MOPs, but may not perform well on the oth…
View article: Modified BAS iteration method for absolute value equation
Modified BAS iteration method for absolute value equation Open
In this paper, to improve the convergence speed of the block-diagonal and anti-block-diagonal splitting (BAS) iteration method, we design a modified BAS (MBAS) method to obtain the numerical solution of the absolute value equation. Theoret…
View article: Modified SOR-Like Method for Absolute Value Equations
Modified SOR-Like Method for Absolute Value Equations Open
In this paper, based on the work of Ke and Ma, a modified SOR-like method is presented to solve the absolute value equations (AVE), which is gained by equivalently expressing the implicit fixed-point equation form of the AVE as a two-by-tw…
View article: Generalized SOR-Like Iteration Method for Linear Complementarity Problem
Generalized SOR-Like Iteration Method for Linear Complementarity Problem Open
In this paper, we present a generalized SOR-like iteration method to solve the non-Hermitian positive definite linear complementarity problem (LCP), which is obtained by reformulating equivalently the implicit fixed-point equation of the L…
View article: A note on the unique solution of linear complementarity problem
A note on the unique solution of linear complementarity problem Open
In this note, the unique solution of the linear complementarity problem (LCP) is further discussed. Using the absolute value equations, some new results are obtained to guarantee the unique solution of the LCP for any real vector.
View article: On the modified Hermitian and skew-Hermitian splitting iteration methods for a class of weakly absolute value equations
On the modified Hermitian and skew-Hermitian splitting iteration methods for a class of weakly absolute value equations Open
In this paper, based on the modified Hermitian and skew-Hermitian splitting (MHSS) iteration method, the nonlinear MHSS-like iteration method is presented to solve a class of the weakly absolute value equations (AVE). By using a smoothing …
View article: Block Preconditioners for Complex Symmetric Linear System with Two-by-Two Block Form
Block Preconditioners for Complex Symmetric Linear System with Two-by-Two Block Form Open
Based on the previous work by Zhang and Zheng (A parameterized splitting iteration method for complex symmetric linear systems, Japan J. Indust. Appl. Math., 31 (2014) 265–278), three block preconditioners for complex symmetric linear syst…