supported by the National Natural Science Foundation of China(No.61976027);the Natural Science Foundation of Liaoning Province(No.2022-MS-371);Educational Commission Foundation of Liaoning Province of China(Nos.LJKMZ20221492 and LJKMZ20221498);the Key Project of Bohai University(No.0522xn078).
We analyze the dynamical behavior of an eighth-order Sharma's iterative scheme,which contains a single parameter,with respect to an arbitrary quadratic polynomial using complex analysis.The eighth-order Sharma's itera...
funded by the Science and Technology Innovation Committee Foundation of Shenzhen,China(Nos.JCYJ20200109141403840 and ZDSYS20220527171405012);the National Natural Science Foundation of China(No.52106045);the Pearl River Talent Recruitment Program,China(No.2019CX01Z084)。
Iterative coupled methods are widely used in multi-fidelity simulation of rotating components due to the simple implementation,which iteratively eliminates the errors between the computational fluid dynamics models an...
Supported by the National Natural Science Foundation of China under Grant(62301330,62101346);the Guangdong Basic and Applied Basic Research Foundation(2024A1515010496,2022A1515110101);the Stable Support Plan for Shenzhen Higher Education Institutions(20231121103807001);the Guangdong Provincial Key Laboratory under(2023B1212060076).
Background Co-salient object detection(Co-SOD)aims to identify and segment commonly salient objects in a set of related images.However,most current Co-SOD methods encounter issues with the inclusion of irrelevant info...
supported by the National Natural Science Foundation of China (No.12271518);the Key Program of the National Natural Science Foundation of China (No.62333016)。
In this paper,we construct a new sixth order iterative method for solving nonlinear equations.The local convergence and order of convergence of the new iterative method is demonstrated.In order to check the validity o...
supported by the NSFC Major Research Plan--Interpretable and Generalpurpose Next-generation Artificial Intelligence(No.92370205).
Machine learning has been widely used for solving partial differential equations(PDEs)in recent years,among which the random feature method(RFM)exhibits spectral accuracy and can compete with traditional solvers in te...
supported by the National Natural Science Foundation of China(52077193).
The limitations of the conventional master-slavesplitting(MSS)method,which is commonly applied to power flow and optimal power flow in integrated transmission and distribution(I-T&D)networks,are first analyzed.Conside...
supported by National Natural Science Foundation of China(62371225,62371227)。
Linear minimum mean square error(MMSE)detection has been shown to achieve near-optimal performance for massive multiple-input multiple-output(MIMO)systems but inevitably involves complicated matrix inversion,which ent...
supported by the National Natural Science Foundation of China (No. 12001311);Science Foundation of China University of Petroleum,Beijing (No. 2462021YJRC025);the State Key Laboratory of Petroleum Resources and Prospecting,China University of Petroleum。
In this paper, we present a minimum residual based gradient iterative method for solving a class of matrix equations including Sylvester matrix equations and general coupled matrix equations. The iterative method uses...
funded by Iran National Science Foundation(INSF)under Project No.4013447.
In this study,based on an iterative method to solve nonlinear equations,a third-order convergent iterative method to compute the Moore-Penrose inverse of a tensor with the Einstein product is presented and analyzed.Nu...
An Alternating Group Explicit (AGE) iterative method with intrinsic parallelism is constructed based on an implicit scheme for the Regularized Long-Wave (RLW) equation. The method can be used for the iteration solutio...