A reduced-order extrapolated technique about the unknown coefficient vectors of solutions in the finite element method for hyperbolic type equation

Z Luo, W Jiang - Applied Numerical Mathematics, 2020 - Elsevier
This paper is mainly concerned with developing and establishing the reduced-order
extrapolated format about the unknown coefficient vectors in numerical solutions to the finite …

The reduced-dimension technique for the unknown solution coefficient vectors in the Crank–Nicolson finite element method for the Sobolev equation

Y Zeng, Z Luo - Journal of Mathematical Analysis and Applications, 2022 - Elsevier
In this paper, we mainly deal with the reduced-dimension of coefficient vectors of unknown
solutions for the Crank–Nicholson finite element (CNFE) method of the Sobolev equation …

The reduced-order extrapolating method about the Crank-Nicolson finite element solution coefficient vectors for parabolic type equation

Z Luo - Mathematics, 2020 - mdpi.com
This study is mainly concerned with the reduced-order extrapolating technique about the
unknown solution coefficient vectors in the Crank-Nicolson finite element (CNFE) method for …

A novel direct method based on the Lucas multiwavelet functions for variable‐order fractional reaction‐diffusion and subdiffusion equations

H Dehestani, Y Ordokhani… - Numerical Linear Algebra …, 2021 - Wiley Online Library
In this article, we study the numerical technique for variable‐order fractional reaction‐
diffusion and subdiffusion equations that the fractional derivative is described in Caputo's …

Implementation of the KSOR Method for Solving One-Dimensional Time-Fractional Parabolic Partial Differential Equations with the Caputo Finite Difference Scheme …

MU Alibubin, J Sulaiman, FA Muhiddin… - Journal of Advanced …, 2024 - semarakilmu.com.my
This study presents numerical solution of time-fractional linear parabolic partial differential
equations (PDEs) using the Caputo finite difference scheme. The discretization process is …

A reduced-dimension extrapolation two-grid Crank-Nicolson finite element method of unknown solution coefficient vectors for spatial fractional nonlinear Allen-Cahn …

H Li, Y Li, Y Zeng, Z Luo - Computers & Mathematics with Applications, 2024 - Elsevier
This paper mainly focuses on the dimensionality reduction of unknown finite element (FE)
solution coefficient vectors in two-grid Crank-Nicolson FE (TGCNFE) method for the spatial …

The dimension reduction method of two-grid Crank–Nicolson mixed finite element solution coefficient vectors for nonlinear fourth-order reaction diffusion equation with …

Y Zeng, Y Li, Y Zeng, Y Cai, Z Luo - Communications in Nonlinear Science …, 2024 - Elsevier
Herein, we mainly resort to a proper orthogonal decomposition (POD) to study the
dimension reduction of unknown solution coefficient vectors in the two-grid Crank–Nicolson …

A Reduced-Dimension Extrapolating Method of Finite Element Solution Coefficient Vectors for Fractional Tricomi-Type Equation

Y Li, Z Luo - Mathematics, 2023 - mdpi.com
We here employ a proper orthogonal decomposition (POD) to reduce the dimensionality of
unknown coefficient vectors of finite element (FE) solutions for the fractional Tricomi-type …

A POD based extrapolation DG time stepping space-time FE method for parabolic problems

S He, H Li, Y Liu - Journal of Mathematical Analysis and Applications, 2024 - Elsevier
Based on the proper orthogonal decomposition technique, a new reduced-order
discontinuous time stepping space-time finite element extrapolation iterative scheme is …

Two-grid dimension reduction method of Crank-Nicolson mixed finite element solution coefficient vectors for the fourth-order extended Fisher-Kolmogorov equation

Y Li, F Teng, Y Zeng, Z Luo - Journal of Mathematical Analysis and …, 2024 - Elsevier
In this article, we mainly resort to a proper orthogonal decomposition (POD) method to
reduce the dimensionality of unknown mixed finite element (MFE) solution coefficient vectors …