A reduced-order two-grid method based on POD technique for the semilinear parabolic equation

被引:0
作者
Song, Junpeng [1 ]
Rui, Hongxing [1 ]
机构
[1] Shandong Univ, Sch Math, Jinan 250100, Peoples R China
基金
中国国家自然科学基金;
关键词
Degrees of freedom; Semilinear parabolic equation; Proper orthogonal decomposition; Error estimate; FINITE-ELEMENT-METHOD; MODEL-REDUCTION; NUMERICAL-ANALYSIS; GALERKIN METHOD; DISCRETIZATION; ALGORITHM; SCHEME;
D O I
10.1016/j.apnum.2024.07.012
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
In the conventional two-grid (TG) method, the nonlinear system on the fine grid is transformed into a nonlinear subsystem on the coarse grid and a linear subsystem on the fine grid to reduce computational costs. It has been successfully applied in various fields. Nonetheless, its computational efficiency remains relatively low. For this, we develop a novel reduced-order two- grid (ROTG) method with less degrees of freedom for solving the semilinear parabolic equation. For the two subsystems mentioned, the proper orthogonal decomposition (POD) technique is utilized to substantially reduce degrees of freedom. An a priori error estimate for the ROTG scheme is derived. Finally, we conduct several numerical tests to observe the ROTG method's behavior and verify the theoretical analysis.
引用
收藏
页码:240 / 254
页数:15
相关论文
共 55 条
  • [1] A residual based snapshot location strategy for POD in distributed optimal control of linear parabolic equations
    Alla, A.
    Graessle, C.
    Hinze, M.
    [J]. IFAC PAPERSONLINE, 2016, 49 (08): : 13 - 18
  • [2] Input-output analysis, model reduction and control of the flat-plate boundary layer
    Bagheri, Shervin
    Brandt, Luca
    Henningson, Dan S.
    [J]. JOURNAL OF FLUID MECHANICS, 2009, 620 : 263 - 298
  • [3] Closed-loop control of an open cavity flow using reduced-order models
    Barbagallo, Alexandre
    Sipp, Denis
    Schmid, Peter J.
    [J]. JOURNAL OF FLUID MECHANICS, 2009, 641 : 1 - 50
  • [4] Benner P., 2021, Systemand Data-Driven Methods and Algorithms, V1
  • [5] Benner P., 2017, Model Reduction and Approximation: Theory and Algorithms, DOI [DOI 10.1137/1.9781611974829, 10.1137/1. 9781611974829]
  • [6] Burkardt J, 2007, INT J NUMER ANAL MOD, V4, P368
  • [7] Linearized reduced-order models for subsurface flow simulation
    Cardoso, M. A.
    Durlofsky, L. J.
    [J]. JOURNAL OF COMPUTATIONAL PHYSICS, 2010, 229 (03) : 681 - 700
  • [8] A non-intrusive reduced basis approach for parametrized heat transfer problems
    Chakir, R.
    Maday, Y.
    Parnaudeau, P.
    [J]. JOURNAL OF COMPUTATIONAL PHYSICS, 2019, 376 : 617 - 633
  • [9] Two-grid finite volume element methods for semilinear parabolic problems
    Chen, Chuanjun
    Liu, Wei
    [J]. APPLIED NUMERICAL MATHEMATICS, 2010, 60 (1-2) : 10 - 18
  • [10] Chen YP, 2016, J SCI COMPUT, V69, P28, DOI 10.1007/s10915-016-0187-8