TY  - JOUR
AU  - Kremling, Gitte
AU  - Speck, Robert
TI  - Convergence of multilevel spectral deferred corrections
JO  - Communications in applied mathematics and computational science
VL  - 16
IS  - 2
SN  - 1559-3940
CY  - Berkeley, Calif.
PB  - Mathematical Sciences Publishers
M1  - FZJ-2021-04987
SP  - 227 - 265
PY  - 2021
AB  - The spectral deferred correction (SDC) method is a class of iterative solvers for ordinary differential equations (ODEs). It can be interpreted as a preconditioned Picard iteration for the collocation problem. The convergence of this method is well known, for suitable problems it gains one order per iteration up to the order of the quadrature method of the collocation problem provided. This appealing feature enables an easy creation of flexible, high-order accurate methods for ODEs. A variation of SDC are multilevel spectral deferred corrections (MLSDC). Here, iterations are performed on a hierarchy of levels and an FAS correction term, as in nonlinear multigrid methods, couples solutions on different levels. While there are several numerical examples which show its capabilities and efficiency, a theoretical convergence proof is still missing. We address this issue. A proof of the convergence of MLSDC, including the determination of the convergence rate in the time-step size, will be given and the results of the theoretical analysis will be numerically demonstrated. It turns out that there are restrictions for the advantages of this method over SDC regarding the convergence rate.
LB  - PUB:(DE-HGF)16
UR  - <Go to ISI:>//WOS:000752484200003
DO  - DOI:10.2140/camcos.2021.16.227
UR  - https://juser.fz-juelich.de/record/903291
ER  -