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@ARTICLE{Akramov:1037643,
author = {Akramov, Ikrom and Götschel, Sebastian and Minion, Michael
and Ruprecht, Daniel and Speck, Robert},
title = {{S}pectral {D}eferred {C}orrection {M}ethods for
{S}econd-{O}rder {P}roblems},
journal = {SIAM journal on scientific computing},
volume = {46},
number = {3},
issn = {1064-8275},
address = {Philadelphia, Pa.},
publisher = {SIAM},
reportid = {FZJ-2025-00808},
pages = {A1690 - A1713},
year = {2024},
abstract = {Spectral deferred corrections (SDC) are a class of
iterative methods for the numerical solution of ordinary
differential equations. SDC can be interpreted as a Picard
iteration to solve a fully implicit collocation problem,
preconditioned with a low-order method. It has been widely
studied for first-order problems, using explicit, implicit,
or implicit-explicit Euler and other low-order methods as
preconditioner. For first-order problems, SDC achieves
arbitrary order of accuracy and possesses good stability
properties. While numerical results for SDC applied to the
second-order Lorentz equations exist, no theoretical results
are available for SDC applied to second-order problems. We
present an analysis of the convergence and stability
properties of SDC using velocity-Verlet as the base method
for general second-order initial value problems. Our
analysis proves that the order of convergence depends on
whether the force in the system depends on the velocity. We
also demonstrate that the SDC iteration is stable under
certain conditions. Finally, we show that SDC can be
computationally more efficient than a simple Picard
iteration or a fourth-order Runge–Kutta–Nyström
method.},
cin = {JSC},
ddc = {510},
cid = {I:(DE-Juel1)JSC-20090406},
pnm = {5112 - Cross-Domain Algorithms, Tools, Methods Labs (ATMLs)
and Research Groups (POF4-511)},
pid = {G:(DE-HGF)POF4-5112},
typ = {PUB:(DE-HGF)16},
UT = {WOS:001293445800002},
doi = {10.1137/23M1592596},
url = {https://juser.fz-juelich.de/record/1037643},
}