Publication detail
Predictor–corrector Obreshkov pairs
SEHNALOVÁ, P. BUTCHER, J.
English title
Predictor–corrector Obreshkov pairs
Type
Peer-reviewed article not indexed in WoS or Scopus
Language
en
Original abstract
The combination of predictor–corrector (PEC) pairs of Adams methods can be generalized to high derivative methods using Obreshkov quadrature formulae. It is convenient to construct predictor–corrector pairs using a combination of explicit (Adams–Bashforth for traditional PEC methods) and implicit (Adams–Moulton for traditional PEC methods) forms of the methods. This paper will focus on one special case of a fourth order method consisting of a two-step predictor followed by a one-step corrector, each using second derivative formulae. There is always a choice in predictor–corrector pairs of the so-called mode of the method and we will consider both PEC and PECE modes. The Nordsieck representation of Adams methods, as developed by C. W. Gear and others, adapts well to the multiderivative situation and will be used to make variable stepsize convenient. In the first part of the paper we explain the basic approximations used in the predictor–corrector formula. Those can be written in terms of Obreshkov quadrature. Next section we discuss the equations in terms of Nordsieck vectors. This provides an opportunity to extend the Gear Nordsieck factorization to achieve a variable stepsize formulation. Numerical tests with the new method are also discussed. The paper will present Prothero–Robinson and Kepler problem to illustrate the power of the approach.
Keywords in English
PEC methods, Adams methods, Nordsieck representation, Ordinary differential equations, Numerical methods
Released
2013-01-10
Publisher
Springer-Verlag Wien
Location
AT
ISSN
0010-485X
Journal
COMPUTING
Volume
95
Number
5
Pages from–to
355–371
Pages count
17
BIBTEX
@article{BUT97130,
author="Pavla {Sehnalová} and John {Butcher}",
title="Predictor–corrector Obreshkov pairs",
journal="COMPUTING",
year="2013",
volume="95",
number="5",
pages="355--371",
doi="10.1007/s00607-012-0258-0",
issn="0010-485X",
url="http://link.springer.com/article/10.1007%2Fs00607-012-0258-0"
}