Asynchronous Iterations of Parareal Algorithm for Option Pricing Models
Spatial domain decomposition methods have been largely investigated in the last decades, while time domain decomposition seems to be contrary to intuition and so is not as popular as the former. However, many attractive methods have been proposed, especially the parareal algorithm, which showed both...
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doaj-db16cd4dc52246079d54f5d26f1e3db62020-11-24T22:40:33ZengMDPI AGMathematics2227-73902018-03-01644510.3390/math6040045math6040045Asynchronous Iterations of Parareal Algorithm for Option Pricing ModelsFrédéric Magoulès0Guillaume Gbikpi-Benissan1Qinmeng Zou2CentraleSupélec, Mathematics in Interaction with Computer Science Laboratory, 9 rue Joliot Curie, F-91192 Gif-sur-Yvette, FranceCentraleSupélec, Mathematics in Interaction with Computer Science Laboratory, 9 rue Joliot Curie, F-91192 Gif-sur-Yvette, FranceCentraleSupélec, Mathematics in Interaction with Computer Science Laboratory, 9 rue Joliot Curie, F-91192 Gif-sur-Yvette, FranceSpatial domain decomposition methods have been largely investigated in the last decades, while time domain decomposition seems to be contrary to intuition and so is not as popular as the former. However, many attractive methods have been proposed, especially the parareal algorithm, which showed both theoretical and experimental efficiency in the context of parallel computing. In this paper, we present an original model of asynchronous variant based on the parareal scheme, applied to the European option pricing problem. Some numerical experiments are given to illustrate the convergence performance and computational efficiency of such a method.http://www.mdpi.com/2227-7390/6/4/45parallel computingasynchronous iterationsparareal methodEuropean optionsdomain decompositiontime-dependent problems |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Frédéric Magoulès Guillaume Gbikpi-Benissan Qinmeng Zou |
spellingShingle |
Frédéric Magoulès Guillaume Gbikpi-Benissan Qinmeng Zou Asynchronous Iterations of Parareal Algorithm for Option Pricing Models Mathematics parallel computing asynchronous iterations parareal method European options domain decomposition time-dependent problems |
author_facet |
Frédéric Magoulès Guillaume Gbikpi-Benissan Qinmeng Zou |
author_sort |
Frédéric Magoulès |
title |
Asynchronous Iterations of Parareal Algorithm for Option Pricing Models |
title_short |
Asynchronous Iterations of Parareal Algorithm for Option Pricing Models |
title_full |
Asynchronous Iterations of Parareal Algorithm for Option Pricing Models |
title_fullStr |
Asynchronous Iterations of Parareal Algorithm for Option Pricing Models |
title_full_unstemmed |
Asynchronous Iterations of Parareal Algorithm for Option Pricing Models |
title_sort |
asynchronous iterations of parareal algorithm for option pricing models |
publisher |
MDPI AG |
series |
Mathematics |
issn |
2227-7390 |
publishDate |
2018-03-01 |
description |
Spatial domain decomposition methods have been largely investigated in the last decades, while time domain decomposition seems to be contrary to intuition and so is not as popular as the former. However, many attractive methods have been proposed, especially the parareal algorithm, which showed both theoretical and experimental efficiency in the context of parallel computing. In this paper, we present an original model of asynchronous variant based on the parareal scheme, applied to the European option pricing problem. Some numerical experiments are given to illustrate the convergence performance and computational efficiency of such a method. |
topic |
parallel computing asynchronous iterations parareal method European options domain decomposition time-dependent problems |
url |
http://www.mdpi.com/2227-7390/6/4/45 |
work_keys_str_mv |
AT fredericmagoules asynchronousiterationsofpararealalgorithmforoptionpricingmodels AT guillaumegbikpibenissan asynchronousiterationsofpararealalgorithmforoptionpricingmodels AT qinmengzou asynchronousiterationsofpararealalgorithmforoptionpricingmodels |
_version_ |
1725704551844020224 |