Print Email Facebook Twitter On the wavelet-based SWIFT method for backward stochastic differential equations Title On the wavelet-based SWIFT method for backward stochastic differential equations Author Chau, K.W. (Centrum Wiskunde & Informatica (CWI)) Oosterlee, C.W. (TU Delft Numerical Analysis; Centrum Wiskunde & Informatica (CWI)) Date 2018 Abstract We propose a numerical algorithm for backward stochastic differential equations based on time discretization and trigonometric wavelets. This method combines the effectiveness of Fourier-based methods and the simplicity of a wavelet-based formula, resulting in an algorithm that is both accurate and easy to implement. Furthermore, we mitigate the problem of errors near the computation boundaries by means of an antireflective boundary technique, giving an improved approximation.We test our algorithm with different numerical experiments. Subject antireflective boundarybackward stochastic differential equationsFourier transformShannon wavelets To reference this document use: http://resolver.tudelft.nl/uuid:5df1cf92-2643-43a5-94cc-d0dcc8c5ed3e DOI https://doi.org/10.1093/imanum/drx022 Embargo date 2019-07-01 ISSN 0272-4979 Source SIAM Journal on Numerical Analysis, 38 (2), 1051-1083 Part of collection Institutional Repository Document type journal article Rights © 2018 K.W. Chau, C.W. Oosterlee Files PDF 49465857_1611.06098.pdf 454.84 KB Close viewer /islandora/object/uuid:5df1cf92-2643-43a5-94cc-d0dcc8c5ed3e/datastream/OBJ/view