Adaptive Multiresolution Collocation Methods for Initial Boundary Value Problems of Nonlinear PDEs

We have designed a cubic spline wavelet-like decomposition for the Sobolev space H2 0(I) where I is a bounded interval. Based on a special point value vanishing property of the wavelet basis functions, a fast discrete wavelet transform (DWT) is constructed. This DWT will map discrete samples of a fu...

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Bibliographic Details
Published in:SIAM journal on numerical analysis Vol. 33; no. 3; pp. 937 - 970
Main Authors: Cai, Wei, Wang, Jianzhong
Format: Journal Article
Language:English
Published: Philadelphia, PA Society for Industrial and Applied Mathematics 01.06.1996
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ISSN:0036-1429, 1095-7170
Online Access:Get full text
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Summary:We have designed a cubic spline wavelet-like decomposition for the Sobolev space H2 0(I) where I is a bounded interval. Based on a special point value vanishing property of the wavelet basis functions, a fast discrete wavelet transform (DWT) is constructed. This DWT will map discrete samples of a function to its wavelet expansion coefficients in at most 7N log N operations. Using this transform, we propose a collocation method for the initial boundary value problem of nonlinear partial differential equations (PDEs). Then, we test the efficiency of the DWT and apply the collocation method to solve linear and nonlinear PDEs.
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ISSN:0036-1429
1095-7170
DOI:10.1137/0733047