Wavelet Collocation Method for Hammerstein Integral Equations of High Dimension
Date of Award
Doctor of Philosophy (PhD)
Mathematics and Statistics
Computational and Applied Mathematics
Richard D. Noren
Fang Q. Hu
This dissertation includes two separate topics. In the first part, we extend fast wavelets collocation method and multilevel augmentation method on three dimensional Hammerstein equation with both smooth kernel and weakly singular kernel. In this part, self similar partition on d-dimensional (d ≥ 3) unit cube will be introduced and followed by a group of three dimensional contractive mappings on unit cube and unit prism. Hence, three dimensional wavelets and collocation polynomial on unit cube and unit prism are constructed respectively. Theoretical truncation strategy and practical block truncation strategy are compared with respect to numerical error, convergence rate, compression ratio and computing time by several different groups of parameters.
In the second part of this dissertation, we propose fast degenerate kernel by combining the practical truncation strategy in  with degenerate kernel method developed in . Legendre piecewise orthogonal wavelets have been used to approximate the kernel which leads sparse structure in the linear system of the Fredholm equation and Jacobian matrix in Hammerstein equation. A fast degenerate kernel method takes place once the practical block truncation strategy implemented. Numerical examples are given throughout this dissertation.
"Wavelet Collocation Method for Hammerstein Integral Equations of High Dimension"
(2015). Doctor of Philosophy (PhD), dissertation, Mathematics and Statistics, Old Dominion University, DOI: 10.25777/t10q-wv46