Wavelet Galerkin methods for second-kind integral equations
โ Scribed by Charles A. Micchelli; Yuesheng Xu; Yunhe Zhao
- Publisher
- Elsevier Science
- Year
- 1997
- Tongue
- English
- Weight
- 845 KB
- Volume
- 86
- Category
- Article
- ISSN
- 0377-0427
No coin nor oath required. For personal study only.
โฆ Synopsis
We use vector-valued multiwavelets on compact sets to develop a Galerkin method for systems of integral equations of the second kind. We propose a compression strategy for the coeflieient matrix of the linear system obtained from this method and show that the compressed scheme preserves almost optimal convergence rate of the original scheme and yields a sparse matrix with a bounded condition number.
๐ SIMILAR VOLUMES
A wavelet boundary element method (WBEM) for boundary integral equations is presented. A discrete approximating integral equation is derived by expanding the function into a wavelet series. Using a circulant matrix method, the coecient matrix is obtained from the values of the kernel functions on th
While wavelets have proved effective in signal and image processing, the utility of wavelets in the numerical solutions of differential equations is currently being studied by several investigators. In the place of conventional Fourier or Legendre bases, wavelet bases are tried in the application of
A Markov chain minimizing the maximum of the weighting function that determines the variance of the standard Monte-Carlo estimators of linear functionals of the solution of an integral equation of the 2nd kind is constructed. The results are extended to vector estimators associated with the simulta