A Fast and Well-Conditioned Spectral Method
Add to your list(s)
Download to your calendar using vCal
If you have a question about this talk, please contact Marcus Webb.
Conventional wisdom states that spectral methods have high accuracy, but lead to dense and ill-conditioned linear systems. In this talk we present a spectral method that constructs almost banded and well-conditioned matrices for the solution of linear ODES with variable coefficients. We prove stability of the method, and show that the constructed matrices have a bounded condition number. The resulting algorithm can efficiently and reliably solved for solutions that require as many as a million unknowns. This is joint work with Sheehan Olver.
This talk is part of the Cambridge Analysts' Knowledge Exchange series.
This talk is included in these lists:
Note that ex-directory lists are not shown.
|