LAUSR.org creates dashboard-style pages of related content for over 1.5 million academic articles. Sign Up to like articles & get recommendations!

Inverse matrices for pseudospectral differentiation operators in polar coordinates by stepwise integrations and low-rank updates

Photo from academic.microsoft.com

Abstract Spectral/pseudospectral integration preconditioning matrices are useful tools for solving differential equations involving pure differential operators d m / d x m . In this study we construct well-conditioned inverse… Click to show full abstract

Abstract Spectral/pseudospectral integration preconditioning matrices are useful tools for solving differential equations involving pure differential operators d m / d x m . In this study we construct well-conditioned inverse pseudospectral matrices for the basic differential operator and the mixed differential operator d d r a ( r ) d d r on Gauss-Radau-Legendre points based on stepwise integrations and low-rank updates. The inverse matrices can be used either as a solution operator or an effective preconditioner for variable coefficient differential equations of first and second order in polar coordinates. Numerical experiments were conducted and we observed the performance of the inverse operator as expected.

Keywords: rank updates; inverse matrices; integrations low; polar coordinates; stepwise integrations; low rank

Journal Title: Applied Numerical Mathematics
Year Published: 2020

Link to full text (if available)


Share on Social Media:                               Sign Up to like & get
recommendations!

Related content

More Information              News              Social Media              Video              Recommended



                Click one of the above tabs to view related content.