Rational approximation with multidimensional scattered data

Xu Guang Hu, Tak San Ho, Herschel Rabitz

Research output: Contribution to journalArticle

6 Scopus citations

Abstract

Accurate and efficient rational approximation schemes are presented for interpolating multidimensional scattered data with a novel weighted least-squares procedure including domain decomposition. Two particular representations of the method are formulated and the corresponding algorithms are implemented. Numerical tests on three- and six-dimensional model systems are carried out, demonstrating high efficiency and accuracy. This work was motivated by the need for multidimensional function approximation using irregular grids when solving quantum fluid dynamics equations, and the method should have broader physical applications.

All Science Journal Classification (ASJC) codes

  • Statistical and Nonlinear Physics
  • Statistics and Probability
  • Condensed Matter Physics

Fingerprint Dive into the research topics of 'Rational approximation with multidimensional scattered data'. Together they form a unique fingerprint.

  • Cite this