Barycentric rational interpolation with no poles and high rates of approximation
By Michael S. Floater, Kai Hormann. Numerische Mathematik, 2007
337 citations recorded by the source corpus.
Subfields: Computational Mechanics, Mechanics of Materials, Signal Processing
View Paper: https://www.semanticscholar.org/paper/221ed06a9edf2f0f2c96dd062d20994d6eb07abb
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computational Mechanics
- Anthony T. Patera
- Yvon Maday
- Gianluigi Rozza
- Masayuki Yano
- Jean-Paul Berrut
- Martin A. Grepl
- Lloyd N. Trefethen
- Yuji Nakatsukasa
In Mechanics of Materials
- Anthony T. Patera
- Yvon Maday
- Lloyd N. Trefethen
- Yuji Nakatsukasa
- Olivier Sète
- Masayuki Yano
- Gianluigi Rozza
- Jean-Paul Berrut
In Signal Processing
Citations in the corpus
- The Generalized Empirical Interpolation Method: Stability theory on Hilbert spaces with an application to the Stokes equation (2015, background): “Although several procedures have been explored in this direction (we refer to [4], [5] and also to the kriging studies in the stochastic community such as [6]), of particular interest for the present work is the Empirical Interpolation Method (EIM, [2], [7], [8]) that has been developed in the broad”
- The AAA Algorithm for Rational Approximation (2016, methodology): “Barycentric representations of rational functions originated in the numerical analysis community with Salzer [51] and Schneider and Werner [53] and were developed especially by Berrut and his students and colleagues, including Floater and Hormann [12, 13, 14, 15, 27, 44].”
- Linear barycentric rational quadrature (2012, methodology): “Before we state the next lemma, we recall from [14] that the reciprocal of the denominator Λn(x) may be rewritten as”