Cargando…
Parameterizations and Lagrange Cubics for Fitting Multidimensional Data
This paper discusses the issue of interpolating data points in arbitrary Euclidean space with the aid of Lagrange cubics [Formula: see text] and exponential parameterization. The latter is commonly used to either fit the so-called reduced data [Formula: see text] for which the associated exact inter...
Autores principales: | Kozera, Ryszard, Noakes, Lyle, Wilkołazka, Magdalena |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7302840/ http://dx.doi.org/10.1007/978-3-030-50417-5_10 |
Ejemplares similares
-
Lagrange-NG: The next generation of Lagrange
por: Bettisworth, Ben, et al.
Publicado: (2023) -
A kinematical constrained fit using the Lagrange multipliers method
por: Saborido, J
Publicado: (1998) -
Markoff and Lagrange spectra
por: Cusick, Thomas W, et al.
Publicado: (2014) -
Interpolación de lagrange /
por: Gomez Aguirre, Alejandro
Publicado: (1976) -
The guide to PAMIR: theory and use of Parameterized Adaptive Multidimensional Integration Routines
por: Adler, Stephen L
Publicado: (2013)