7 citations · 7 across the 4 of their papers we have counts for
4 papers
Multivariate Data-dependent Partition of Unity based on Moving Least Squares method
Inmaculada Garcés, Juan Ruiz-Álvarez, Dionisio F. Yáñez
Data approximation is essential in fields such as geometric design, numerical PDEs, and curve modeling. Moving Least Squares (MLS) is a widely used method for data fitting; however…
Efficient WENO schemes for nonuniform grids
M. C. Martí, P. Mulet, D. F. Yáñez +1
A set of arbitrarily high-order WENO schemes for reconstructions on nonuniform grids is presented. These non-linear interpolation methods use simple smoothness indicators with a li…
A non-separable progressive multivariate WENO- point value
Pep Mulet, Juan Ruiz-Alvarez, Chi-Wang Shu +1
The weighted essentially non-oscillatory {technique} using a stencil of points (WENO-) is an interpolatory method that consists in obtaining a higher approximation order f…
Subdivision schemes based on weighted local polynomial regression. A new technique for the convergence analysis
Sergio López-Ureña, Dionisio F. Yáñez
The generation of curves and surfaces from given data is a well-known problem in Computer-Aided Design that can be approached using subdivision schemes. They are powerful tools tha…