194 citations · 543 across the 38 of their papers we have counts for
9 papers · 1 filter
Determination of Stationary Points and Their Bindings in Dataset using RBF Methods
Zuzana Majdisova, Vaclav Skala, Michal Smolik
Stationary points of multivariable function which represents some surface have an important role in many application such as computer vision, chemical physics, etc. Nevertheless, t…
Big Geo Data Surface Approximation using Radial Basis Functions: A Comparative Study
Zuzana Majdisova, Vaclav Skala
Approximation of scattered data is often a task in many engineering problems. The Radial Basis Function (RBF) approximation is appropriate for big scattered datasets in dimensi…
Radial Basis Function Approximations: Comparison and Applications
Zuzana Majdisova, Vaclav Skala
Approximation of scattered data is often a task in many engineering problems. The Radial Basis Function (RBF) approximation is appropriate for large scattered (unordered) datasets…
A Radial Basis Function Approximation for Large Datasets
Zuzana Majdisova, Vaclav Skala
Approximation of scattered data is often a task in many engineering problems. The Radial Basis Function (RBF) approximation is appropriate for large scattered datasets in d-dimensi…
A New Radial Basis Function Approximation with Reproduction
Zuzana Majdisova, Vaclav Skala
Approximation of scattered geometric data is often a task in many engineering problems. The Radial Basis Function (RBF) approximation is appropriate for large scattered (unordered)…
Least Square Error Method Robustness of Computation: What is not usually considered and taught
Vaclav Skala
There are many practical applications based on the Least Square Error (LSE) approximation. It is based on a square error minimization 'on a vertical' axis. The LSE method is simple…