Results 41 to 50 of about 1,276 (137)
Sparse approximate multiquadric interpolation
The authors consider the following problem: given a set \(S\) of samples of a multivariate function \(f\) and an error tolerance \(\delta\), find the smallest set of points \(T \subseteq S\) such that if \(M\) is the multiquadric interpolant of \(T\), then the relative error between \(M\) and \(f\) over \(S\) is at most \(\delta\).
Carlson, R.E., Natarajan, B.K.
openaire +1 more source
In this paper, the static and free vibration analysis of laminated shells is performed by radial basis functions collocation, according to a sinusoidal shear deformation theory (SSDT).
A.J.M. Ferreira +51 more
core +1 more source
MuscleX‐DI: an integrated data analysis package for X‐ray scanning diffraction imaging experiments
MuscleX‐Diffraction Imaging (MuscleX‐DI) is an integrated, open‐source software suite for data reduction and visualization of scanning X‐ray diffraction (XRD) experiments. It is developed in Python and runs on Linux, Microsoft Windows or macOS. MuscleX‐DI offers an end‐to‐end software analysis pipeline that ingests diffraction patterns and raster scan ...
Rama S. Madhurapantula +8 more
wiley +1 more source
How fast do radial basis function interpolants of analytic functions converge? [PDF]
The question in the title is answered using tools of potential theory. Convergence and divergence rates of interpolants of analytic functions on the unit interval are analyzed.
Platte, Rodrigo B.
core
Generalized Multiquadric Neural Networks in Image Reconstruction
This work aims to numerically investigate the performance of the multiquadric (MQ) radial basis function in more general formats for image reconstruction applications. Desired features, i.e., accuracy and shape parameter sensitivity, of each form is numerically compared and explored.
Pornthip Pongchalee +4 more
openaire +1 more source
Abstract Electrical Resistivity Tomography (ERT) is widely used for subsurface imaging. Despite recent advancements in machine learning based ERT inversion using conventional deep learning models such as CNN and UNet, accurately delineating resistivity profiles of natural and artificial subsurface anomalies remains challenging.
Huichao Yin +6 more
wiley +1 more source
Comparative analysis of some modeal reconstruction methods of the cornea from corneal elevation data [PDF]
Purpose. A comparative study of the ability of some modal schemes to reproduce corneal shapes of varying complexity is performed, using both standard radial polynomials and the radial basis functions (RBF).
Alió, Jorge L. +4 more
core +2 more sources
ABSTRACT Recent advances in sequencing technologies have allowed the collection of massive genome‐wide information that substantially enhances the diagnosis and prognosis of head and neck cancer. Identifying predictive markers for survival time is crucial for devising prognostic systems and learning the underlying molecular drivers of the cancer course.
Atika Farzana Urmi +2 more
wiley +1 more source
3D Model of the Shallow Crustal Density Distribution of the Krafla Volcanic System in Iceland
Abstract Krafla volcano, located in Iceland's North Volcanic Zone, has been extensively studied using static gravity surveys since 1975. This study integrates measurements acquired between 2022 and 2023 with legacy data to produce a new gravity map of the area. We produce gravity gradient maps to delineate shallow subsurface density features and invert
Ana Martinez‐Garcia +5 more
wiley +1 more source
Differential quadrature method for space-fractional diffusion equations on 2D irregular domains
In mathematical physics, the space-fractional diffusion equations are of particular interest in the studies of physical phenomena modelled by L\'{e}vy processes, which are sometimes called super-diffusion equations.
Liu, F. +3 more
core +1 more source

