Results 31 to 40 of about 330 (180)
Computational issues by interpolating with inverse multiquadrics: a solution
We consider the interpolation problem with the inverse multiquadric radial basis function. The problem usually produces a large dense linear system that has to be solved by iterative methods. The efficiency of such methods is strictly related to the computational cost of the multiplication between the coefficient matrix and the vectors computed by the ...
De Marchi S. +4 more
openaire +4 more sources
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
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.
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The Shape Parameter in the Shifted Surface Spline—A Sharp and Friendly Approach
This is a continuation of our previous study on the shape parameter contained in the shifted surface spline. We insist that the data points be purely scattered without meshes and the domain can be of any shape when conducting function interpolation by ...
Lin-Tian Luh
doaj +1 more source
ABSTRACT This study enhances a framework of surrogate computational homogenization (SCH) using decision tree‐based partition‐of‐unity radial basis function (PU‐RBF) interpolation for three‐dimensional finite‐deformation two‐scale analysis. The method addresses the scalability limitation of global RBF interpolation for large numerical material test (NMT)
Yosuke Yamanaka +2 more
wiley +1 more source
Monthly median f0F2 and M(3000)F2 ionospheric model over Europe
Monthly median f0F2 and M(3000)F2 ionospheric model, MQMF2, based on the multiquadric (MQ) method of spatial interpolation and a new ionospheric index MF2 describes the monthly median f0F2 and M(3000)F2 over Europe for any UT moment, month and level of ...
M. G. Skoblin +2 more
doaj +1 more source
Thermo‐Mechanical Topology Optimization: An Immersed FEM Level‐Set‐Based Approach
ABSTRACT This paper proposes a multi‐physics framework for topology optimization using an immersed level set‐finite element model. The work extends the capabilities of a recently developed immersed level‐set method to thermo‐mechanical problems, including coupling and material‐dependent properties.
Farzad Tatar +3 more
wiley +1 more source
This study introduces a deep neural network approach that utilizes radial basis functions (RBFs) to solve forward and inverse problems in the process of diffusion.
Cheng-Yu Ku +3 more
doaj +1 more source
Meshless method for the numerical solution of the Fokker–Planck equation
In this paper numerical meshless method for solving Fokker–Planck equation is considered. This meshless method is based on multiquadric radial basis function and collocation method to approximate the solution.
Maysam Askari, Hojatollah Adibi
doaj +1 more source
HPV‐Adjusted Feature Screening With FDR Control in Head and Neck Cancer
ABSTRACT Human papillomavirus (HPV) is a well‐established prognostic factor in head and neck (HN) cancer, with HPV‐positive patients exhibiting markedly better survival outcomes compared to their HPV‐negative counterparts. While advances in (cancer) genomics have been pivotal to precision medicine, existing gene screening methods for identifying ...
Atika Farzana Urmi +2 more
wiley +1 more source

