RBF approximation of three dimensional PDEs using tensor Krylov subspace methods
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Publication:2128023
DOI10.1016/j.enganabound.2022.02.019OpenAlexW3134307377WikidataQ114183184 ScholiaQ114183184MaRDI QIDQ2128023
Khalide Jbilou, M. El Guide, Ahmed Ratnani
Publication date: 21 April 2022
Published in: Engineering Analysis with Boundary Elements (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2103.02423
Uses Software
Cites Work
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- Tensor Decompositions and Applications
- Factorization strategies for third-order tensors
- Regularization tools: A Matlab package for analysis and solution of discrete ill-posed problems
- Solution methods for linear discrete ill-posed problems for color image restoration
- Global FOM and GMRES algorithms for matrix equations
- On unsymmetric collocation by radial basis functions
- \(L\)-curve curvature bounds via Lanczos bidiagonalization
- Estimation of the \(L\)-curve via Lanczos bidiagonalization
- Fast fitting of radial basis functions: Methods based on preconditioned GMRES iteration
- Global Golub-Kahan bidiagonalization applied to large discrete ill-posed problems
- Solving Multilinear Systems via Tensor Inversion
- ON THE MODE SHAPES OF THE HELMHOLTZ EQUATION
- Gmsh: A 3-D finite element mesh generator with built-in pre- and post-processing facilities
- Generalized Cross-Validation as a Method for Choosing a Good Ridge Parameter
- Analysis of Discrete Ill-Posed Problems by Means of the L-Curve
- Practical Approximate Solutions to Linear Operator Equations When the Data are Noisy
- Krylov subspace methods to solve a class of tensor equations via the Einstein product
- Scattered Data Approximation
- Third-order tensors as linear operators on a space of matrices
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