A low-rank matrix approach to compute polynomial approximations of smooth two-dimensional functions
DOI10.1007/S11786-024-00581-2zbMATH Open1546.33008MaRDI QIDQ6612104
P. B. Vasconcelos, José A. O. Matos, Nilson J. Lima
Publication date: 30 September 2024
Published in: Mathematics in Computer Science (Search for Journal in Brave)
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Computational methods for sparse matrices (65F50) Orthogonal polynomials and functions of hypergeometric type (Jacobi, Laguerre, Hermite, Askey scheme, etc.) (33C45) Numerical methods for low-rank matrix approximation; matrix compression (65F55)
Cites Work
- Title not available (Why is that?)
- Hierarchical matrices. A means to efficiently solve elliptic boundary value problems
- Introduction to hierarchical matrices with applications.
- Solving differential and integral equations with tau method
- Hybrid cross approximation of integral operators
- Spectral Methods
- Literature survey on low rank approximation of matrices
- Continuous analogues of matrix factorizations
- An Extension of Chebfun to Two Dimensions
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