Improved parallel QR method for large least squares problems involving Kronecker products
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Publication:675993
DOI10.1016/S0377-0427(96)00109-4zbMath0868.65019MaRDI QIDQ675993
Hany Hashish, Charles T. Fulton, Donald W. Fausett
Publication date: 5 August 1997
Published in: Journal of Computational and Applied Mathematics (Search for Journal in Brave)
algorithmnumerical examplesparallel algorithmload balancingbinary exchange algorithmlarge least squares problemQR factorizations
Numerical solutions to overdetermined systems, pseudoinverses (65F20) Parallel numerical computation (65Y05)
Related Items
Condition numbers of the minimum norm least squares solution for the least squares problem involving Kronecker products, Linear least squares problems with data over incomplete grids, Parallel algorithms for large least squares problems involving kronecker products, Bivariate least squares approximation with linear constraints, Least squares problems involving generalized Kronecker products and application to bivariate polynomial regression, The ubiquitous Kronecker product
Uses Software
Cites Work
- Parallel matrix transpose algorithms on distributed memory concurrent computers
- Inertia characteristics of self-adjoint matrix polynomials
- Distributed Orthogonal Factorization: Givens and Householder Algorithms
- QR Factorization of a Dense Matrix on a Hypercube Multiprocessor
- Algorithms for Matrix Transposition on Boolean N-Cube Configured Ensemble Architectures
- The vec-permutation matrix, the vec operator and Kronecker products: a review
- A Parallel Nonlinear Least-Squares Solver: Theoretical Analysis and Numerical Results
- Kronecker Products, Unitary Matrices and Signal Processing Applications
- Large Least Squares Problems Involving Kronecker Products
- A Parallel QR Factorization Algorithm with Controlled Local Pivoting
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