Computing {2,4} and {2,3}-inverses Using SVD-like Factorizations and QR Factorization

Bilall I. Shaini

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Computing {2,4} and {2,3}-inverses Using SVD-like Factorizations and QR Factorization

机译：使用类SVD分解和QR分解计算{2,4}和{2,3}逆

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《Filomat》 |2016年第2期|共页
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Bilall I. Shaini;
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中图分类数学;
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1. ACCURATE MATRIX FACTORIZATION: INVERSE LU AND INVERSE QR FACTORIZATIONS [J] . Ogita T SIAM Journal on Matrix Analysis and Applications . 2010,第5期

机译：精确矩阵分解：LU逆和QR逆
2. SHIFTED CHOLESKY QR FOR COMPUTING THE QR FACTORIZATION OF ILL-CONDITIONED MATRICES [J] . Fukaya Takeshi, Kannan Ramaseshan, Nakatsukasa Yuji, SIAM Journal on Scientific Computing . 2020,第1期

机译：转移Cholesky QR计算不良矩阵的QR分解
3. QR-Factorization Algorithm for Computed Tomography (CT): Comparison With FDK and Conjugate Gradient (CG) Algorithms [J] . María José Rodríguez-Alvarez, Filomeno Sánchez, Antonio Soriano, IEEE Transactions on Radiation and Plasma Medical Sciences . 2018,第5期

机译：CT断层扫描（CT）的QR分解算法：与FDK和共轭梯度（CG）算法的比较
4. Realization of area efficient QR factorization using unified division, square root, and inverse square root hardware [C] . IEEE International Conference on Electro/Information Technology . 2009

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5. Maintaining high performance in the QR factorization while scaling both problem size and parallelism. [D] . Samuel, Siju. 2011

机译：在QR分解中保持高性能，同时扩展问题大小和并行度。
6. Evolutionary profiles from the QR factorization of multiple sequence alignments [O] . Anurag Sethi, Patrick ODonoghue, Zaida Luthey-Schulten 2005

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7. QR-Factorization Algorithm for Computed Tomography (CT): Comparison With FDK and Conjugate Gradient (CG) Algorithms [O] . Maria Jose Rodriguez-Alvarez, Filomeno Sanchez, Antonio Soriano, 2018

机译：计算断层扫描（CT）的QR分解算法：与FDK和共轭梯度（CG）算法的比较
8. Hybrid QR Factorization Algorithm for High Performance Computing Architectures [R] . Vouras, P. G. , Meyer, G. G. 2003

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Computing {2,4} and {2,3}-inverses Using SVD-like Factorizations and QR Factorization

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