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A Coarse-Grained Parallel QR-Factorization Algorithm for Sparse Least Squares Problems

机译：稀疏最小二乘问题的粗粒度并行QR分解算法

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Tz. Ostromsky; P. C. Hansen; Z. Zlatev;
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年度 2007
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入库时间 2022-08-20 20:58:45

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专利

1. a coarse-grained parallel QR-factorization algorithm for sparse least squares problems [J] . Tz.Ostromsky, P.C.Hansen, Z.Zlatev Parallel Computing . 1998,第5a6期

机译：稀疏最小二乘问题的粗粒度并行QR分解算法
2. Identification of vehicle axle loads from bridge responses using preconditioned least square QR-factorization algorithm [J] . Chen Zhen, Chan Tommy H. T., Nguyen Andy, Mechanical systems and signal processing . 2019,第AUGa1期

机译：使用预处理的最小二乘QR分解算法从桥梁响应识别车轴载荷
3. Identification of vehicle axle loads from bridge responses using preconditioned least square QR-factorization algorithm [J] . Chen Zhen, Chan Tommy H. T., Nguyen Andy, Mechanical systems and signal processing . 2019,第Auga1期

机译：使用预处理最小二乘QR分解算法从桥梁响应识别车轴载荷
4. A parallel preconditioned inner product-free algorithm for sparse least squares problems [C] . Tianruo Yang High performance computing 1997: Grand challenges in computer simulation . 1997

机译：稀疏最小二乘问题的并行预处理内部无积算法
5. Combination of parallel stochastic algorithms and a deterministic nonlinear least squares algorithm for the analysis of extended x-ray absorption fine structure (EXAFS) data. [D] . Gyulai, Csaba K. 1999

机译：并行随机算法和确定性非线性最小二乘算法的组合，用于分析扩展X射线吸收精细结构（EXAFS）数据。
6. Convergence and Stability of a Class of Iteratively Re-weighted Least Squares Algorithms for Sparse Signal Recovery in the Presence of Noise [O] . Behtash Babadi, Demba Ba, Patrick L. Purdon, -1

机译：噪声存在下一类用于稀疏信号恢复的迭代加权最小二乘算法的收敛性和稳定性
7. A Parallel Sparse QR-Factorization Algorithm [O] . Tz. Ostromsky, P. C. Hansen, Z. Zlatev 1995

机译：一种并行稀疏QR分解算法

A Coarse-Grained Parallel QR-Factorization Algorithm for Sparse Least Squares Problems

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