A Generalization of the Theorem of Roots Subspace Decomposition in Higher Algebra

2021 ◽  
Vol 11 (09) ◽  
pp. 1639-1642
Author(s):  
洁 周
Keyword(s):  
Subspace Decomposition

On a second-order expansion of the truncated singular subspace decomposition

2016 ◽  
Vol 23 (3) ◽  
pp. 519-534
Author(s):  
S. Gratton ◽  
J. Tshimanga-Ilunga
Keyword(s):  
Second Order ◽  
Singular Subspace ◽  
Subspace Decomposition ◽  
Order Expansion

Hyperspectral and Multispectral Image Fusion via Variational Tensor Subspace Decomposition

2021 ◽  
pp. 1-5
Author(s):  
Yinghui Xing ◽  
Yan Zhang ◽  
Shuyuan Yang ◽  
Yanning Zhang
Keyword(s):  
Image Fusion ◽  
Multispectral Image ◽  
Subspace Decomposition ◽  
Tensor Subspace

scholarly journals Technical Note: Improved sampling of behavioral subsurface flow model parameters using active subspaces

2020 ◽  
Vol 24 (9) ◽  
pp. 4567-4574
Author(s):  
Daniel Erdal ◽  
Olaf A. Cirpka
Keyword(s):  
A Priori ◽  
Behavioral Model ◽  
Technical Note ◽  
Sampling Scheme ◽  
Model Parameters ◽  
Test Case ◽  
Sampling Efficiency ◽  
Subspace Decomposition ◽  
Plausible Model ◽  
Active Subspaces

Abstract. In global sensitivity analysis and ensemble-based model calibration, it is essential to create a large enough sample of model simulations with different parameters that all yield plausible model results. This can be difficult if a priori plausible parameter combinations frequently yield non-behavioral model results. In a previous study (Erdal and Cirpka, 2019), we developed and tested a parameter-sampling scheme based on active-subspace decomposition. While in principle this scheme worked well, it still implied testing a substantial fraction of parameter combinations that ultimately had to be discarded because of implausible model results. This technical note presents an improved sampling scheme and illustrates its simplicity and efficiency by a small test case. The new sampling scheme can be tuned to either outperform the original implementation by improving the sampling efficiency while maintaining the accuracy of the result or by improving the accuracy of the result while maintaining the sampling efficiency.

Blind MIMO system identification based on cumulant subspace decomposition

2003 ◽  
Vol 51 (6) ◽  
pp. 1457-1468 ◽  
Author(s):  
Jing Liang ◽  
Zhi Ding
Keyword(s):  
System Identification ◽  
Mimo System ◽  
Subspace Decomposition

Multimode processes monitoring based on hierarchical mode division and subspace decomposition

2018 ◽  
Vol 96 (11) ◽  
pp. 2420-2430 ◽  
Author(s):  
Shuai Li ◽  
Xiaofeng Zhou ◽  
Haibo Shi ◽  
Fucheng Pan ◽  
Xin Li ◽  
...  
Keyword(s):  
Subspace Decomposition
Sign in / Sign up

Export Citation Format

Share Document