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This value is identified in [74] based on novel matrix decomposition techniques.
We mined these large datasets for material responses by employing matrix decomposition techniques, such as independent component analysis.
Furthermore, we find that matrix decomposition techniques also facilitating decoupling of the measured material responses from extrinsic sources present in the data that are instrument specific.
To extract material responses from the large XDM datasets, composed of 102 103 images, we use matrix decomposition techniques such as independent component analysis.
This paper proposes a three-phase power-flow algorithm using graph theory, injected current, and matrix decomposition techniques for unbalanced radial distribution networks.
Note that for nearly all matrix decomposition techniques their robustness and applicability can only be measured by their empirical performance by subsequent comparisons to physics-based modeling to establish their utility in a particular class of problems.
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Here, we propose a simplified approach to solve problem (9) using the error covariance matrix decomposition technique.
A matrix decomposition technique is used to reduce the size of the system of equations of the first example.
Then we contrive a simplified semidefinite programming (SDP) solution based on the error covariance matrix decomposition technique, avoiding the high complexity of the iterative process.
ICA is a matrix decomposition technique that is commonly used for blind source separation of different statistically (linearly) independent source signals present in a dataset [29].
By using a stochastic Lyapunov approach, sufficiency conditions for the stability and stabilization of this class of systems are established based on a novel matrix decomposition technique.
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matrix factorization techniques
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