Sentence examples for based on matrix theory from inspiring English sources

Algorithms of the first category are based on matrix theory concepts, while algorithms of the second one are based on graph theory concepts.

While explaining the general agglomerative scheme, the emphasis is on single link and complete link algorithms based on matrix theory.

Then, in uplink scenario a closed-form optimal solution is exploited based on matrix analysis theory.

In specially, the research of clustering nonlinear correlation data object is rare, so we propose Matrix Similarity Clustering Algorithm (MSCA) based on random matrix theory and combined with sliding window technology to cluster the similarity of multidimensional time sequences.

Because our study object is multifactor time sequences and there are no simple linear relationships, we propose Matrix Similarity Clustering Algorithm (MSCA) based on random matrix theory combined with sliding window technology to cluster the similarity of multidimensional time sequence.

Another recently proposed method based on random matrix theory provides the prior distributions with maximum entropy, which is an alternative for model-form uncertainty quantification in RANS simulations.

It discusses the theoretical and computational progress in solid-state NMR, which includes calculations of the lineshapes and dynamic processes based on density matrix theory or computations of the interaction parameters based on quantum mechanics.

Secondly, based on covariance matrix theory, CCM is proposed for calculating the background and resonant components and for compensating the cross term between background and resonant components, and the ESWLs of all components are derived by load response correlation theory.

We calculated the similarity of multidimensional time sequence combined with the sliding window technology based on random matrix theory.

As a consequence, another effort has been made to derive an analytical capacity expression based on random matrix theory [21, 23].

We plan to apply a novel clustering method based on Random Matrix Theory (RMT) [ 18] which is completely objective and do not require the specification of cluster number and initial centroid locations.