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The formulations exploit the symmetry of the dynamic flexibility matrix and use specific decompositions.
I construct a Lanczos process on a large and sparse matrix and use the results of this iteration to compute the inverse square root of the same matrix.
The learning algorithm addresses the problem of knowledge acquisition in terms of rules from example cases by developing and maintaining the knowledge base through the use of simple mechanism, pheromone trail information matrix and use of available heuristic information.
An alternate approach provided is to tabulate the digital filter coefficients for different settings of the controls (a 25 x 25 x 25 matrix) and use the Gray-Markel algorithm (tf2latc in Matlab) to convert the 3rd order direct form coefficients to a lattice filter implementation.
We describe them in a matrix and use multiple principal component analysis (PCA) to model the browsing patterns.
We then extract some features from each vector of the base matrix, and use them as joint TF features of the signal.
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The engineering constants are converted to the stiffness matrix and used as input.
Instead of assembling a sparse matrix and using it for matrix vector products, the operation is applied by cell-wise quadrature.
The Myers algorithm encodes the DP matrix and uses a bit-vector to process each column of the matrix [23].
This model assumes a random orientation of the dispersed CNTs within the matrix and uses an effective medium approach.
Tang et al. [18] further applied invariant relation in NMF coefficient matrix and used to obtain robust image hash.
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