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represents the diagonal matrix having the elements of the i th row of A on its diagonal.

This way the k-th iteration does not produce a matrix having the appropriate entries, but structure is improved gradually.

This is actually performed by eigen-decomposition of a special matrix having the same null basis as in equilibrium matrix.

We will consider the growth of a needle-shape β″ precipitate in an aluminium matrix having the nominal composition given in Table 1.

The input regressor vector is assumed to be white Gaussian with auto-correlation matrix having the same variance for all nodes.

Because A is a semi-definite positive matrix having the rank l, the solution of (13) and (14) can be sought.

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Then the matrix has the form (4.50).

Constructing that matrix has the complexity O(n 2).

Matrix had the good fortune of finding a champion at a very high level in the Amdocs org chart.

Then the trace of matrix has the lower and upper bounds given by (3.1).

where the transformation matrix has the dimensions of, and is a bias parameter.

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