Sentence examples for matrix computations is from inspiring English sources

RandNLA, which integrates the complementary perspectives that theoretical computer science and numerical linear algebra bring to matrix computations, is a new paradigm for the design and analysis of such algorithms and for using the resulting insight to solve important problems.

In this research article, a relationship between a scalar root finding method and matrix computations is exploited to derive new iterations to the matrix square root.

With the proposed method, complex matrix computations are avoided, and the designed controller has low order.

Matrix computations are presented in [14].

Also modification of the L-M algorithm (9)–(14) for enhanced computational speed of QNU is described as the inverse matrix computation is avoided and the Jacobian is constant for static QNU.

A method for constructing Poincaré projections based on the join probability matrix computation is provided.

However, large scaled matrix computation is still treated as an open problem.

The eigenvalue matrix computation is the most complex operation from the four stages of the PCA computation.

He assumed that the data and the signatures are stored locally on each processor's disk and the matrix computation is the part that needs to be parallelized.

In the proposed RIMC scheme, an inverse matrix computation is carried out recursively by using an RLS algorithm, and the computation circuits of {R m (k)−1, m = 0,…, N s − 1} can be communalized.

This m value is typically a constant for a certain data set; hence the input data size to the eigenvalue matrix computation is the same regardless of the size of the original data set.