Sentence examples for sparsity patterns from inspiring English sources

The sparsity patterns, conditioning and solution costs are investigated.

FEM matrices display specific sparsity patterns that can be exploited to improve the efficiency of hardware designs.

Details of each method, and the concomitant adjoint sensitivities, are provided in terms of accuracy, stability, and Jacobian sparsity patterns.

We will then analyse the corresponding stiffness and mass matrices in terms of sparsity patterns and conditioning numbers.

The nonzero elements of sparse matrices are represented in different formats, and a single sparse matrix representation is not suitable for all sparse matrices with different sparsity patterns.

Our optimization technique efficiently solved our problems by checking possible sparsity patterns using optimality conditions and updating non-zero regression coefficients using a coordinate descent method.

This allows us to investigate the impact of the preconditioner's sparsity pattern with respect to the computational performance.

We also compare the sparsity pattern of the estimated BES matrix S ̂ against the sparsity pattern of the synthetic BES matrix S, as well as the synthetic and predicted EEG measurements.

Figure 1 Simulation results: waveforms of the MAS, EEG estimated, and sparsity pattern of the estimated BES matrix.

In the first stage recovering a sparsity pattern of the sources is tried by exploiting the orthogonality prior.

In this paper, we study the problem of simultaneous sparsity pattern recovery and approximation recovery based on the Lasso.