To this end, we triangularize the companion matrix constructed from the high-degree polynomial using iterative Gram-Schmidt QR transformations, an eigenvalue problem in matrix computation, coupled with another iterative correction process to produce a frequency offset estimate to good accuracy.
Like some mathematical software packages, such as MATLAB, Ch has built-in support for two and three-dimensional graphical plotting, computational arrays for vector and matrix computation, and linear system analysis with advanced numerical analysis functions based on LAPACK.
For matrix computation, only internal branches with a boostrap support higher than 50 has been considered.
Conversely, the total number of occupied slices and the total number of DSP slices required for the DRH (hw_v2) are 6173 and 11, respectively, which is from the reconfigurable hardware design with the eigenvalue matrix computation module (i.e., the largest RM of the four).
The paper by M. W. Al-Neama et al. " An Improved distance matrix computation algorithm for multicore clusters" is concerned with an efficient implementation of distance matrix computation on multicore clusters that finds wide application in multiple sequence alignment.
This theoretical measure provides a reliable characterization of the bioaccumulation potential of a substance that has the twofold advantage of being independent of the exposure and being obtained efficiently with a well-established algorithm on matrix computation without requiring the computation of all the time-dependent concentrations of the PBTK models.
Specific vectors are constructed with GPS measurements and used for attitude matrix computation like in analytic alignment algorithm.
With the techniques of vectorization and multi-dimensional matrix computation, the TIMMA-R algorithm has been made more efficient and scalable for large-scale analyzes.
PCA computation consists of four stages [21, 37, 38]: mean computation, covariance matrix computation, eigenvalue matrix, thus eigenvector computation, and PCs matrix computation.
Orthogonalization is studied as a prototypical matrix computation task.
