Sentence examples for matrix to represent from inspiring English sources

The feasibility of adopting a Wishart random matrix to represent such ensemble of dynamical systems derived from model perturbation is investigated in this paper.

In keeping with the literature4, 54, that point that resting state typically leads to low frequency (≈0.01 to 0.1 Hz)78, we choose scale 3. We then calculated the Pearson correlation between these wavelet coefficients from all possible pairs, thus obtaining a 104 × 104 correlation matrix to represent each sample.

By employing the contention matrix to represent the wireless link interference, we formulate a utility maximization problem for the joint multi-path routing and MAC scheduling and resolve it using the primal dual method.

Then the three dimensional non-repetitive run-out (3D-NRRO) of bearings and the assembly matrix to represent the assembly direction of bearing was introduced to the tolerance analysis.

The representative volume element (RVE) of the composite consists of a quarter of the fiber surrounded by matrix to represent the real composite with repeating square array of fibers.

Due to this nullity we thus assign a quaternionic Hermitian matrix to represent X, and convert the six-dimensional system to a more economic lower dimensional quaternionic two-component spinor system, α̇=Qα, Q∈sl(2,H).

This paper presents a representation method, based on labelled planar graphs and incidence matrices to represent the topologic structure of a group of connected modules.

Although it seems there is no connection between these two methodologies, both kernel methods and rough sets explicitly or implicitly dwell on relation matrices to represent the structure of sample information.

Based on PST, this method establishes reasoning relation matrices to represent the relations among research objects, such as assembly feature, assembly constraint type, datum reference frame and tolerance zone type.

EpiGraph uses sparse matrices to represent the contact graphs.

The second approach is implemented in tools using multiple position-weight matrices (also known as position-specific scoring matrices) to represent multiple specificity profiles obtained by various techniques, e.g. mixture model optimization (Kim et al., 2011) or Gibbs sampling (Andreatta et al., 2012).