Sentence examples for implementing the matrix from inspiring English sources

They obtained the probabilities for the system states and various key metrics by implementing the matrix recursive method.

It is important to consider these perturbations since it can account for precision errors when applications call for physically implementing the matrix A in a sensor [9].

Either senior management has not understood or been able to implement the matrix concept as well as lower level managers, or the matrix has found its appropriate place.

ROL and VPE developed and implemented the matrix approximation method.

Also note that all methods, except the coordinate descent methods, ℓ 1-CD and L-CD, and the ℓ 1-OMP method, do not need to explicitly form the sensing matrix Φ but only need functions that implement the matrix-vector multiplication by Φ and Φ T at each iteration.

It is shown that the robust delay-dependent stability of the global multiple delay closed-loop system is guaranteed when implementing the gain matrix into the global decentralized controller.

Different ways of implementing the system matrix ({mathbf {W}}) are used in practice, each using a different discretization of the modeled tomography experiment.

According to this formulation, procedural components of implementing the required matrix-vector products are generated by means of automatic differentiation (AD) in a structured and modular manner.

This indicated that the model implementing the realized relationship matrix based on aggregate SNP information explained variation in phenotypes better than the model implementing the numerator relationship matrix based on pedigree information (this is also empirically proven in the next section).

In Construction 1, generating the row index set D efficiently is a key issue in implementing the deterministic sensing matrix A. In D, as α ( p r + 1 ) e v = Tr r 2 r ( α v ) is an element of a p r -ary m-sequence of period p 2r -1[21], we can compute it by a 2-stage LFSR.

CS is a new acquisition technique for sparse signals that can reduce the sampling rate drastically, as long as the matrix implementing the sensing mechanism satisfies the aforementioned properties.