Sentence examples for matrices we propose from inspiring English sources

Based on the receptance measurements and the system matrices, we propose an optimization method for the robust and minimum norm partial quadratic eigenvalue assignment problem.

For selecting the quadratic cost weighting matrices, we propose a scheme based on Monte Carlo simulation of the system with the deterministic dynamic programming solution.

By using these operational matrices, we propose a shifted Jacobi tau method for both temporal and spatial discretizations, which allows us to present an efficient spectral method for solving such problem.

Based on the receptance measurements and system matrices, we propose a constructive method for solving PQEAP, where we only need to solve a small linear system and only a few undesired open-loop eigenvalues with associated eigenvectors are needed.

Modeling state transitions of loan accounts as Markov transition matrixes, we propose a method for detecting the significance and quantifying the magnitude of collection effects on consumer term loan accounts.

In this paper, under a matching condition between the descriptor matrix and the measurement output matrix (or the control input matrix), we propose to set the Lyapunov matrix in the BMI as block diagonal appropriately so that the BMI is reduced to LMIs.

Unlike the spatial gray level dependence method in which the estimated second-order joint conditional density functions can be described in a matrix, we propose to represent P (V, VΔ|d, θ) in a structure form of an array Ioccu which is the vector of occurrences and a matrix M V, V Δ which is the matrix of V and VΔ components.

To effectively reduce the storage space of a random measurement matrix, we propose an STP approach for the CS algorithm (STP-CS), which can reduce storage space to at least a quarter of the size while maintaining the quality of reconstructed signals or images.

Based on this stochastic matrix we propose and compute an entropy measure that quantifies the degree of randomness in the local pattern of information flux around single genes.

Using this stochastic matrix we propose to use an entropy-like measure that quantifies the amount of disorder or randomness in the local flux distribution (Methods).

Based on this extended neighborhood matrix, we propose modeling as, where the precision matrix is given by (5) The component corresponds to the IAR model applied to the extended random effects vector, while the addition of ϵI ensures the precision matrix is diagonally dominant and hence invertible.