Sentence examples for matrices with linear from inspiring English sources

Microscopic analysis showed fine dispersion of MWCNT within low viscosity PA6s due to domination of melt infiltration into MWCNT agglomerate at low viscosity matrices with linear structure.

The problem includes advection along the fracture, transverse diffusion in the matrix, with linear sorption as well as first-order reactions operative in both the fracture and the matrix.

Differential expression levels in the discordant twins were assessed using a paired design matrix with linear models for microarray data (Limma) [ 27, 28] in R. Spot quality weights [ 29] were used and p values were adjusted with Benjamini Hochberg's false-discovery rate (FDR) [ 30].

After deriving the asymptotic properties of sequences of matrices associated with linear smoothers, two classes of asymmetric filters that approximate a given symmetric estimator are introduced: the reflective filters and antireflective filters.

By identifying matrices with corresponding linear operators, [35, Lemma 3.3] gives begin{aligned} {text {Op}}(a) = D_{phi _1}circ A circ C_{phi _2}.

Robust standard errors and an exchangeable correlation matrix with a linear link were employed.

DLDA uses a simple maximum likelihood discriminant rule for a diagonal class covariance matrix with a linear discriminant function; thus, it does not involve matrix inversion.

The following table shows a number of 2-by-2 matrices with the associated linear maps of R2.

Due to the conditions involving a nonlinear matrix inequality, a new sufficient condition with linear matrix inequality (LMI) is reformulated, which makes the full order fractional-order observer implemented easily by using Matlab LMI toolbox.

Surprisingly, blends based on 6-arm star-shaped poly d,l-lactide-co-glycolide) retain their mechanical properties for a longer period than blends with linear matrices of comparable composition.

Considered both the situation with unknown control function matrices and the situation with linear unmodeled input dynamics, adaptive neural robust controller was designed by using adaptive backstepping method for a class of multi-input to multi-output nonlinear systems which could be turned to "standard block control type".