Sentence examples for matrices and find from inspiring English sources

Afterwards, we find eigenvectors of these commuting matrices and find the norm of error between samples of corresponding Hermite-Gaussian functions and the eigenvectors.

Rajan and Abbott [11] studied balanced rank one perturbations of Gaussian matrices and found that, remarkably, the spectrum is unchanged.

Rajan and Abbott [11] studied balanced rank one perturbations of Gaussian matrices and found that the spectrum is largely unchanged.

Deineko and Woeginger [19] investigated the Max-TSP on symmetric Demidenko matrices and found that in strong contrast to the usual TSP, the Max-TSP is NP-hard to solve.

In this study, we rely on Gunarso et al. (2013) who compiled detailed land use matrices and found that 1.1 Mha of forest land (of various types) and 0.7 Mha of peatland were converted to oil palm plantations in the decade 2000 2010 which represent 19 and 35% of the total deforestation and peatland conversion, respectively.

We took advantage of being able to compare human and murine TAP specificity matrices, and found that several residues at the N-terminus of peptides that strongly influence binding to human TAP showed little effect on binding to murine TAP.

Inspired by this, we developed a general model of TCR peptide recognition using amino acid similarity matrices and found that such a model was able to predict the cross-reactivity of a diverse set of CTL epitopes.

Moreover, we have measured a single virus type propagated in two unique matrices and found consistent peaks among the infected samples (unpublished data), thus providing further evidence that the SERS spectra are a direct measurement of the virus rather than host-response factors.

61 They also compared 83 different matrices including physicochemical and structural distance matrices and found BLOSUM62 matrix was among the top three.

We then correlated the two grouped matrices and found a strong correlation (Spearman's r = 0.62, p = 0.0001).

Through the use of permutation and FDR analyses, we evaluated 10 weighting score matrices and found that one of them had the best performance.