Sentence examples for length of the matrix from inspiring English sources
The aligned length of the matrix was 779/1303 characters of which 88/70 were parsimony informative.
The bending deformation was accomplished by actuating the SMA wire embedded along the length of the matrix eccentrically from neutral surface.
When the value of (sigma) is small, the characteristic length of the matrix is large, which leads to a small density of the fracture network.
The influences of the size, shape, orientation, rigidity, and intrinsic length of the reinforcing nanofibers as well as the effects of the characteristic length of the matrix on the effective shear modulus of the composite are addressed.
The proposed method shares the same structure as in the classical micromechanics, and when the fiber size is very large compared to the intrinsic length of the matrix, the classical micromechanics method can be recovered, as expected.
The determined stresses are then compared with those predicted by Cauchy theory, a size dependence is predicted in the framework of micropolar theory, and when the fiber's diameter is much larger than the characteristic length of the matrix, the classical prediction can be recovered.
It is interesting to remark that the granularity does not directly depend on the length of the matrices.
It is demonstrated that, as expected, the quality of particle dispersion depends strongly on the brush grafting density and the ratio of the oligomer length to the matrix polymer length.
When |K| is the number of sources and |J| is the number of depots, the dimension of the proposed matrix for GA representation will be |K|·|J| and the length of this matrix is |K| + |J|.
The aligned length of the DpcCYC1 matrix was 369 bases with 19 sequences and the DpcCYC2B matrix was 231 bases with 39 sequences.
[1] The chain of vectors (x_0, x_1ldots x_{k}in mathbb {C}^n), (x_0ne 0), is a Jordan chain of length k+1 of the matrix polynomial (L lambda )) if begin{aligned} sum _{p=0}^{i}frac{L^p lambda _0)}{p!}x_{i-p}=0,,,i=0,1,2ldotss k, end{aligned} (2.2 where (L^p lambda _0)) is the (p^{text{th}}) derivative of (L lambda )) at (lambda _0).
