Sentence examples for mean square distances from inspiring English sources

Each component denotes the mean square distances for point y i to the kth NFL.

The native state is characterized by a distribution of root mean square distances (RMSD) from the NMR data that peaks at 1.8 Å, and is as low as 0.4 Å.

The calculated root mean square distances (RMSD) between HAVCR1 and CD4, CXADR, and HAVCR2 were 2.3, 1.9, and 1.3, respectively [46], [47], [48], [49], [50].

The pair-wise root mean square distances (r.m.s.d.s) of backbone heavy atoms between our structure and known mDia1 crystal structures are less than 1.5 Å for the DID and 2.2 Å for the DD in isolation (Table 2).

The achieved distances to the target outputs are found by PCA of the output metrics resulting from the simulations together with the target output (using centred and standardised variables), and calculation of the Root Mean Square Distances (RMSDs) of each simulation to the target in the PCA scores.

A pixel-wise mean square distance (PWMSD) feature is used for detecting slow motion regions [1].

RMSD is the root mean square distance between the surface of the model positioned in the pose = and projection lines.

Then, the Hausdorff distance can be defined as a root mean square distance as follows: d_{text{root}} X,Y =sqrt{frac{1}{|X|}intnolimits_{xin X}dleft x,Yright)^{2}dX} (4).

Lemma 2.1: The mean square distance from the training points to the NFLs can be represented in the form of a Laplacian matrix.

The mean square distance for all training samples to their corresponding NFLs is minimized and its representation is given by the following lemma.

By using the mean square distance of (9), Table 2 shows the obtained results applying inverse kinematics with and without the image-based constraints.