Sentence examples for vector derivation from inspiring English sources

Based on the vector derivation, some important results about the time-space relations of the airborne radar signal are obtained.

Therefore, a simple mechanism that the motion vector with the largest covered area by CW will be selected as the final motion vector in the motion vector derivation process.

The algorithm is tested with different DEMs, and its efficacy is demonstrated through the replication of the original vector drainage pattern, derivation of geomorphic attributes that are independent of tested DEM scale, and the visualization of monotonically decreasing longitudinal stream profiles.

To take advantage of this observation, we take the absolute value of the target vectors before the derivation of the conversion function.

For the case of Euler vector components, an analytical derivation based on the intrinsic geometrical relations between the components of an Euler vector is needed.

For the following theoretical derivation, a vector space should be defined as {boldsymbol{Z}}_i=left[begin{array}{c}hfill {boldsymbol{z}}_{i,1}hfill hfill vdots hfill hfill {boldsymbol{z}}_{i,j}hfill hfill vdots hfill hfill {boldsymbol{z}}_{i,q}hfill end{array}right]={boldsymbol{W}}_i, (9 where each vector z i,j is a row vector of Z i.

IR spectra of isolates from game animals and selected C. ulcerans and C. pseudotuberculosis strains were compared by cluster analysis by using the second derivation of vector normalized spectra (8 ).

The delta derivation of the vector product for the two vector-valued functions ({x}(t)) and ({y}(t)) is [12] begin{aligned} frac{partial}{Delta t}bigl({x}(t times{y}(t bigr) =&frac{partial {x}(t)}{Delta t} times{y}(t)+{x}^{sigma}(t timesfrac{partial {y}(t)}{Delta t} =&frac{partial{x}(t)}{Delta t}times{y}^{sigma}(t)+{x}(t timesfrac{partial{y}(t)}{Delta t}.

The figure shows orthogonal tangent vectors, although the following derivation does not require such.

The conjugate gradient method is used to compute the optimizing value of a function defined on a vector space, using only first derivation information.

A brief description and derivation of support vector regression can be referred from various literatures (Smola and Scholkopf 2004; Cristianini and Shawe-Taylor 2000; Raghavendra and Deka 2015a).