The notation m is omitted for simplicity, owing to the computation of the power of signals in (24).
Although 2D 1D environments enjoy the advantages of 2D modeling (simplicity, duality, etc)., the computation of all delays and path lengths still needs to be performed in a 3D space.
The advantage of this method, behind its simplicity, is that it allows the computation of the discovery probability of a target sample for quite large search spaces.
The predictive power of the proposed model combined with simplicity of its implementation introduces an attractive reduced model for the computation of turbulent flames.
These computations are preliminary to the computation of.
The main advantage of this method is its simplicity: the computations necessary are exactly the same as that of the single-load system, only performed several more times.
Due to the requirement of enumerators, the SDs we discuss in this work are all based on complex-valued SE enumeration in [11, 12] for simplicity, namely computation of coordinate bound (CCB) enumeration.
For the simplicity of computation, the tag density at the position d nt (d < L) from the binding site can be approximated by: Given the modeled tag density profile from a binding site, we adopt a least-squares fitting technique to identify TF binding sites.
For simplicity of the computations, we restrain our study to a satellite that follows a circular orbit, i.e. we have (dot {r}_{B} = 0 = dot{r}_{A} ), where the dot stands for derivative with respect to proper time.
The advantage of the method is the simplicity of computation, since extra operations such as re-initialization of functions are not required.
