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In this paper we will write the vector h as the row or column vector, depending on the situation.
Therefore mathematical models of such processes include an additional parameter which is called the control or disturbance vector depending on the character of the exterior influences.
The tool are designed by Matlab software, it generate all possible scale factors with corresponding signal to quantization noise (SQNR) and the RMS of the output then select the best scale vector Depending on the input mode.
Instead of designing a precoding matrix, N-continuous symbol mapping designs a perturbation vector depending on the current and the previous symbols so that the corresponding time-domain symbols have continuous values and derivatives everywhere.
We will find a normal mode to the linear reaction diffusion system (3.2) of the following form: mathbf{w}(mathbf{x},t)={mathbf{r}_{mathbf{q}}}e^{lambda_{mathbf {q}}t}e_{mathbf{q}}( mathbf{x}), (3.3) where ({mathbf{r}_{mathbf{q}}}) is a vector depending on q.
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The gradient vector depends on.
Its GB Burgers vector depends on the GB structure itself.
We consider a linear programming problem in which the right-hand side vector depends on multiple parameters.
Since the velocity truncation error vector depends on the size of a numerical block, Lagrangian methods may require extremely fine discretization of the underlying pressure grid.
In the case of independent channels, variety of particles in CSI vector depends on each channel and such polarization does not cause the decline in sub-particle variety.
The decision on whether to accept the value of a mutant vector or target vector as a trial vector depends on comparison of crossover rate with a random number as well as a selected random integer from the dimension of a problem (Eq. 34).
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