According to  the model dependence of data transmission rate on signal power at the receiver input s is a jump function which increases with power growth.
Considering the attenuation model we describe dependence of throughput on the distance of jump function (see Figure 5):
The nonstandard jump functions used in the study are as follows: for standard jump function [psi](x) with [[psi]] = [[psi].sub.1] - [[psi].sub.0] at x = 0, and a nonstandard jump function is defined in the following form Salas and Iollo  and Baty et.
Along the characteristic curve, nonstandard jump function across the shock front can be written in terms of non dimensional variables [pi], g, v and [xi] in the following form
If f is continuous at [theta], then the jump function [f]([theta]) = 0.
which is constructed to approximate the jump function [f]([theta]).
where [lambda] = 1 in this Poisson law; k is an intensity parameter of the jump function; [PI] repeats the range of the jump function noticed on the history reports previously mentioned; and [theta] represents the points of the rate curve [1,30] years in EUR and USD.
(18.) DJ is a jump function which follows a Poisson law with an intensity parameter [lambda] and a jump range equal to [PI] > 0
This system of artificial intelligence works with the newly developed High Speed Jump function
to amazingly sharpen productivity.
By using a non-constant JUMP function
, we are able to move x forward by various distances without the need of additional searching to find where to move x.
If [rho] and [sigma] denote its associated jump functions
, then we denote by [??] and [??] the jump functions
associated to [T.sup.*].
The maximal error appears in T areas where steps used for [f.sup.F] (t) on T are significantly larger than the corresponding jump functions