CUBIC quickly increases congestion window and reduces burst packet losses by adjusting congestion window based on

cubic function. Compound TCP uses not only packet loss but also delay information to increase congestion window.

In this paper, considering the uncertainty of structural dynamic monitored data and the diversity of initial stress state probability distributions, the optimum Bayesian dynamic linear prediction method about monitored extreme stress including nonlinear effects is given with

cubic function, and the detailed contents are described in detail as follows.

Again using OLS regression, we modeled the change in these distributions with increasing [sigma] by fitting all [t.sub.MF] values as a negative

cubic function of rank order,

This

cubic function is more desirable than the quadratic one besides its amenability to efficiency analysis.

Figure 1 illustrates the three most general forms a

cubic function may assume.

By contrast, a

cubic function does not have the steady growth of a quadratic.

Such a chain may be compared with the celebrated Fermi-Pasta-Ulam (FPU) chains as a paradigm of the ILMs where the restoring force is given by a

cubic function of displacement called the FPU-[beta] model [15].

CUBIC replace the concave and convex windows growth function of BIC by

Cubic function as shown in Figure 2.

The relationship between cotton yield (kg/ha) and ammonium sulfate was best described by a

cubic function at concentrations of 750, 1,125 and 1,500 kg/ha of calcium sulfate; on the other hand, a linear function was best adjusted in the absence of calcium sulfate.

Simple data dependent constraints were derived for free parameters used in the description of rational

cubic function to achieve the desired shape of the data.

The corresponding family of cubics thus contains no degenerate curves for which y is a quadratic or

cubic function of x (or vice versa) since assuming otherwise leads to the condition that [a.sub.1,1] = 0 or [a.sub.2,2] = 0.

[1]studied shape preserving curve interpolation for positive, monotone, convex data and data lying above a line, using a piecewise rational

cubic function with four shape parameters.