Sentence examples for stochastic number from inspiring English sources

The noiseless sampling method is as follows: For formula (6), generate a stochastic number x 1 between [− 1,1] and a stochastic number x 2 between [− 10,10].

A finite element model in conjunction with stochastic number program that can automatically specify random damages of various extents is developed.

For formula (7), generate a stochastic number x 1 between [− 1.1832,1.1832], use the same approach to calculate x 3, and generate a stochastic number between [− 1,1] and evaluate it as x 2. The algorithm will finish until it gets enough amount of sampling.

First, mathematical models developed based on different characteristics: type of parameters (deterministic, probabilistic or stochastic), number and type of objective function, numbers of commodity and modes, relocation time, number of relocation and relocating facilities, time horizon, budget and capacity constraints and their applicability.

This depends on both the initial conditions (i.e., the initial state and parameter values) and the chain of generated stochastic numbers.

Denote stochastic reproduction number (mathscr{R} _{s}=mathscr{R}_{0}-frac{sigma_{2}^{2}}{2(mu +delta +gamma )}), we have proved that the (mathscr{R}_{s}) is a threshold of model (2) for the disease to die out or persist, and noise intensities can change the value of the stochastic reproduction number (mathscr{R} _{s}).

It is generally assumed that the loss of a tumor suppressor gene or the gain of an Oncogene is the mechanism by which chromosomal alterations cause PNETs, but stochastic chromosomal number changes are also possible.

Moreover, each genotype, except DKO, possess two modes of responses; acute-stochastic (small number of immune-related genes) and collective modes (rest of ORFs).

The stochastic large-number character of biological systems lies at the very heart of biological physics and is so dominant that the emergence of "new" laws of physics on higher levels of complexity was already claimed in the early 1940s [ 3].

As the sequencing step is a stochastic process, the number of times a sequence is read should be reflective of its relative copy number in the original sample.

An important parameter is the stochastic basic reproduction number (R_{0}^{s}), which is less than the corresponding deterministic version (R_{0}).