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A new mathematical equation is proposed to assess the likelihood of risk and identify the optimum inspection interval.
An appropriate mathematical equation is proposed to model the degradation data as a function of time and temperature.
Based on finite element collapse load (twice-elastic-slope) results, a mathematical equation is proposed to include the effect of ovality.
Reducing a process as intuitive and sometimes emotional as writing to the objectivity of solving a mathematical equation isn't always helpful or desirable.
So the mathematical equation is pretty simple: lots more passengers X fewer flights = more crowded conditions on planes.
Since PNSRL is based on graph theory, the mathematical equation is positively affected by calculating a more accurate representation of ITRL and composite SRL.
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Second order mathematical equation was constructed to predict the data through regression analysis.
A neuronal mathematical equation was created to predict the inhibition diameters for experimental data not included in the basic learning.
A polynomial mathematical equation was obtained by regression analysis using JMP software for predicting the experimental model.
To calculate the specific gravity of the samples, the following mathematical equation was used: {upgamma}_{mathrm{s}}=frac{P_2-{P}_1}{left {P}_4-{P}_1right -left {P}_3-{P}_2right)} (1).
From this diagram, a mathematical equation was derived as (tau = left{ {begin{array}{ll} { - rho times omega } & {y < emptyset } { - rho ^{{ y - 2)}} times omega times log y} & {y ge emptyset } end{array} } right).
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