Examples of 'coefficient can' in a sentence
Meaning of "coefficient can"
In mathematics, a coefficient can refer to a constant multiplier of a variable in a term. It represents the scaling factor that is applied to the variable. The coefficient can have different meanings depending on the specific context, such as in algebraic equations, statistical models, or geometric formulas
How to use "coefficient can" in a sentence
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coefficient can
Note that the coefficient can be one.
The coefficient can be interpreted as the degree of.
Based on these values a gelatinization coefficient can be defined.
A correlation coefficient can also be appropriately changed.
In this way the insertion loss coefficient can be reduced.
The correlation coefficient can be determined by initial calibration.
In this way paper with a high frictional coefficient can be produced.
The partition coefficient can also be calculated.
If you activate the temperature compensation the temperature coefficient can be changed.
The distribution coefficient can be expressed as.
The coefficient can either be a negative or positive depending on the data.
The measured apparent diffusion coefficient can vary between methods.
This coefficient can be averaged for a series of eyes.
The material having a high friction coefficient can in particular be a polymer.
The coefficient can be determined.
See also
The maximum value the reliability coefficient can assume is one.
The absorption coefficient can be used to calculate reverberation times.
The formula is normally used to create diagrams where the friction coefficient can be read.
The weighting coefficient can be according to any type of parameter.
As a sixth embodiment, a method of using a selective coefficient can exist.
The reaeration coefficient can be determined by empirical models or experimental methods.
This iterative techniques for calculating the partition coefficient can be programmed for computation by computer.
The meshedness coefficient can be used to estimate the redundancy of a network.
As a second method, a method of using a cross channel coefficient can exist.
Temperature coefficient can vary based on temperature and time of day.
Depending on the severity grade of the subject, a corrective coefficient can be calculated.
The reflection coefficient can be measured for several incidence angles θ.
As a first method, a case of not using a cross channel coefficient can exist.
This coefficient can be measured with the aid of a network analyser.
The mirror with the highest transmission coefficient can then be used as a light exit mirror.
The coefficient can be included in the upper inertial moment information.
The value of a correlation coefficient can vary from minus one to plus one.
The coefficient can be determined using the test method for the water uptake.
Thus, the thermal expansion coefficient can be effectively lowered.
This coefficient can also be determined using the curvature computed by photogrammetry and image processing.
Therefore, the estimation accuracy of the quantization step coefficient can be improved.
The partition coefficient can be calculated using an interative technique as follows.
Under these conditions, a simplified apparatus for the measurement of the void coefficient can be used.
The first coefficient can be different from the second coefficient.
The calculation of the new calibration coefficient can be achieved using the formulas,.
The diffusion coefficient can thus be estimated by analysis of the exponential signal decay.
After determining the form factor, the ballistic coefficient can be determined as a mathematical equation.
This runoff coefficient can be then used for extended monthly or annual hydrologic modeling.
In this case, the Pearson coefficient can help us.
Thevalue of this coefficient can be deduced from the kinematical distribution of the decay events.
Then the two-dimensional distribution of the attenuation coefficient can be reconstructed from the CT principle.
The biomass yield coefficient can be taken from the literature or determined by cultivation experiments.
From a practical point of view, this coefficient can be computed as follows,.
The correlation coefficient can be used to evaluate the similarity between two linear dependent signals.
Here, the reconstructed quantization matrix coefficient can be calculated using inverse DPCM.
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You can have all the rest
Things that you can barely imagine
Sou can manage the company alone