First, Hamilton's principle, Lagrange multiplier, geometric constraints and partitioning method are employed to derive its dynamic equations for numerical simulations.
In this paper, Hamilton's principle, Lagrange multiplier, geometric constraints and partitioning method are employed to derive the dynamic equations of a slider-crank mechanism driven by a servomotor.
This TDOA measurement can then be converted to the difference of geometric ranges by multiplying the speed of light with both sides of Equation 16.
Geometric aggregation, usually by multiplying the nth root of n items, has been used successfully by the UNDP Human Development Index [ 27] but does require higher technical capacity.
The amount of surface-bound antibodies was expressed in arbitrary units as a fluorescence index (FI), calculated by multiplying the geometric mean fluorescence intensity by the percentage of FITC-positive bacteria.
A geometric mean is found by multiplying all values in a list and then taking the root of that product equal to the number of values (e.g., the square root if there are two numbers).
To address both parameters, results were expressed as a Fluorescence Index (calculated as the geometric mean of the fluorescence multiplied by the percentage of positive cells).
Results were expressed as fluorescence index defined as the proportion of positive neutrophils for fluorescent bacteria multiplied by the geometric mean fluorescence intensity (MFI) which correlates with the amount of bacteria phagocytosed per cell [26], [30].
Results of the complement binding assay are presented as a mean fluorescence index [FI (Fluorescent Index), proportion of positive bacteria expressed as a percentage multiplied by the geometric mean MFI] in arbitary units [12], [17], [18].
