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Causal approximations are based on the idea that more approximate descriptions usually explain less about a phenomenon than more accurate descriptions.
These approximations are based on the structure and the internal capacitive coupling of SOI-FinFET.
The approximations are based on a local interpolation scheme and on an efficient simulation technique.
The PCE approximations are based on rigorous mathematical concepts developed from functional analysis and measure theory.
Approximations are based on an exchange rate of US$1.00 to GHC3.50 (Ghana Cedis) as at March, 2015.
The proposed approximations are based on certain physical assumptions which simplify the underlying characteristic equation to be solved.
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The construction of these approximations is based on a sequence of I.I.D. random variables.
The justification for the use of these approximations is based on a significant reduction in computational time by not requiring direct numerical integration, and the fact that only the first two moments of the distribution are known.
Income approximations were based on data from the German federal statistics bureau.
The mechanical modeling of the structure and the subsequent finite element approximation are based on the classical equations of motion, as they are derived from Hamilton's principle, in connection with simplified modeling of the piezoelectric sensors and actuators.
The mechanical modeling of the structure and the subsequent finite element approximation are based on Hamilton's principle and classical engineering theory for bending of beams in connection with simplified modeling of piezoelectric sensors and actuators.
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