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The differences between the results obtained experimentally and computationally were minimized using an optimization technique.
The undesirable harmonic components in the output of the matrix converter have been minimized using an advanced modulation technique called as trapezoidal modulation technique.
The effect of streaking was minimized using an improved decision based algorithm [14] given by Madhu et al. that used mean of preprocessed pixel which resulted in reduced streaks.
The likelihood is minimized using an iterative optimization algorithm involving step-wise parameter adjustments and repeated simulations.
Variations in SUV between two institutions were minimized using an anthropomorphic body and six spheres (inner diameter, 10, 13, 17, 22, 28, and 37 mm).
Magnetic field inhomogeneity was minimized using an image-based shimming approach [Poole and Bowtell, 2008; Wilson et al., 2002] as described in detail in Sanchez-Panchuelo et al. (2010).
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An objective function is minimized using a gradient method.
The initial structure was minimized using a seven-step procedure involving 1000 steps of steepest descent minimization followed by 4000 steps of conjugate gradient minimization at each step.
Alternatively, the bifacial cell transmittance loss can be minimized using a textured module rear cover.
The back-propagation network training error, prediction error and training time were minimized using a second fractional factorial design.
The mean square error between measured and TM predicted responses is minimized using a non-classical heuristic algorithm.
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