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The multichannel blurs are identified iteratively using conjugate gradient optimization.
System optimization was carried out using Conjugate Directions Method.
One is transforming weak sharp minima to an optimization problem; another is using conjugate functions.
This minimization is usually carried out by minimizing the cross entropy using conjugate gradients.
By using conjugate trick, the problem can be solved and the sum rate increases significantly.
Before, equilibration, we performed energy minimization process using conjugate gradient method with 10,000 steps.
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Using conjugated concentrations improved reliability estimates only for BPA.
One possibility is using conjugated linoleic acid (CLA).
These results were also confirmed by the indirect inhibition assay using conjugated peroxidase.
For the convex case, we use conjugate functions to characterize weak sharp minima.
To that end, we use conjugate priors due to their convenient analytical properties on deriving the marginalized density.
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