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The ℓ0 minimization is an NP-hard problem.
However, nuclear norm minimization is an over-relaxing recovery solution of low-rank matrix [37].
Wastewater minimization is an effective approach to decrease environmental pollution and water lavish in process industry.
What remains to be seen is whether privacy experts, marketers and security professionals can agree that data minimization is an important step.
Although solving the above problem will generate a low-rank matrix consistent with the observations, rank minimization is an NP-hard problem.
Since minimization is an exactly fixed point of its projection mapping, we have (x^=P_{C}x^) and (Ax^=P_{Q}Ax^).
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Minimization is a dynamic randomization method for clinical trials.
So, the excess power minimization is a constraint for this optimization.
Convex risk minimization is a commonly used setting in learning theory.
Cost minimization is a major concern in data center networks (DCNs).
Stress minimization is a major aspect of structural optimization in a wide range of engineering designs.
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