Hierarchical self-stabilizing algorithms can evaluate intellectual property risks and identify solutions that cover all IP dimensions or suboptimal ones to reduce overall risk.
Linear self-stabilizing algorithms for the in- dependent and dominating set problems using an un- fair distributed scheduler,
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Minimizing Intellectual Property Risks via Self-Stabilizing Algorithms
Hierarchical self-stabilizing algorithms can evaluate intellectual property risks and identify solutions that cover all IP dimensions or suboptimal ones to reduce overall risk.