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We also used the robust random sampling method due to its resistance to errors and outliers.
A robust random number generator is crucial for avoiding adversarial join leave attacks on peer-to-peer overlay networks.
We then extend our robust fair coin flip result to solve the problem of robust random number generation in the aTAM for all n.
Two variants of robust random bit generation solutions are presented: an unbounded space solution and a bounded space solution which incurs a small bias.
In this paper we introduce the robust random number generation problem where the goal is to design an abstract tile assembly system (aTAM system) whose terminal assemblies can be split into n partitions such that a resulting assembly of the system lies within each partition with probability 1/n, regardless of the relative concentration assignment of the tile types in the system.
Furthermore, we found that the other two criteria are extremely robust: random addition and deletion of up to 15% of the edges has no appreciable effect on the statistically significant ranges of cutoff values for all four networks (data not shown).
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By using purely graph theoretical measures – the diameter of the network and the size of the largest connected component – they found that scale-free networks are much more robust against random errors than random networks but more vulnerable against directed attacks.
The work we reported here suggests that viability in the E. coli metabolic network is significantly more robust to random reaction removal than in random viable genotypes for the three environments we studied.
We tested the expectation that power-law networks are robust to random disruption of component nodes by comparing the effect of environmental and mutational stresses on hub and random gene disruptions in E. coli.
A robust and random sample means nothing, then, if a disproportionate number of those polled are being less than sincere.
Complex or large search patterns are robust to random motions, but they are expensive.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.
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CEO of Professional Science Editing for Scientists @ prosciediting.com