Improved capabilities of the TurboGAP code for radiation induced cascade simulations: An illustration with silicon

· · 来源:proxy资讯

Like the N-convex algorithm, this algorithm attempts to find a set of candidates whose centroid is close to . The key difference is that instead of taking unique candidates, we allow candidates to populate the set multiple times. The result is that the weight of each candidate is simply given by its frequency in the list, which we can then index by random selection:

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"If we find out for example, that 60% of our young people are working in really hard physical labour, we will need to make sure that in 20 years time we've invested in physiotherapy," she said.

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with the flexibility and complexity that entails.