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Host the data for the paper "Estimates on the dimension of self-similar measures with overlaps".

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The lower bounds on the dimension of Bernoulli convolutions

The complete computational results are stored as

The description of total 6 columns in each data file:

  1. Beta or beta: the starting value of beta in the small estimate interval.
  2. LowerBound: the uniform lower bound of the dimension of Bernoulli convolution in the small interval.
  3. PartitionLevel: the level (depth) of the natural partition constructed for estimation.
  4. EstimateLevel: the maximal backward iteration time L in the Algorithm 3.8 of the paper.
  5. BetaStep or Delta: the length of the small interval of beta.
  6. TimeConsumed: the time consumed in the algorithm implementation (measured in seconds). The results are computed on an ordinary PC (Intel(R) Core(TM) i5-4210H CPU 2.90GHz RAM 8GB).

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Host the data for the paper "Estimates on the dimension of self-similar measures with overlaps".

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