Yet another stochastic global optimizer

Implement a stochastic global optimizer using the following algorithm,

  1. Use the given number of seconds (or the number of samples) to search for the global minimum of the given cost-function in the given volume by sampling the function using a low-discrepancy sequence.
  2. From the best point found at the previous step run your favourite local minimizer.