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The pre-processing steps, in which the algorithm eliminates the useless material, might keep it stuck in the initial percentage (2%, 4%, etc) for a while, but after that, the optimization can get faster.

MiningMath can virtually handle any model size. It has successfully run models from clients beyond 10M blocks without reblocking, which might take a few hours to finish. The runtime is directly proportional to the number of blocks, destinations, periods, constraints in use, and variables imported. Therefore, the combination of multiple aspects, are directly related to the complexity of the deposit.

Check for any ‘floating blocks‘ that are not connected to the model’s topography, as shown below. These regions can impact optimization, so removing them might help MiningMath to function properly.