Sequence run #13
Description
If you're fitting a model to data, sometimes it is helpful to initialize the model at a datapoint, run the model forward one timestep, compare with the next datapoint, reinitialize based upon the data, and run forward again. This type of operation should be easily parallelizable. One way to do this would be to pass into the run function an array of initial conditions, and have pysd cleverly allocate how they should be calculated.