pwF2
pwF2(n, strength, backupMinutes, dataMode, tMax, job, nNodes, randnState)
Find best of n fits.
Start each fit with parameter values before starting the fit sequence,
but disturb parameters with given strength (compare pwDisturb).
Arguments for pwF2
backupMinutes: Save repository every backupMinutes minutes.
If set to 0 (default), no backup is saved.
dataMode: 0 (default) Fitted data is unchanged.
1 (Gauss) Data is simulated based on original values plus Gaussian noise.
2 (Monte-Carlo) Data is simulated based on model values plus Gaussian noise.
3 (Bootstrap) Data points are drawn with replacement
from the set of all data points.
Compare pwSimulateNewRealization.
tMax Maximum time point for the function to run.
If empty, the function will not be stopped prematurely.
With tMax = datenum(2009,11,01,19,0,0),
the fit sequence will be interrupted if the current
time exceeds 7pm of November 1, 2009.
job A job object as described in the Parallel Computing Toolbox.
nNodes Number of nodes in the cluster to be used.
randnState If not empty, the state for randn will be set to randn('state', randnState)
for Matlab up to version 7.6 and else to
defaultStream = RandStream.getDefaultStream;
defaultStream.State = randnState;
