Repeatedly attempt a compute plan until successful
The provided compute plan is run until the status code indicates success (0 or 1). It gives up after a small number of retries.
mxComputeTryHard( plan, ..., freeSet = NA_character_, verbose = 0L, location = 1, scale = 0.25, maxRetries = 3L )
plan |
compute plan to optimize the model |
... |
Not used. Forces remaining arguments to be specified by name. |
freeSet |
names of matrices containing free variables |
verbose |
integer. Level of run-time diagnostic output. Set to zero to disable |
location |
location of the perturbation distribution |
scale |
scale of the perturbation distribution |
maxRetries |
maximum number of plan evaluations per invocation (including the first evaluation) |
Upon failure, start values are randomly perturbed. Currently only
the uniform distribution is implemented. The distribution is
parameterized by arguments location and scale. The
location parameter is the distribution's median. For the uniform
distribution, scale is the absolute difference between its
median and extrema (i.e., half the width of the rectangle). Each
start value is multiplied by a random draw and then added to a
random draw from a distribution with the same scale but
with a median of zero.
Shanno, D. F. (1985). On Broyden-Fletcher-Goldfarb-Shanno method. Journal of Optimization Theory and Applications, 46(1), 87-94.
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