Wanted to float some ideas for the LeastSquaresOptimizer (Possibly General
Optimizer) design. For example with the LevenbergMarquardtOptimizer we would
do:
`LevenbergMarquardtOptimizer.optimize(OptimizationContext c);`
Rough optimize() outline:
public static void optimise() {
//perform the optimization
//If successful
c.notify(LevenberMarquardtResultsEnum.SUCCESS, solution);
//If not successful
c.notify(LevenberMarquardtResultsEnum.TOO_SMALL_COST_RELATIVE_TOLERANCE,
diagnostic);
//or
c.notify(LevenberMarquardtResultsEnum.TOO_SMALL_PARAMETERS_RELATIVE_TOLERANCE,
diagnostic)
//etc
}
The diagnostic, when turned on, will contain a trace of the last N iterations
leading up to the failure. When turned off, the Diagnostic instance only
contains the parameters used to detect failure. The diagnostic could be viewed
as an indirect way to log optimizer iterations.
WDYT?
Cheers,
- Ole
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