Releases: numericalalgorithmsgroup/dfols
Releases · numericalalgorithmsgroup/dfols
Release v1.6.5
- Bugfix in handling of
restarts.throw_error_on_nansfrom v1.6.4
No change to main algorithm
Release v1.6.4
- Add new parameter
restarts.throw_error_on_nansto customize handling of NaN objective values during restarts
No change to main algorithm
Release v1.6.3
- Allow parameter
init.run_in_parallel=Truewheninit.random_initial_directions=False
No change to main algorithm
Release v1.6.2
- Using evaluation database with
scaling_within_bounds=Truedoes not overwrite database values. - Bugfix in output logging
No change to main algorithm.
Release v1.6.1
Bugfix when returning solution object containing error information from bad inputs (otherwise caused a Python error).
No changes to the main algorithm.
Release v1.6
Allow use of evaluation database as x0 to reduce number of objective evaluations required in initialization phase
When printing solution object, reduce the maximum length of residual/Jacobian vectors that are fully displayed
Release v1.5.4
Add ability to save/load results to/from a dictionary
Bugfix when printing results from a run which terminated early
Release v1.5.3
Bugfix when starting solver at problem minimizer
Release v1.5.2
- Bugfix for saving diagnostic info (bug introduced in v1.5.1), issue #23
Release v1.5.1
- Add new return values
soln.xmin_eval_numandsoln.jacmin_eval_nums - Allow option for parallel initial evaluations for non-random directions if
nptnot too large
Neither should affect the performance of the DFO-LS algorithm