DL-FIND

DL-FIND is used for minimization. libdlfind 0.0.3.

Versions

Registry pins for this code.

Role	Ref	Commit	Source
minimization	0.0.3	4167998d16d8	https://github.com/digital-chemistry-laboratory/libdlfind

Best cost

A shorter bar is a lower cost on a log scale shared by the codes of this problem.

A shorter bar is a lower cost on a log scale shared by the codes of this problem.

A shorter bar is a lower cost on a log scale shared by the codes of this problem.

Results

Ranked rows for this code, one version and one method on each row. PAR-2 counts a finished run as the calls it used and a failed run as twice the cap. An archived row shows the average it published, and its PAR-2 applies that rule to the failures the entry records. Scoring rules.

Every ranked row for this code. Select a column heading to sort.

Suite	Problem	Row	Family	Family rank	Unit	PAR-2	Published	Median calls	Mean calls	Hessians	FD calls	Failures	Runs
Minimization	Lennard-Jones 38 clusters	DL-FIND (0.0.3) · L-BFGS	Minimizers	14	force calls	231.908		184	202.105	0	0	crash 0, divergence 0, cap 1, wrong_stationary 1	1000
Minimization	Lennard-Jones 38 clusters	DL-FIND (0.0.3) · conjugate gradient	Minimizers	55	force calls	3048.62		2554	2958.62	0	0	crash 0, divergence 0, cap 9, wrong_stationary 0	1000
Minimization	Lennard-Jones 38 clusters	DL-FIND (0.0.3) · steepest descent	Minimizers	56	force calls	3093.74		2577	2993.74	0	0	crash 0, divergence 0, cap 10, wrong_stationary 0	1000
Minimization	Lennard-Jones 38 clusters with Gaussian force noise	DL-FIND (0.0.3) · L-BFGS	Minimizers	4	force calls	231.908		184	202.105	0	0	crash 0, divergence 0, cap 1, wrong_stationary 1	1000
Minimization	Lennard-Jones 38 clusters with Gaussian force noise	DL-FIND (0.0.3) · conjugate gradient	Minimizers	20	force calls	2747.86		1711.5	1941.79	0	0	crash 0, divergence 0, cap 0, wrong_stationary 44	1000
Minimization	Lennard-Jones 38 clusters with Gaussian force noise	DL-FIND (0.0.3) · steepest descent	Minimizers	21	force calls	2798.89		2371.5	2752.2	0	0	crash 0, divergence 0, cap 3, wrong_stationary 1	1000
Minimization	Morse bulk	DL-FIND (0.0.3) · L-BFGS	Minimizers	55	force calls	13626.5		74.5	80.42	0	0	crash 0, divergence 0, cap 0, wrong_stationary 68	100
Minimization	Morse bulk	DL-FIND (0.0.3) · conjugate gradient	Minimizers	58	force calls	16449.2		234.5	247.59	0	0	crash 0, divergence 0, cap 0, wrong_stationary 82	100
Minimization	Morse bulk	DL-FIND (0.0.3) · steepest descent	Minimizers	60	force calls	17438.6		264	282.19	0	0	crash 0, divergence 0, cap 0, wrong_stationary 87	100