1-separable 1-separable in 5-D
1-separable 2-moderate in 5-D
1-separable 3-ill-conditioned in 5-D
1-separable 4-multi-modal in 5-D
1-separable 5-weakly-structured in 5-D
2-moderate 2-moderate in 5-D
2-moderate 3-ill-conditioned in 5-D
2-moderate 4-multi-modal in 5-D
2-moderate 5-weakly-structured in 5-D
3-ill-conditioned 3-ill-conditioned in 5-D
3-ill-conditioned 4-multi-modal in 5-D
3-ill-conditioned 5-weakly-structured in 5-D
4-multi-modal 4-multi-modal in 5-D
4-multi-modal 5-weakly-structured in 5-D
5-weakly-structured 5-weakly-structured in 5-D
All functions in 5-D
1-separable 1-separable in 20-D
1-separable 2-moderate in 20-D
1-separable 3-ill-conditioned in 20-D
1-separable 4-multi-modal in 20-D
1-separable 5-weakly-structured in 20-D
2-moderate 2-moderate in 20-D
2-moderate 3-ill-conditioned in 20-D
2-moderate 4-multi-modal in 20-D
2-moderate 5-weakly-structured in 20-D
3-ill-conditioned 3-ill-conditioned in 20-D
3-ill-conditioned 4-multi-modal in 20-D
3-ill-conditioned 5-weakly-structured in 20-D
4-multi-modal 4-multi-modal in 20-D
4-multi-modal 5-weakly-structured in 20-D
5-weakly-structured 5-weakly-structured in 20-D
All functions in 20-D
Empirical cumulative distributions (ECDF) of run lengths and speed-up ratios in 5-D (left) and 20-D (right). Left sub-columns: ECDF of the number of f-evaluations divided by dimension D (FEvals/D) to reach a target value Iref+∆I with ∆I =10k, where k is given by the first value in the legend, for algorithmA (°) and algorithmB (♦) . Right sub-columns: ECDF of FEvals ratios of algorithmA divided by algorithmB for fixed target precision values 10k with k given in the legend; all trial pairs for each function. Pairs where both trials failed are disregarded, pairs where one trial failed are visible in the limits being > 0 or < 1. The legend also indicates, after the colon, the number of functions that were solved in at least one trial (algorithmA first).