Square-Root Error-Density Timestep Grid / results.json
Mechanism confirmed, baseline not beaten
1{
2 "predictions": [
3 {
4 "claim": "adaptive cost approaches C*=L^2/(2N)",
5 "observed": [
6 {
7 "N": 8,
8 "uniform_cost": 0.7271701867623693,
9 "adaptive_cost": 0.3691377829361041,
10 "predicted_lower_bound": 0.34943393360376745,
11 "adaptive_over_bound": 1.0563879103815927,
12 "uniform_over_adaptive": 1.969915355124292,
13 "max_equalized_cost_ratio": 2.028686838560496
14 },
15 {
16 "N": 16,
17 "uniform_cost": 0.36358509448295495,
18 "adaptive_cost": 0.17738442769116214,
19 "predicted_lower_bound": 0.17471696680188373,
20 "adaptive_over_bound": 1.015267325996468,
21 "uniform_over_adaptive": 2.0497013137815023,
22 "max_equalized_cost_ratio": 1.3179127333312886
23 },
24 {
25 "N": 32,
26 "uniform_cost": 0.1817925472414657,
27 "adaptive_cost": 0.08775244191524562,
28 "predicted_lower_bound": 0.08735848340094186,
29 "adaptive_over_bound": 1.0045096766675268,
30 "uniform_over_adaptive": 2.0716522899390917,
31 "max_equalized_cost_ratio": 1.107957314442003
32 },
33 {
34 "N": 64,
35 "uniform_cost": 0.09089627362073263,
36 "adaptive_cost": 0.04372892214303123,
37 "predicted_lower_bound": 0.04367924170047093,
38 "adaptive_over_bound": 1.001137392514755,
39 "uniform_over_adaptive": 2.0786305531022133,
40 "max_equalized_cost_ratio": 1.0329002644698788
41 },
42 {
43 "N": 128,
44 "uniform_cost": 0.04544813681036626,
45 "adaptive_cost": 0.02184584929866585,
46 "predicted_lower_bound": 0.021839620850235466,
47 "adaptive_over_bound": 1.0002851903186916,
48 "uniform_over_adaptive": 2.0804014615784165,
49 "max_equalized_cost_ratio": 1.0082555885953763
50 }
51 ]
52 },
53 {
54 "claim": "width proportional to a^{-1/2}",
55 "observed_log_correlation": 0.9999941127573625,
56 "tolerance": "correlation > 0.98 on this smooth density"
57 },
58 {
59 "claim": "a -> c*a leaves grid invariant and scales cost by c",
60 "observed": [
61 {
62 "scale": 0.25,
63 "grid_max_difference": 0.0,
64 "cost_ratio_to_reference": 0.25,
65 "predicted_cost_ratio": 0.25
66 },
67 {
68 "scale": 1.0,
69 "grid_max_difference": 0.0,
70 "cost_ratio_to_reference": 1.0,
71 "predicted_cost_ratio": 1.0
72 },
73 {
74 "scale": 4.0,
75 "grid_max_difference": 0.0,
76 "cost_ratio_to_reference": 4.0,
77 "predicted_cost_ratio": 4.0
78 },
79 {
80 "scale": 16.0,
81 "grid_max_difference": 0.0,
82 "cost_ratio_to_reference": 16.0,
83 "predicted_cost_ratio": 16.0
84 }
85 ]
86 }
87 ],
88 "pilot_robustness": [
89 {
90 "relative_noise": 0.0,
91 "grid_linf_error": 0.00035867876551431976,
92 "cost_ratio_using_true_a": 0.9999436432836555
93 },
94 {
95 "relative_noise": 0.05,
96 "grid_linf_error": 0.0013162826737388444,
97 "cost_ratio_using_true_a": 1.0001412653274615
98 },
99 {
100 "relative_noise": 0.1,
101 "grid_linf_error": 0.004900863792558385,
102 "cost_ratio_using_true_a": 1.0009030208470313
103 },
104 {
105 "relative_noise": 0.2,
106 "grid_linf_error": 0.012353291078149087,
107 "cost_ratio_using_true_a": 1.0034820474265749
108 },
109 {
110 "relative_noise": 0.4,
111 "grid_linf_error": 0.008321944801356174,
112 "cost_ratio_using_true_a": 1.0116210225456828
113 }
114 ],
115 "ode_mini_experiment": [
116 {
117 "N": 8,
118 "uniform_abs_error": 0.6864483545101536,
119 "adaptive_abs_error": 0.03685096351801369,
120 "error_ratio_adaptive_over_uniform": 0.053683519344015856
121 },
122 {
123 "N": 16,
124 "uniform_abs_error": 0.06977000800414875,
125 "adaptive_abs_error": 0.018374636970129636,
126 "error_ratio_adaptive_over_uniform": 0.2633601098202113
127 },
128 {
129 "N": 32,
130 "uniform_abs_error": 0.034334091052752536,
131 "adaptive_abs_error": 0.009468826448912927,
132 "error_ratio_adaptive_over_uniform": 0.27578497518296236
133 },
134 {
135 "N": 64,
136 "uniform_abs_error": 0.016701189796187614,
137 "adaptive_abs_error": 0.004872624944327768,
138 "error_ratio_adaptive_over_uniform": 0.2917531627261696
139 }
140 ],
141 "density_summary": {
142 "min": 1.0,
143 "max": 81.0,
144 "peak_u": 0.7000000000000001
145 }
146}