FMM-Accelerated Polyharmonic Neural Field Head / results_corrected.json

✓✓ Beats tuned baseline

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 1{
 2  "seed": 2128,
 3  "n": 180,
 4  "queries": 300,
 5  "math_checks": {
 6    "scale_rho": [
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 8      1.0,
 9      2.0,
10      4.0
11    ],
12    "predicted_rho2": [
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15      4.0,
16      16.0
17    ],
18    "observed_projected_norm_ratios": [
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20      1.0,
21      4.0,
22      16.000000000000004
23    ],
24    "scale_max_abs_error": 3.552713678800501e-15,
25    "projected_squared_distance_ratio": 3.0858473597818377e-15,
26    "predicted_projected_polynomial_ratio": 0.0,
27    "random_nullspace_constraint_norm": 1.3093573286826068e-14,
28    "exact_interpolation_max_error": 2.0095036745715333e-14,
29    "exact_solution_constraint_norm": 8.076158613023904e-15
30  },
31  "pcg_vecchia": [
32    {
33      "m": "none",
34      "iterations": 292,
35      "relative_residual": 7.64767016209227e-08,
36      "constraint": 2.739193735771463e-15
37    },
38    {
39      "m": 2,
40      "iterations": 208,
41      "relative_residual": 4.352240100142573e-08,
42      "constraint": 1.1670892605204206e-14
43    },
44    {
45      "m": 4,
46      "iterations": 202,
47      "relative_residual": 6.280924015932138e-08,
48      "constraint": 4.30653269835061e-15
49    },
50    {
51      "m": 8,
52      "iterations": 199,
53      "relative_residual": 5.57321407921791e-08,
54      "constraint": 7.108754571044186e-15
55    },
56    {
57      "m": 16,
58      "iterations": 196,
59      "relative_residual": 3.8307191264544514e-08,
60      "constraint": 5.694617103796044e-15
61    },
62    {
63      "m": 32,
64      "iterations": 196,
65      "relative_residual": 6.317073177265559e-08,
66      "constraint": 5.5020878375480174e-15
67    }
68  ],
69  "evaluation": {
70    "dense_seconds": 0.002876533006201498,
71    "chunked_seconds": 0.0026479390071472153,
72    "chunked_vs_dense_max_error": 0.0,
73    "reference_query_rmse": 0.023998067080696645
74  }
75}