Benchmark id: inv2a
Waveform mistfits
| Solution | Horizontal components | All components | ||||||
| 1-Norm | 2-Norm | RMSE | %VR | 1-Norm | 2-Norm | RMSE | %VR | |
| SIVdata | 0.0 | 0.0 | 0.0 | 100.0 | 0.0 | 0.0 | 0.0 | 100.0 |
| asano | 124.7 | 2.9 | 0.5 | 95.1 | 140.4 | 4.2 | 0.8 | 95.3 |
| cedrict | 451.5 | 26.8 | 1.5 | 50.1 | 521.7 | 48.2 | 2.7 | 51.4 |
| cedrict2 | 484.6 | 32.2 | 1.7 | 38.9 | 565.9 | 59.6 | 3.0 | 36.5 |
| cedrict3 | 431.9 | 25.8 | 1.5 | 49.3 | 497.4 | 46.4 | 2.7 | 49.6 |
| gallovic001 | 100.2 | 8.6 | 1.7 | 54.3 | 117.6 | 15.3 | 3.0 | 53.4 |
| gallovic01 | 98.7 | 8.6 | 1.6 | 55.0 | 116.7 | 14.9 | 3.0 | 52.9 |
| gallovic1 | 55.5 | 2.1 | 0.9 | 84.3 | 63.8 | 3.0 | 1.5 | 83.2 |
| hoby | 282.6 | 10.9 | 1.0 | 73.5 | 311.6 | 14.7 | 1.7 | 73.0 |
| ids | 191.4 | 9.1 | 0.8 | 86.1 | 227.2 | 16.3 | 1.5 | 86.1 |
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The misfit metrics given below are computed for each waveform data and averaged for horizontal components only and for all the components.
1-Norm (sum of average absoluture errors) = Σ|y i - f(xi)|
2-Norm (sum of squares of the errors) = Σ(y i - f(xi))2
Variance Reduction (VR) (scaled sum of the squares of the errors) = 1 - [ Σ(y i - f(xi))2 ] / [ Σ y 2]
Note : The waveform misfits are scaled up by multiplying with 100 to highlight differences in the small values. Additionally, the entries indicated with *, if the waveform data has not been provided.
1-Norm (sum of average absoluture errors) = Σ|y i - f(xi)|
2-Norm (sum of squares of the errors) = Σ(y i - f(xi))2
Variance Reduction (VR) (scaled sum of the squares of the errors) = 1 - [ Σ(y i - f(xi))2 ] / [ Σ y 2]
Note : The waveform misfits are scaled up by multiplying with 100 to highlight differences in the small values. Additionally, the entries indicated with *, if the waveform data has not been provided.