Benchmark id: inv2b
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 |
| gallovic1 | 125.6 | 11.1 | 1.8 | 57.6 | 138.8 | 16.7 | 3.1 | 57.2 |
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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.