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Table 3
Spline interpolation: Pros and cons.
| Spline interpolation | |
| | |
| Pros | Able to capture both broad and detailed features |
| The tradeoff between goodness and roughness of fit can be adjusted through smoothing | |
| | |
| Cons | Overall smoothness may still be too high |
| Keep a tendency to oscillate | |
| No estimation of interpolation errors in most algorithms | |
| Potentially less efficient to compute than local interpolation algorithms | |
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