GET OPTIMUM DIG POINTS¶
Evaluates a set of candidate digitisation-point counts against one or more curves and returns the single count that maximises fidelity (maximum criterion). Use this worker when you need to determine the optimal number of dig points to represent a curve with the least loss of information.
When to use¶
Classification: process.
Tagged: curve_optimization, curve_sampling, dig_points, digitisation, max_criterion.
Inputs¶
| Label | ID | Type | Default | Required | Description |
|---|---|---|---|---|---|
| Curve | curves | vector | — | ✓ | One or more input curves (x/y pairs) to evaluate candidate dig-point counts against; supply at least one curve in d3VIEW vector/curve format. |
| Dig Points evaluate | points | text | 1,10,100 | ✓ | Comma-separated list of integer dig-point counts to evaluate (e.g. ‘1,10,100’); each value is tested and the one yielding the maximum fidelity is selected — defaults to ‘1,10,100’. |
Outputs¶
| Label | ID | Type | Description |
|---|---|---|---|
| Optimum Point | optimum_point | scalar | The single integer dig-point count from the candidate list that maximises curve fidelity under the maximum criterion. |
Disciplines¶
- data.curve.pair
- data.curve.transform
Runnable example¶
A runnable example is registered for this worker. Open the example workflow on the d3VIEW canvas: /api/workflow/example?id=curves_get_optimum_dig_points_max
Auto-generated from transformation schema. Worker id: curves_get_optimum_dig_points_max. Schema hash: b2b924838a55. Hand-curated docs in workerexamples/ override this page when present.