Mercurial > dive4elements > river
comparison artifacts/src/main/java/org/dive4elements/river/utils/DoubleUtil.java @ 8587:07c9ac22f611
(issue1755) Generalise BedQuality result handling
The bedquality calculation now produces a result for each time period
which has BedQualityResultValues for each specific result type.
Formally this was split up in density, porosity and diameter classes
with some bedload diameter classes mixed in for extra fun.
The intent of this commit is to allow more shared code and generic
access patterns to the BedQuality results.
| author | Andre Heinecke <andre.heinecke@intevation.de> |
|---|---|
| date | Wed, 18 Mar 2015 18:42:08 +0100 |
| parents | 073ea4bcea58 |
| children | b486812f4f14 |
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| 8586:19fde13e2db4 | 8587:07c9ac22f611 |
|---|---|
| 314 } | 314 } |
| 315 | 315 |
| 316 /** Convieniance function for results to get an interpolator. | 316 /** Convieniance function for results to get an interpolator. |
| 317 * This is basically a static wrapper to for LinearInterpolator.interpolate | 317 * This is basically a static wrapper to for LinearInterpolator.interpolate |
| 318 * with error handling. Returns null on error.*/ | 318 * with error handling. Returns null on error.*/ |
| 319 public static PolynomialSplineFunction getLinearInterpolator(TDoubleArrayList x, TDoubleArrayList y) { | 319 public static PolynomialSplineFunction getLinearInterpolator(double[] x, double[] y) { |
| 320 LinearInterpolator lpol = new LinearInterpolator(); | 320 LinearInterpolator lpol = new LinearInterpolator(); |
| 321 try { | 321 try { |
| 322 return lpol.interpolate(x.toNativeArray(), y.toNativeArray()); | 322 return lpol.interpolate(x, y); |
| 323 } catch (DimensionMismatchException e) { | 323 } catch (DimensionMismatchException e) { |
| 324 log.error("KMs and Result values have different sizes. Failed to interpolate: " + | 324 log.error("KMs and Result values have different sizes. Failed to interpolate: " + |
| 325 e.getMessage()); | 325 e.getMessage()); |
| 326 } catch (NonMonotonousSequenceException e) { | 326 } catch (NonMonotonousSequenceException e) { |
| 327 log.error("KMs are not monotonous. Failed to interpolate: " + e.getMessage()); | 327 log.error("KMs are not monotonous. Failed to interpolate: " + e.getMessage()); |
| 328 } catch (NumberIsTooSmallException e) { | 328 } catch (NumberIsTooSmallException e) { |
| 329 log.error("Result is to small. Failed to interpolate: " + e.getMessage()); | 329 log.error("Result is to small. Failed to interpolate: " + e.getMessage()); |
| 330 } | 330 } |
| 331 return null; | 331 return null; |
| 332 } | 332 } |
| 333 | |
| 334 public static PolynomialSplineFunction getLinearInterpolator(TDoubleArrayList x, TDoubleArrayList y) { | |
| 335 return getLinearInterpolator(x.toNativeArray(), y.toNativeArray()); | |
| 336 } | |
| 333 } | 337 } |
| 334 // vim:set ts=4 sw=4 si et sta sts=4 fenc=utf8 : | 338 // vim:set ts=4 sw=4 si et sta sts=4 fenc=utf8 : |