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  /external/apache-commons-math/src/main/java/org/apache/commons/math/optimization/
LeastSquaresConverter.java 34 * reference observations. The observations may be obtained for example from
41 * (i.e. the output of the vectorial objective function) and the observations. The
63 /** Observations to be compared to objective function to compute residuals. */
64 private final double[] observations; field in class:LeastSquaresConverter
74 * @param observations observations to be compared to objective function to compute residuals
77 final double[] observations) {
79 this.observations = observations.clone()
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  /external/apache-commons-math/src/main/java/org/apache/commons/math/optimization/fitting/
HarmonicCoefficientsGuesser.java 129 /** Sampled observations. */
130 private final WeightedObservedPoint[] observations; field in class:HarmonicCoefficientsGuesser
142 * @param observations sampled observations
144 public HarmonicCoefficientsGuesser(WeightedObservedPoint[] observations) {
145 this.observations = observations.clone();
161 /** Sort the observations with respect to the abscissa.
168 WeightedObservedPoint curr = observations[0];
169 for (int j = 1; j < observations.length; ++j)
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CurveFitter.java 49 private final List<WeightedObservedPoint> observations; field in class:CurveFitter
56 observations = new ArrayList<WeightedObservedPoint>();
83 observations.add(new WeightedObservedPoint(weight, x, y));
93 observations.add(observed);
103 return observations.toArray(new WeightedObservedPoint[observations.size()]);
107 * Remove all observations.
110 observations.clear();
130 double[] target = new double[observations.size()];
131 double[] weights = new double[observations.size()]
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GaussianFitter.java 107 * instance initialized with the specified observations.
109 * @param observations points used to initialize the created
114 protected GaussianParametersGuesser createParametersGuesser(WeightedObservedPoint[] observations) {
115 return new GaussianParametersGuesser(observations);
HarmonicFitter.java 83 final WeightedObservedPoint[] observations = fitter.getObservations(); local
84 if (observations.length < 4) {
86 observations.length, 4);
89 HarmonicCoefficientsGuesser guesser = new HarmonicCoefficientsGuesser(observations);
GaussianParametersGuesser.java 40 private final WeightedObservedPoint[] observations; field in class:GaussianParametersGuesser
48 * @param observations observed points upon which should base guess
50 public GaussianParametersGuesser(WeightedObservedPoint[] observations) {
51 if (observations == null) {
54 if (observations.length < 3) {
55 throw new NumberIsTooSmallException(observations.length, 3, true);
57 this.observations = observations.clone();
67 parameters = basicGuess(observations);
  /prebuilts/go/darwin-x86/src/runtime/
chan.go 155 // not ready for sending. Each of these observations is a single word-sized read
158 // 'not ready for sending', even if the channel is closed between the two observations,
429 // channel is not closed. Each of these observations is a single word-sized read
  /prebuilts/go/linux-x86/src/runtime/
chan.go 155 // not ready for sending. Each of these observations is a single word-sized read
158 // 'not ready for sending', even if the channel is closed between the two observations,
429 // channel is not closed. Each of these observations is a single word-sized read
  /cts/apps/CtsVerifier/libs/
opencv3-android.jar 

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