Package org.apache.commons.math3.exception

Examples of org.apache.commons.math3.exception.NotStrictlyPositiveException

656
657
658
659
660
661
662
663
664
665
666
        if (k > len) {
            throw new NumberIsTooLargeException(LocalizedFormats.SAMPLE_SIZE_EXCEEDS_COLLECTION_SIZE,
                                                k, len, true);
        }
        if (k <= 0) {
            throw new NotStrictlyPositiveException(LocalizedFormats.NUMBER_OF_SAMPLES, k);
        }

        Object[] objects = c.toArray();
        int[] index = nextPermutation(len, k);
        Object[] result = new Object[k];
View Full Code Here
69
70
71
72
73
74
75
76
77
78
79
     */
    public GumbelDistribution(RandomGenerator rng, double mu, double beta) {
        super(rng);

        if (beta <= 0) {
            throw new NotStrictlyPositiveException(LocalizedFormats.SCALE, beta);
        }

        this.beta = beta;
        this.mu = mu;
    }
View Full Code Here
198
199
200
201
202
203
204
205
206
207
208
     * The default implementation generates the sample by calling
     * {@link #sample()} in a loop.
     */
    public int[] sample(int sampleSize) {
        if (sampleSize <= 0) {
            throw new NotStrictlyPositiveException(
                    LocalizedFormats.NUMBER_OF_SAMPLES, sampleSize);
        }
        int[] out = new int[sampleSize];
        for (int i = 0; i < sampleSize; i++) {
            out[i] = sample();
View Full Code Here
143
144
145
146
147
148
149
150
151
152
153
                                 double inverseCumAccuracy)
        throws NotStrictlyPositiveException {
        super(rng);

        if (shape <= 0) {
            throw new NotStrictlyPositiveException(LocalizedFormats.SHAPE, shape);
        }

        this.scale = scale;
        this.shape = shape;
        this.logShapePlusHalfLog2Pi = FastMath.log(shape) + 0.5 * FastMath.log(2 * FastMath.PI);
 
View Full Code Here
86
87
88
89
90
91
92
93
94
95
96
    public MultivariateNormalMixtureExpectationMaximization(double[][] data)
        throws NotStrictlyPositiveException,
               DimensionMismatchException,
               NumberIsTooSmallException {
        if (data.length < 1) {
            throw new NotStrictlyPositiveException(data.length);
        }

        this.data = new double[data.length][data[0].length];

        for (int i = 0; i < data.length; i++) {
View Full Code Here
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
                    final double threshold)
            throws SingularMatrixException,
                   NotStrictlyPositiveException,
                   DimensionMismatchException {
        if (maxIterations < 1) {
            throw new NotStrictlyPositiveException(maxIterations);
        }

        if (threshold < Double.MIN_VALUE) {
            throw new NotStrictlyPositiveException(threshold);
        }

        final int n = data.length;

        // Number of data columns. Jagged data already rejected in constructor,
View Full Code Here
302
303
304
305
306
307
308
309
310
311
312
    public static MixtureMultivariateNormalDistribution estimate(final double[][] data,
                                                                 final int numComponents)
        throws NotStrictlyPositiveException,
               DimensionMismatchException {
        if (data.length < 2) {
            throw new NotStrictlyPositiveException(data.length);
        }
        if (numComponents < 2) {
            throw new NumberIsTooSmallException(numComponents, 2, true);
        }
        if (numComponents > data.length) {
View Full Code Here
61
62
63
64
65
66
67
68
69
70
71
     */
    public LaplaceDistribution(RandomGenerator rng, double mu, double beta) {
        super(rng);

        if (beta <= 0.0) {
            throw new NotStrictlyPositiveException(LocalizedFormats.NOT_POSITIVE_SCALE, beta);
        }

        this.mu = mu;
        this.beta = beta;
    }
View Full Code Here
154
155
156
157
158
159
160
161
162
163
164
     * @throws NumberIsTooLargeException if {@code numberOfSuccesses > numberOfTrials}.
     * @throws OutOfRangeException if {@code confidenceLevel} is not in the interval {@code (0, 1)}.
     */
    static void checkParameters(int numberOfTrials, int numberOfSuccesses, double confidenceLevel) {
        if (numberOfTrials <= 0) {
            throw new NotStrictlyPositiveException(LocalizedFormats.NUMBER_OF_TRIALS, numberOfTrials);
        }
        if (numberOfSuccesses < 0) {
            throw new NotPositiveException(LocalizedFormats.NEGATIVE_NUMBER_OF_SUCCESSES, numberOfSuccesses);
        }
        if (numberOfSuccesses > numberOfTrials) {
View Full Code Here
149
150
151
152
153
154
155
                bits = next(31);
                val = bits % n;
            } while (bits - val + (n - 1) < 0);
            return val;
        }
        throw new NotStrictlyPositiveException(n);
    }
View Full Code Here
TOP

Related Classes of org.apache.commons.math3.exception.NotStrictlyPositiveException

  • org.apache.commons.math3.analysis.function.Gaussian
  • org.apache.commons.math3.analysis.function.Gaussian$Parametric
  • org.apache.commons.math3.analysis.function.Logistic
  • org.apache.commons.math3.analysis.function.Logistic$Parametric
  • org.apache.commons.math3.analysis.function.Sin
  • org.apache.commons.math3.analysis.function.Sinc
  • org.apache.commons.math3.analysis.FunctionUtils
  • org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
  • org.apache.commons.math3.analysis.integration.gauss.BaseRuleFactory
  • org.apache.commons.math3.analysis.integration.IterativeLegendreGaussIntegrator
    • Copyright © 2018 www.massapicom. All rights reserved.
    All source code are property of their respective owners. Java is a trademark of Sun Microsystems, Inc and owned by ORACLE Inc. Contact coftware#gmail.com.