executeInSequence(tasks); long seriesStop = System.currentTimeMillis();
executeInSequence(tasks); long seriesStop = System.currentTimeMillis();
executeInSequence(tasks); long seriesStop = System.currentTimeMillis();
@Override public void sampleInto( final Random random, final int sampleCount, final Collection<? super Double> output) { ArrayList<SampleRange> tasks = new ArrayList<SampleRange>(sampleCount); SmoothUnivariateDistribution t; if( this.getDegreesOfFreedom() < 30.0 ) { t = new StudentTDistribution(this.getDegreesOfFreedom()); } else { t = new UnivariateGaussian(); } for( int n = 0; n < sampleCount; n++ ) { tasks.add( new SampleRange(random, this.getTreatmentCount(), t) ); } try { output.addAll(ParallelUtil.executeInSequence(tasks)); } catch (Exception ex) { throw new RuntimeException( ex ); } }
@Override public void sampleInto( final Random random, final int sampleCount, final Collection<? super Double> output) { ArrayList<SampleRange> tasks = new ArrayList<SampleRange>(sampleCount); SmoothUnivariateDistribution t; if( this.getDegreesOfFreedom() < 30.0 ) { t = new StudentTDistribution(this.getDegreesOfFreedom()); } else { t = new UnivariateGaussian(); } for( int n = 0; n < sampleCount; n++ ) { tasks.add( new SampleRange(random, this.getTreatmentCount(), t) ); } try { output.addAll(ParallelUtil.executeInSequence(tasks)); } catch (Exception ex) { throw new RuntimeException( ex ); } }
@Override public void sampleInto( final Random random, final int sampleCount, final Collection<? super Double> output) { ArrayList<SampleRange> tasks = new ArrayList<SampleRange>(sampleCount); SmoothUnivariateDistribution t; if( this.getDegreesOfFreedom() < 30.0 ) { t = new StudentTDistribution(this.getDegreesOfFreedom()); } else { t = new UnivariateGaussian(); } for( int n = 0; n < sampleCount; n++ ) { tasks.add( new SampleRange(random, this.getTreatmentCount(), t) ); } try { output.addAll(ParallelUtil.executeInSequence(tasks)); } catch (Exception ex) { throw new RuntimeException( ex ); } }