Examples of Normal

cern.jet.random.Normal

ern.ch/RD11/rkb/AN16pp/node188.html#SECTION0001880000000000000000"> math definition and animated definition.

                        1                       2 pdf(x) = ---------    exp( - (x-mean) / 2v )  sqrt(2pi*v) x - 1        | |                 2 cdf(x) = ---------    |    exp( - (t-mean) / 2v ) dt sqrt(2pi*v)| | - -inf.

where v = variance = standardDeviation^2.

Instance methods operate on a user supplied uniform random number generator; they are unsynchronized.

Static methods operate on a default uniform random number generator; they are synchronized.

Implementation: Polar Box-Muller transformation. See G.E.P. Box, M.E. Muller (1958): A note on the generation of random normal deviates, Annals Math. Statist. 29, 610-611.

@author wolfgang.hoschek@cern.ch @version 1.0, 09/24/99

jpbrt.core.Normal

org.apache.mahout.math.jet.random.Normal

@deprecated until unit tests are in place. Until this time, this class/interface is unsupported.

org.apache.mahout.math.random.Normal

    return t1;
  }


  @Test
  public void testDotCorrelation() {
    final Normal gen = new Normal();


    Matrix projection = new DenseMatrix(64, 10);
    projection.assign(gen);


    Vector query = new DenseVector(10);

    int numDataVectors = 1000000;
    int numQueries = 100;
    int depth = 2000;


    Matrix data = new DenseMatrix(numDataVectors, dimension);
    data.assign(new Normal());


    Matrix queries = new DenseMatrix(numQueries, dimension);
    queries.assign(new Normal());


    Vector queryNorms = queries.aggregateRows(new VectorFunction() {
      @Override
      public double apply(Vector f) {
        return f.getLengthSquared();

public class LocalitySensitiveHashSearchTest {


  @Test
  public void testNormal() {
    Matrix testData = new DenseMatrix(100000, 10);
    final Normal gen = new Normal();
    testData.assign(gen);


    final EuclideanDistanceMeasure distance = new EuclideanDistanceMeasure();
    BruteSearch ref = new BruteSearch(distance);
    ref.addAllMatrixSlicesAsWeightedVectors(testData);

    return t1;
  }


  @Test
  public void testDotCorrelation() {
    final Normal gen = new Normal();


    Matrix projection = new DenseMatrix(64, 10);
    projection.assign(gen);


    Vector query = new DenseVector(10);

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Examples of Normal

Examples of org.apache.mahout.math.random.Normal

Examples of org.apache.mahout.math.random.Normal

Examples of org.apache.mahout.math.random.Normal

Examples of org.apache.mahout.math.random.Normal