List of times() Examples

Examples of times()

DSP.filter.iir.Complex.times()
Multiplies this Complex number by another Complex number. Does not alter the value of this Complex object. @param c The other Complex factor. @return New Complex object containing the product.
Hexel.math.Vector3d.times()
Jama.Matrix.times()
Multiply a matrix by a scalar, C = s*A @param s scalar @return s*A
ai.domain.interval.IntervalExpressionSemantics.times()
aspect.util.Complex.times()
aspect.util.Vector3.times()
Get a Vector3 whose components are equal to this Vector3's components multiplied by the given value. @param f the multiplier @return the multiplied Vector3
ca.eandb.jmist.framework.color.Color.times()
Multiplies this color by another.
ca.eandb.jmist.math.AffineMatrix2.times()
Computes the product of this matrix with another. @param other The matrix by which to multiply this matrix. @return The product of this matrix and other.
ca.eandb.jmist.math.LinearMatrix3.times()
Computes the product of this matrix with another. @param other The matrix by which to multiply this matrix. @return The product of this matrix and other.
ca.eandb.jmist.math.Vector3.times()
Computes this vector scaled by a constant factor. @param c The factor to scale this vector by. @return This vector scaled by c.
com.eclipsesource.restfuse.annotation.Poll.times()
com.github.restdriver.clientdriver.ClientDriverExpectation.times()
Indicate that this expectation should be matched a given number of times. @param times The number of times this expectation should be matched
com.google.caliper.util.ShortDuration.times()
Returns an instance of this type that represents the product of this value and the integral value {@code multiplicand}.
com.mockturtlesolutions.snifflib.datatypes.DblMatrix.times()
com.opengamma.timeseries.date.localdate.LocalDateDoubleTimeSeries.times()
de.lmu.ifi.dbs.elki.distance.distancevalue.DoubleDistance.times()
Returns a new distance as the product of this distance and the given distance. @param distance the distance to be multiplied with this distance @return a new distance as the product of this distance and the givendistance
de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix.times()
Multiply a matrix by a scalar, C = s*A @param s scalar @return s*A
de.lmu.ifi.dbs.elki.math.linearalgebra.Vector.times()
Returns a new vector which is the result of this vector multiplied by the specified scalar. @param s the scalar to be multiplied @return the resulting vector
edu.cmu.sphinx.fst.semiring.Semiring.times()
Semiring's times operation
edu.gmu.seor.prognos.unbbayesplugin.cps.Jama.Matrix.times()
Linear algebraic matrix multiplication, A * B @param B another matrix @return Matrix product, A * B @exception IllegalArgumentException Matrix inner dimensions must agree.
flanagan.analysis.ErrorProp.times()
flanagan.circuits.Phasor.times()
flanagan.complex.Complex.times()
flanagan.complex.ComplexPoly.times()
gov.sandia.cognition.math.matrix.Matrix.times()
net.br410bury.graphics.GraphicsMatrix.times()
Multiplies the supplied point by the current transformation matrix and returns the result. @param point The point to transform. @return The transformed point.
org.apache.mahout.math.DenseMatrix.times()
org.apache.mahout.math.DenseVector.times()
org.apache.mahout.math.Matrix.times()
Return a new matrix containing the product of each value of the recipient and the argument @param x a double argument @return a new Matrix
org.apache.mahout.math.Vector.times()
Return a new matrix containing the product of each value of the recipient and the argument @param x a double argument @return a new Vector
org.apache.mahout.math.VectorIterable.times()
Return a new vector with cardinality equal to getNumRows() of this matrix which is the matrix product of the recipient and the argument @param v a vector with cardinality equal to getNumCols() of the recipient @return a new vector (typically a DenseVector) @throws CardinalityException if this.getNumRows() != v.size()
org.apache.mahout.math.hadoop.DistributedRowMatrix.times()
org.apache.mahout.matrix.Vector.times()
Return a new matrix containing the product of each value of the recipient and the argument @param x a double argument @return a new Vector
org.easetech.easytest.annotation.Repeat.times()
org.encog.ml.data.basic.BasicMLData.times()
Multiply one data element with another. This does not modify the object. @param d The other data element @return The result.
org.fest.swing.core.MouseClickInfo.times()
@return how many times the {@link #button() mouse button} should be clicked.
org.jscience.mathematics.number.Complex.times()
org.jscience.mathematics.number.Float64.times()
org.jscience.mathematics.number.LargeInteger.times()
org.mule.munit.common.mocking.MunitVerifier.times()

The times it must be called
@param times
The times it must be called
weka.core.matrix.Matrix.times()
Multiply a matrix by a scalar, C = s*A @param s scalar @return s*A

Examples of org.apache.mahout.math.Vector.times()

      s1 = point.clone();
    } else {
      s1 = s1.plus(wtPt);
    }
    if (s2 == null) {
      s2 = wtPt.times(wtPt);
    } else {
      s2 = s2.plus(wtPt.times(wtPt));
    }
  }

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Examples of org.apache.mahout.math.Vector.times()

      s1 = s1.plus(wtPt);
    }
    if (s2 == null) {
      s2 = wtPt.times(wtPt);
    } else {
      s2 = s2.plus(wtPt.times(wtPt));
    }
  }
  
  /** Compute a "standard deviation" value to use as the "radius" of the cluster for display purposes */
  public double std() {

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Examples of org.apache.mahout.math.Vector.times()

  
  /** Compute a "standard deviation" value to use as the "radius" of the cluster for display purposes */
  public double std() {
    if (s0 > 0) {
      Vector radical = s2.times(s0).minus(s1.times(s1));
      radical = radical.times(radical).assign(new SquareRootFunction());
      Vector stds = radical.assign(new SquareRootFunction()).divide(s0);
      return stds.zSum() / stds.size();
    } else {
      return 0;
    }

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Examples of org.apache.mahout.math.Vector.times()

      mean = x.like();
      delta = x.clone();
    }
    mean = mean.plus(delta.divide(n));
    if (m2 != null) {
      m2 = m2.plus(delta.times(x.minus(mean)));
    } else {
      m2 = delta.times(x.minus(mean));
    }
    variance = m2.divide(n - 1);
  }

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Examples of org.apache.mahout.math.Vector.times()

    }
    mean = mean.plus(delta.divide(n));
    if (m2 != null) {
      m2 = m2.plus(delta.times(x.minus(mean)));
    } else {
      m2 = delta.times(x.minus(mean));
    }
    variance = m2.divide(n - 1);
  }


  @Override

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Examples of org.apache.mahout.math.Vector.times()

      blckCnt++;
      cnt = 0;
    }


    for (int i = 0; i < n; i++) {
      btEmitter.emitRow(i, qRowV.times(aRow.getQuick(i)));
    }


  }

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Examples of org.apache.mahout.math.Vector.times()


    for (Map.Entry<Integer, Vector> btRowEntry : btRows.entrySet()) {
      Vector btRow = btRowEntry.getValue();
      assert btRow.size() == kp;
      for (int i = 0; i < kp; i++) {
        bbtEmitter.emitRow(i, btRow.times(btRow.getQuick(i)));
      }
    }


    double[][] bbtValues = new double[kp][];
    for (int i = 0; i < kp; i++) {

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Examples of org.apache.mahout.math.Vector.times()


    for (Map.Entry<Integer, Vector> btRowEntry : btRows.entrySet()) {
      Vector btRow = btRowEntry.getValue();
      assert btRow.size() == kp;
      for (int i = 0; i < kp; i++) {
        bbtEmitter.emitRow(i, btRow.times(btRow.getQuick(i)));
      }
    }


    double[][] bbtValues = new double[kp][];
    for (int i = 0; i < kp; i++) {

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Examples of org.apache.mahout.math.Vector.times()

        int itemIDIndex = usedItemsIterator.next().index();
        numberOfSimilarItemsUsed.setQuick(itemIDIndex, numberOfSimilarItemsUsed.getQuick(itemIDIndex) + 1);
      }


      numerators = numerators == null
          ? prefValue == BOOLEAN_PREF_VALUE ? simColumn.clone() : simColumn.times(prefValue)
          : numerators.plus(prefValue == BOOLEAN_PREF_VALUE ? simColumn : simColumn.times(prefValue));


      simColumn.assign(ABSOLUTE_VALUES);
      denominators = denominators == null ? simColumn : denominators.plus(simColumn);
    }

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Examples of org.apache.mahout.math.Vector.times()

        numberOfSimilarItemsUsed.setQuick(itemIDIndex, numberOfSimilarItemsUsed.getQuick(itemIDIndex) + 1);
      }


      numerators = numerators == null
          ? prefValue == BOOLEAN_PREF_VALUE ? simColumn.clone() : simColumn.times(prefValue)
          : numerators.plus(prefValue == BOOLEAN_PREF_VALUE ? simColumn : simColumn.times(prefValue));


      simColumn.assign(ABSOLUTE_VALUES);
      denominators = denominators == null ? simColumn : denominators.plus(simColumn);
    }

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