List of dotProduct() Examples

Examples of dotProduct()

cc.mallet.types.AugmentableFeatureVector.dotProduct()
cc.mallet.types.FeatureVector.dotProduct()
cc.mallet.types.HashedSparseVector.dotProduct()
cc.mallet.types.IndexedSparseVector.dotProduct()
cc.mallet.types.SparseVector.dotProduct()
VECTOR OPERATIONS
edu.stanford.nlp.sempre.FeatureVector.dotProduct()
gov.sandia.cognition.math.matrix.Vector.dotProduct()
mikera.vectorz.AVector.dotProduct()
Returns the dot product of this vector with another vector The vectors must have the same length: if not the result is undefined @param v @return
mikera.vectorz.Vector3.dotProduct()
net.minecraft.src.Vec3D.dotProduct()
net.wigis.graph.dnv.utilities.Vector2D.dotProduct()
Dot product. @param scalar the scalar @return the vector2 d
net.wigis.graph.dnv.utilities.Vector3D.dotProduct()
Dot product. @param scalar the scalar @return the vector3 d
org.apache.commons.math.linear.RealVector.dotProduct()
Compute the dot product. @param v vector with which dot product should be computed @return the scalar dot product between instance and v @throws org.apache.commons.math.exception.DimensionMismatchException if {@code v} is not the same size as this vector.
org.apache.commons.math3.linear.ArrayRealVector.dotProduct()
{@inheritDoc}
org.apache.commons.math3.linear.RealVector.dotProduct()
Compute the dot product of this vector with {@code v}. @param v Vector with which dot product should be computed @return the scalar dot product between this instance and {@code v}. @throws DimensionMismatchException if {@code v} is not the same size as{@code this} vector.
org.fnlp.ml.types.sv.ISparseVector.dotProduct()
点积 @param vector @return
org.jquantlib.math.matrixutilities.Array.dotProduct()
weka.core.pmml.VectorInstance.dotProduct()
Computes the dot product between this vector instance and the argument @param other the vector instance to perform the dot product with @return the dot product of this and the supplied vector instance @throws Exception if something goes wrong

Examples of org.fnlp.ml.types.sv.ISparseVector.dotProduct()

      oracle = new Predict<Integer>(n);
    }


    for (int i = 0; i < ysize; i++) {
      ISparseVector fv = generator.getVector(inst, i);
      float score = fv.dotProduct(weights);
      if (target != null && target == i)
        oracle.add(i,score);
      else
        pred.add(i,score);
    }

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Examples of org.jquantlib.math.matrixutilities.Array.dotProduct()

            x_ = lineSearch_.lastX();
            // New function value
            P.setFunctionValue(lineSearch_.lastFunctionValue());
            // New gradient and search direction vectors
            gdiff = gold.sub(lineSearch_.lastGradient());
            normdiff = Math.sqrt(gdiff.dotProduct(gdiff));
            gold = lineSearch_.lastGradient();
            lineSearch_.setSearchDirection(gold.mul(-1));
            // New gradient squared norm
            P.setGradientNormValue(lineSearch_.lastGradientNormNorm2());

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Examples of org.jquantlib.math.matrixutilities.Array.dotProduct()

        // compute its values
        lsp_.targetAndValue(x, target, fct2fit);
        // do the difference
        final Array diff = target.sub(fct2fit);
        // and compute the scalar product (square of the norm)
        return diff.dotProduct(diff);
    }


    @Override
    public void gradient(final Array grad_f, final Array x) {
        // size of target and function to fit vectors

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Examples of org.jquantlib.math.matrixutilities.Array.dotProduct()

        final Array diff = target.sub(fct2fit);
        // compute derivative
        // FIXME: transpost implementation ?!!!!!!!!!!!!!!
        // grad_f = -2.0*(transpose(grad_fct2fit)*diff);
        // and compute the scalar product (square of the norm)
        return diff.dotProduct(diff);
    }


    @Override
    public Array values(final Array x) {
        throw new UnsupportedOperationException("Work in progress");

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Examples of org.jquantlib.math.matrixutilities.Array.dotProduct()

        }
    center.mulAssign(1.0 / vertices.size());
    double result = 0;
    for (int i = 0; i < vertices.size(); ++i) {
      final Array temp = vertices.get(i).sub(center);
      result += Math.sqrt(temp.dotProduct(temp));
    }
    return result / vertices.size();
  }


  public double extrapolate(final Problem P, final int iHighest, double factor) {

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Examples of weka.core.pmml.VectorInstance.dotProduct()

     * @throws Exception if something goes wrong
     */
    public double evaluate(VectorInstance x, VectorInstance y)
    throws Exception {
      VectorInstance diff = x.subtract(y);
      double result = -m_gamma * diff.dotProduct(diff);


      return Math.exp(result);    
    }


    /**

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