Examples of org.apache.mahout.math.Matrix.plus()

org.apache.mahout.math.Matrix.plus()
Return a new matrix containing the sum of each value of the recipient and the argument @param x a double @return a new Matrix

    assertEquals(0, m.minus(a).aggregate(Functions.PLUS, Functions.ABS), 1.0e-10);
    print(m);


    assertEquals(0, m.transpose().times(m).minus(a.transpose().times(a)).aggregate(
        Functions.PLUS, Functions.ABS), 1.0e-10);
    assertEquals(0, m.plus(m).minus(a.plus(a)).aggregate(Functions.PLUS, Functions.ABS), 1.0e-10);
  }


  private static void print(Matrix m) {
    for (int i = 0; i < m.rowSize(); i++) {
      for (int j = 0; j < m.columnSize(); j++) {

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   *          existing matrices.
   */
  public void updateWeightMatrices(Matrix[] matrices) {
    for (int i = 0; i < matrices.length; ++i) {
      Matrix matrix = this.weightMatrixList.get(i);
      this.weightMatrixList.set(i, matrix.plus(matrices[i]));
    }
  }


  /**
   * Set the weight matrices.

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   *          existing matrices.
   */
  public void updateWeightMatrices(Matrix[] matrices) {
    for (int i = 0; i < matrices.length; ++i) {
      Matrix matrix = weightMatrixList.get(i);
      weightMatrixList.set(i, matrix.plus(matrices[i]));
    }
  }


  /**
   * Set the weight matrices.

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    }


    numIterations++;
    
    
    this.adjustedGradient = MatrixUtils.div(this.gradient,MatrixUtils.sqrt(gradientSquared.plus(fudgeFactor)));
        this.adjustedGradient = this.adjustedGradient.times(masterStepSize);
    //ensure no zeros
//    this.adjustedGradient.addi(1e-6);
    this.adjustedGradient = this.adjustedGradient.plus( 1e-6 );

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