Examples of de.lmu.ifi.dbs.elki.data.RationalNumber

de.lmu.ifi.dbs.elki.data.RationalNumber
RationalNumber represents rational numbers in arbitrary precision. Note that the best possible precision is the primary objective of this class. Since numerator and denominator of the RationalNumber are represented as BigIntegers, the required space can grow unlimited. Also arithmetic operations are considerably less efficient compared to the operations with doubles. @author Arthur Zimek

          firstCol = col;
        }
      }
      if(firstCol > -1) {
        for(int currentRow = row - 1; currentRow >= 0; currentRow--) {
          RationalNumber multiplier = gauss[currentRow][firstCol].copy();
          for(int col = firstCol; col < gauss[currentRow].length; col++) {
            RationalNumber subtrahent = gauss[row][col].times(multiplier);
            gauss[currentRow][col] = gauss[currentRow][col].minus(subtrahent);
          }
        }
      }
    }

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   */
  private final RationalNumber[][] exactGaussElimination() {
    final RationalNumber[][] gauss = new RationalNumber[elements.length][this.columndimension];
    for(int row = 0; row < elements.length; row++) {
      for(int col = 0; col < this.columndimension; col++) {
        gauss[row][col] = new RationalNumber(elements[row][col]);
      }
    }
    return exactGaussElimination(gauss);
  }

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        System.arraycopy(row, 0, gauss[0], 0, row.length);
      }


      // 3. create leading 1
      if(!gauss[0][firstCol].equals(RationalNumber.ONE)) {
        final RationalNumber inverse = gauss[0][firstCol].multiplicativeInverse();
        for(int col = 0; col < gauss[0].length; col++) {
          gauss[0][col] = gauss[0][col].times(inverse);
        }
      }


      // 4. eliminate values unequal to zero below leading 1
      for(int row = 1; row < gauss.length; row++) {
        final RationalNumber multiplier = gauss[row][firstCol].copy();
        // if(multiplier != 0.0)
        if(!multiplier.equals(RationalNumber.ZERO)) {
          for(int col = firstCol; col < gauss[row].length; col++) {
            final RationalNumber subtrahent = gauss[0][col].times(multiplier);
            gauss[row][col] = gauss[row][col].minus(subtrahent);
          }
        }
      }

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          firstCol = col;
        }
      }
      if(firstCol > -1) {
        for(int currentRow = row - 1; currentRow >= 0; currentRow--) {
          RationalNumber multiplier = gauss[currentRow][firstCol].copy();
          for(int col = firstCol; col < gauss[currentRow].length; col++) {
            RationalNumber subtrahent = gauss[row][col].times(multiplier);
            gauss[currentRow][col] = gauss[currentRow][col].minus(subtrahent);
          }
        }
      }
    }

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   */
  private final RationalNumber[][] exactGaussElimination() {
    final RationalNumber[][] gauss = new RationalNumber[elements.length][this.columndimension];
    for(int row = 0; row < elements.length; row++) {
      for(int col = 0; col < this.columndimension; col++) {
        gauss[row][col] = new RationalNumber(elements[row][col]);
      }
    }
    return exactGaussElimination(gauss);
  }

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        System.arraycopy(row, 0, gauss[0], 0, row.length);
      }


      // 3. create leading 1
      if(!gauss[0][firstCol].equals(RationalNumber.ONE)) {
        final RationalNumber inverse = gauss[0][firstCol].multiplicativeInverse();
        for(int col = 0; col < gauss[0].length; col++) {
          gauss[0][col] = gauss[0][col].times(inverse);
        }
      }


      // 4. eliminate values unequal to zero below leading 1
      for(int row = 1; row < gauss.length; row++) {
        final RationalNumber multiplier = gauss[row][firstCol].copy();
        // if(multiplier != 0.0)
        if(!multiplier.equals(RationalNumber.ZERO)) {
          for(int col = firstCol; col < gauss[row].length; col++) {
            final RationalNumber subtrahent = gauss[0][col].times(multiplier);
            gauss[row][col] = gauss[row][col].minus(subtrahent);
          }
        }
      }

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Related Classes of de.lmu.ifi.dbs.elki.data.RationalNumber

de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix

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