List of usage examples for org.apache.commons.math3.fraction BigFraction add
public BigFraction add(final BigFraction fraction)
Adds the value of this fraction to another, returning the result in reduced form.
From source file:controller.VisLP.java
/** * Dictionary form assumes all x-values >= 0. For a geometric * representation we need these constraints explicitly stated * in order to draw the feasible region. * /*w ww. j a v a2s .co m*/ * This method adds the constraints x >= 0 (-x <= 0) * and y >= 0 (-y <= 0) unless more bounding constraints * on the x and y-values already exists. * * It also always adds a line with a negative slope with * a <<high enough>> positive x- and y-intercept needed * to color unbounded feasible regions. * * @param cons * A constraints-matrix * @return * A constraints matrix guaranteed to have lower bounds. */ static FieldMatrix<BigFraction> checkForBounds(FieldMatrix<BigFraction> cons) { boolean lowerx = false; boolean lowery = false; BigFraction valsum = BigFraction.ZERO; /* Does lower bounds already exist? */ for (int i = 0; i < cons.getRowDimension(); i++) { BigFraction x = cons.getEntry(i, 0); BigFraction y = cons.getEntry(i, 1); if (x.compareTo(BigFraction.ZERO) < 0 && y.equals(BigFraction.ZERO)) { lowerx = true; } else if (x.equals(BigFraction.ZERO) && y.compareTo(BigFraction.ZERO) < 0) { lowery = true; } valsum = valsum.add(cons.getEntry(i, 2).abs()); } FieldMatrix<BigFraction> ncons = cons.copy(); BigFraction[] cxdata = new BigFraction[] { BigFraction.MINUS_ONE, BigFraction.ZERO, BigFraction.ZERO }; BigFraction[] cydata = new BigFraction[] { BigFraction.ZERO, BigFraction.MINUS_ONE, BigFraction.ZERO }; /* Add lower bounds if they do not exist */ if (!lowerx) { FieldMatrix<BigFraction> c = new Array2DRowFieldMatrix<BigFraction>(cxdata).transpose(); ncons = LP.addBlock(ncons, c, LP.UNDER); } if (!lowery) { FieldMatrix<BigFraction> c = new Array2DRowFieldMatrix<BigFraction>(cydata).transpose(); ncons = LP.addBlock(ncons, c, LP.UNDER); } valsum = valsum.add(BigFraction.TWO).multiply(valsum); BigFraction[] uc = new BigFraction[] { BigFraction.ONE, BigFraction.ONE, valsum }; FieldMatrix<BigFraction> c = new Array2DRowFieldMatrix<BigFraction>(uc).transpose(); ncons = LP.addBlock(ncons, c, LP.UNDER); return ncons; }
From source file:cc.redberry.core.number.Rational.java
@Override public Rational add(BigFraction fraction) { NumberUtils.checkNotNull(fraction); return new Rational(fraction.add(fraction)); }
From source file:model.LP.java
/** * Return the objective value of the current dictionary. * * @return/*w ww. j ava 2 s . c o m*/ * the objective value. */ public BigFraction objVal() { BigFraction sum = BigFraction.ZERO; for (int i = 0; i < Bi.length; i++) { int j = Bi[i]; if (j < c.getDimension()) { sum = sum.add(c.getEntry(j).multiply(b_.getEntry(i))); } } return sum; }
From source file:sadl.models.PDFA.java
protected boolean fixProbability(int state) { List<Transition> outgoingTransitions = getOutTransitions(state, true); final double sum = outgoingTransitions.stream().mapToDouble(t -> t.getProbability()).sum(); // divide every probability by the sum of probabilities s.t. they sum up to 1 if (!Precision.equals(sum, 1)) { logger.debug("Sum of transition probabilities for state {} is {}", state, sum); outgoingTransitions = getOutTransitions(state, true); outgoingTransitions.forEach(t -> changeTransitionProbability(t, t.getProbability() / sum)); outgoingTransitions = getOutTransitions(state, true); final double newSum = outgoingTransitions.stream().mapToDouble(t -> t.getProbability()).sum(); logger.debug("Corrected sum of transition probabilities is {}", newSum); if (!Precision.equals(newSum, 1.0)) { logger.debug("Probabilities do not sum up to one, so doing it again with the Fraction class"); final List<BigFraction> probabilities = new ArrayList<>(outgoingTransitions.size()); for (int i = 0; i < outgoingTransitions.size(); i++) { probabilities.add(i, new BigFraction(outgoingTransitions.get(i).getProbability())); }/*w w w . ja v a 2s. c om*/ BigFraction fracSum = BigFraction.ZERO; for (final BigFraction f : probabilities) { try { fracSum = fracSum.add(f); } catch (final MathArithmeticException e) { logger.error("Arithmetic Exception for fracSum={}, FractionToAdd={}", fracSum, f, e); throw e; } } for (int i = 0; i < outgoingTransitions.size(); i++) { changeTransitionProbability(outgoingTransitions.get(i), probabilities.get(i).divide(fracSum).doubleValue()); // outgoingTransitions.get(i).setProbability(probabilities.get(i).divide(fracSum).doubleValue()); } final double tempSum = getOutTransitions(state, true).stream().mapToDouble(t -> t.getProbability()) .sum(); if (!Precision.equals(tempSum, 1.0)) { BigFraction preciseSum = BigFraction.ZERO; for (final BigFraction f : probabilities) { preciseSum = preciseSum.add(f.divide(fracSum)); } if (!preciseSum.equals(BigFraction.ONE)) { throw new IllegalStateException( "Probabilities do not sum up to one, but instead to " + tempSum); } else { logger.warn( "Probabilities do not sum up to one, but instead to {}. This is due to double underflows, but they sum up to one if using BigFraction. This small error will be ignored.", tempSum); } } } } return true; }
From source file:sadl.models.PDTTAold.java
boolean fixProbability(int state) { List<Transition> outgoingTransitions = getTransitions(state, true); final double sum = outgoingTransitions.stream().mapToDouble(t -> t.getProbability()).sum(); // divide every probability by the sum of probabilities s.t. they sum up to 1 if (!Precision.equals(sum, 1)) { logger.debug("Sum of transition probabilities for state {} is {}", state, sum); outgoingTransitions = getTransitions(state, true); outgoingTransitions.forEach(t -> changeTransitionProbability(t, t.getProbability() / sum)); outgoingTransitions = getTransitions(state, true); final double newSum = outgoingTransitions.stream().mapToDouble(t -> t.getProbability()).sum(); logger.debug("Corrected sum of transition probabilities is {}", newSum); if (!Precision.equals(newSum, 1.0)) { logger.debug("Probabilities do not sum up to one, so doing it again with the Fraction class"); final List<BigFraction> probabilities = new ArrayList<>(outgoingTransitions.size()); for (int i = 0; i < outgoingTransitions.size(); i++) { probabilities.add(i, new BigFraction(outgoingTransitions.get(i).getProbability())); }/*www . ja v a2 s .c o m*/ BigFraction fracSum = BigFraction.ZERO; for (final BigFraction f : probabilities) { try { fracSum = fracSum.add(f); } catch (final MathArithmeticException e) { logger.error("Arithmetic Exception for fracSum={}, FractionToAdd={}", fracSum, f, e); throw e; } } for (int i = 0; i < outgoingTransitions.size(); i++) { changeTransitionProbability(outgoingTransitions.get(i), probabilities.get(i).divide(fracSum).doubleValue()); // outgoingTransitions.get(i).setProbability(probabilities.get(i).divide(fracSum).doubleValue()); } final double tempSum = getTransitions(state, true).stream().mapToDouble(t -> t.getProbability()) .sum(); if (!Precision.equals(tempSum, 1.0)) { throw new IllegalStateException( "Probabilities do not sum up to one, but instead to " + tempSum); } } } return true; }