Examples with Polynomial com.sri.ai.grinder.polynomial.api.Polynomial used on opensource projects

Example 31 with Polynomial

use of com.sri.ai.grinder.polynomial.api.Polynomial in project aic-expresso by aic-sri-international.

the class PolynomialSummation method sum.

/**
 * Compute the sum for the summation of a polynomial.
 *
 * @param indexOfSummation
 *        the index variable of the summation.
 * @param lowerBoundExclusive
 *        the lower bound of the summation.
 * @param upperBoundInclusive
 *        the upper bound of the summation.
 * @param summand
 *        the polynomial to be summed.
 * @return the sum of the given summation.
 */
public static Polynomial sum(Expression indexOfSummation, Expression lowerBoundExclusive, Expression upperBoundInclusive, Polynomial summand) {
    Polynomial result;
    List<Expression> indexVariable = Arrays.asList(indexOfSummation);
    Polynomial summandAsPolynomialOfIndex = DefaultPolynomial.make(summand, indexVariable);
    int n = summandAsPolynomialOfIndex.degree();
    // 
    // collect the t coefficients
    List<Expression> tCoefficients = new ArrayList<>(n);
    for (int i = 0; i <= n; i++) {
        tCoefficients.add(Expressions.ZERO);
    }
    for (int i = 0; i < summandAsPolynomialOfIndex.numberOfTerms(); i++) {
        Monomial term = summandAsPolynomialOfIndex.getMonomials().get(i);
        tCoefficients.set(term.getPowerOfFactor(indexOfSummation).intValue(), term.getCoefficient(indexVariable));
    }
    // 
    // compute polynomials R_i(x) = (x + l)^i for each i
    Expression indexOfSummationPlusLowerBound = new DefaultFunctionApplication(PLUS_FUNCTOR, Arrays.asList(indexOfSummation, lowerBoundExclusive));
    Polynomial indexOfSummationPlusLowerBoundPolynomial = DefaultPolynomial.make(indexOfSummationPlusLowerBound, indexVariable);
    List<Polynomial> rPolynomials = new ArrayList<>(n);
    rPolynomials.add(DefaultPolynomial.make(Expressions.ONE, indexVariable));
    rPolynomials.add(indexOfSummationPlusLowerBoundPolynomial);
    for (int i = 2; i <= n; i++) {
        rPolynomials.add(rPolynomials.get(i - 1).times(indexOfSummationPlusLowerBoundPolynomial));
    }
    Map<Pair<Integer, Integer>, Expression> indexedRCoefficient = new LinkedHashMap<>();
    for (int i = 0; i <= n; i++) {
        Polynomial rPolynomial = rPolynomials.get(i);
        for (int q = 0; q <= i; q++) {
            Pair<Integer, Integer> indexKey = new Pair<>(i, q);
            Monomial rqxq = rPolynomial.getMapFromSignatureToMonomial().get(Arrays.asList(new Rational(q)));
            if (rqxq == null) {
                indexedRCoefficient.put(indexKey, Expressions.ZERO);
            } else {
                indexedRCoefficient.put(indexKey, rqxq.getCoefficient(indexVariable));
            }
        }
    }
    // 
    // compute "constants" (may contain variables other than x)
    // s_i,q,j =   t_i*R_{i,q}/(q+1) (-1)^j choose(q+1,j) B_j
    // where R_{i,q}(x) is the coefficient in R_i(x) multiplying x^q.
    Map<Triple<Integer, Integer, Integer>, Polynomial> sConstants = new LinkedHashMap<>();
    for (int i = 0; i <= n; i++) {
        Expression ti = tCoefficients.get(i);
        for (int q = 0; q <= i; q++) {
            Expression riq = indexedRCoefficient.get(new Pair<>(i, q));
            Expression tiByriq = new DefaultFunctionApplication(TIMES_FUNCTOR, Arrays.asList(ti, riq));
            for (int j = 0; j <= q; j++) {
                Triple<Integer, Integer, Integer> indexKey = new Triple<>(i, q, j);
                Expression qPlus1 = Expressions.makeSymbol(q + 1);
                Expression minus1PowerJ = Expressions.makeSymbol(j % 2 == 0 ? 1 : -1);
                Expression chooseQplus1J = Expressions.makeSymbol(Util.binomialCoefficient(q + 1, j));
                Expression bernoulliJ = Expressions.makeSymbol(BernoulliNumber.computeFirst(j));
                Expression sConstant = new DefaultFunctionApplication(TIMES_FUNCTOR, Arrays.asList(new DefaultFunctionApplication(DIVISION_FUNCTOR, Arrays.asList(tiByriq, qPlus1)), minus1PowerJ, chooseQplus1J, bernoulliJ));
                sConstants.put(indexKey, DefaultPolynomial.make(sConstant, indexVariable));
            }
        }
    }
    // 
    // compute polynomials, for each q, j,   V_{q + 1 -j}  = (u - l)^{q + 1 - j}
    Expression upperBoundMinusLowerBound = new DefaultFunctionApplication(MINUS_FUNCTOR, Arrays.asList(upperBoundInclusive, lowerBoundExclusive));
    Polynomial upperBoundMinusLowerBoundPolynomial = DefaultPolynomial.make(upperBoundMinusLowerBound, indexVariable);
    Map<Integer, Polynomial> vValues = new LinkedHashMap<>();
    for (int q = 0; q <= n; q++) {
        for (int j = 0; j <= q; j++) {
            Integer exponent = q + 1 - j;
            if (!vValues.containsKey(exponent)) {
                vValues.put(exponent, upperBoundMinusLowerBoundPolynomial.exponentiate(exponent));
            }
        }
    }
    // 
    // Compute the w values and construct the final result.
    Polynomial ws = DefaultPolynomial.make(Expressions.ZERO, indexVariable);
    for (int i = 0; i <= n; i++) {
        for (int q = 0; q <= i; q++) {
            for (int j = 0; j <= q; j++) {
                Triple<Integer, Integer, Integer> sConstantKey = new Triple<>(i, q, j);
                Integer valueKey = q + 1 - j;
                Polynomial sConstant = sConstants.get(sConstantKey);
                Polynomial vValue = vValues.get(valueKey);
                Polynomial w = sConstant.times(vValue);
                ws = ws.add(w);
            }
        }
    }
    List<Expression> generalizedVariables = DefaultPolynomial.extractGeneralizedVariables(ws);
    if (generalizedVariables.size() > 0) {
        // Simplify in the context of the contained generalized variables
        // and then return as a single constant factor (i.e. the index variable should not be present).
        ws = DefaultPolynomial.make(ws, generalizedVariables);
    }
    result = DefaultPolynomial.make(ws, indexVariable);
    return result;
}

Example 32 with Polynomial

use of com.sri.ai.grinder.polynomial.api.Polynomial in project aic-expresso by aic-sri-international.

the class LinearRealArithmeticTheory method applicationOfAtomFunctorIsIndeedAtom.

@Override
public boolean applicationOfAtomFunctorIsIndeedAtom(Expression applicationOfAtomFunctor, Context context) {
    boolean result;
    try {
        Expression leftHandSideMinusRightHandSide = BinaryMinus.make(applicationOfAtomFunctor.get(0), applicationOfAtomFunctor.get(1));
        Polynomial polynomial = DefaultPolynomial.make(leftHandSideMinusRightHandSide);
        result = forAll(polynomial.getMonomials(), isLinearRealArithmeticTerm(context));
    } catch (IllegalArgumentException exception) {
        // leftHandSideMinusRightHandSide is not polynomial
        result = false;
    }
    return result;
}