Package cc.redberry.core.number

Examples of cc.redberry.core.number.Complex

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    static Tensor power(Tensor argument, Tensor power) {
        //TODO improve Complex^Complex
        if (argument instanceof Complex && power instanceof Complex) {

            Complex a = (Complex) argument;
            Complex p = (Complex) power;
            Complex result = Exponentiation.exponentiateIfPossible(a, p);

            if (result != null)
                return result;
        }
        if (TensorUtils.isOne(power))
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        return tensor instanceof Complex && ((Complex) tensor).isNegativeInteger();
    }

    public static boolean isRealPositiveNumber(Tensor tensor) {
        if (tensor instanceof Complex) {
            Complex complex = (Complex) tensor;
            return complex.isReal() && complex.getReal().signum() > 0;
        }
        return false;
    }
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        return false;
    }

    public static boolean isRealNegativeNumber(Tensor tensor) {
        if (tensor instanceof Complex) {
            Complex complex = (Complex) tensor;
            return complex.isReal() && complex.getReal().signum() < 0;
        }
        return false;
    }
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        //d^a_a = numberOfIndices
        substitutions[1] = expression(createKronecker(
                setType(typeOfLeviCivitaIndices, 0),
                setType(typeOfLeviCivitaIndices, 0x80000000)),
                new Complex(numberOfIndices));

        return substitutions;
    }
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        Tensors.addSymmetry("R_lm", IndexType.LatinLower, false, new int[]{1, 0});
        Tensors.addSymmetry("R_lmab", IndexType.LatinLower, true, new int[]{0, 1, 3, 2});
        Tensors.addSymmetry("R_lmab", IndexType.LatinLower, false, new int[]{2, 3, 0, 1});


        this.L = Tensors.expression(Tensors.parse("L"), new Complex(operatorOrder));
        this.hatQuantities = new Expression[HAT_QUANTITIES_GENERAL_COUNT][];
        this.matrixIndicesCount = inputValues[1].get(0).getIndices().size() - operatorOrder;

        //all are upper
        int[] covariantIndices = new int[operatorOrder];
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        return tensor instanceof Complex && ((Complex) tensor).isPositiveNatural();
    }

    public static boolean isRealPositiveNumber(Tensor tensor) {
        if (tensor instanceof Complex) {
            Complex complex = (Complex) tensor;
            return complex.isReal() && complex.getReal().signum() > 0;
        }
        return false;
    }
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        return false;
    }

    public static boolean isRealNegativeNumber(Tensor tensor) {
        if (tensor instanceof Complex) {
            Complex complex = (Complex) tensor;
            return complex.isReal() && complex.getReal().signum() < 0;
        }
        return false;
    }
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            pb.put(descriptor);
        }


        if (random.nextBoolean()) {
            Complex factor = new Complex(1 + nextInt(100));
            factor = random.nextBoolean() ? factor : factor.negate();
            pb.put(factor);
        }
        return pb.build();
    }
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     * @param power    power
     * @return result of argument exponentiation
     * @throws IllegalArgumentException if argument is not scalar
     */
    public static Tensor pow(Tensor argument, int power) {
        return pow(argument, new Complex(power));
    }
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     * @param power    power
     * @return result of argument exponentiation
     * @throws IllegalArgumentException if argument is not scalar
     */
    public static Tensor pow(Tensor argument, java.math.BigInteger power) {
        return pow(argument, new Complex(power));
    }
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Related Classes of cc.redberry.core.number.Complex

  • cc.redberry.core.indexmapping.ProviderPower
  • cc.redberry.core.number.parser.ComplexToken
  • cc.redberry.core.parser.ParserNumber
  • cc.redberry.core.performance.kv.OneLoopInput
  • cc.redberry.core.tensor.PowerFactory
  • cc.redberry.core.tensor.PowersContainer
  • cc.redberry.core.tensor.Product
  • cc.redberry.core.tensor.ProductBuilder
  • cc.redberry.core.tensor.ProductFactory
  • cc.redberry.core.tensor.random.RandomTensor
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