Examples of cc.redberry.core.number.Complex.divide()

cc.redberry.core.number.Complex.divide()
cm.org/10.1145/1039813.1039814"> prescaling of operands to limit the effects of overflows and underflows in the computation.
{@code Infinite} and {@code NaN} values are handled according to the following rules, applied in the order presented:
- If either {@code this} or {@code divisor} has a {@code NaN} value in either part, {@link #ComplexNaN} isreturned.
- If {@code divisor} equals {@link #ZERO}, {@link #ComplexNaN} is returned.
- If {@code this} and {@code divisor} are both infinite, {@link #ComplexNaN} is returned.
- If {@code this} is finite(i.e., has no {@code Infinite} or {@code NaN} parts) and {@code divisor} is infinite (one or both partsinfinite), {@link #ZERO} is returned.
- If {@code this} is infinite and {@code divisor} is finite, {@code NaN} values are returned in the parts of the result if the {@link java.lang.Double} rules applied to thedefinitional formula force {@code NaN} results.
@param divisor Value by which this {@code Complex} is to be divided. @return {@code this / divisor}. @throws NullArgumentException if {@code divisor} is {@code null}.


        List<Tensor> newTos = new ArrayList<>();
        while (true) {
            if (subsResult == null)
                break;
            factor = factor.divide(fromFactor);
            newTos.add(subsResult.newTo);
            content = subsResult.remainder;
            subsResult = atomicSubstitute(content, forbidden, iterator);
        }
        Tensor[] result = new Tensor[newTos.size() + content.indexless.length + 2];

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        List<Tensor> newTos = new ArrayList<>();
        while (true) {
            if (subsResult == null)
                break;
            factor = factor.divide(fromFactor);
            newTos.add(subsResult.newTo);
            content = subsResult.remainder;
            subsResult = atomicSubstitute(content, forbidden, iterator);
        }
        Tensor[] result = new Tensor[newTos.size() + content.indexless.length + 2];

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        List<Tensor> newTos = new ArrayList<>();
        while (true) {
            if (subsResult == null)
                break;
            factor = factor.divide(fromFactor);
            newTos.add(subsResult.newTo);
            content = subsResult.remainder;
            subsResult = atomicSubstitute(content, forbidden);
        }
        Tensor[] result = new Tensor[newTos.size() + content.indexless.length + 2];

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        List<Tensor> newTos = new ArrayList<>();
        while (true) {
            if (subsResult == null)
                break;
            factor = factor.divide(fromFactor);
            newTos.add(subsResult.newTo);
            content = subsResult.remainder;
            subsResult = atomicSubstitute(content, forbidden);
        }
        Tensor[] result = new Tensor[newTos.size() + content.indexless.length + 2];

View Full Code Here


        List<Tensor> newTos = new ArrayList<>();
        while (true) {
            if (subsResult == null)
                break;
            factor = factor.divide(fromFactor);
            newTos.add(subsResult.newTo);
            content = subsResult.remainder;
            subsResult = atomicSubstitute(content, forbidden);
        }
        Tensor[] result = new Tensor[newTos.size() + content.indexless.length + 2];

View Full Code Here

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