src/share/classes/java/util/stream/DoubleStream.java

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*** 500,525 **** <R> R collect(Supplier<R> supplier, ObjDoubleConsumer<R> accumulator, BiConsumer<R, R> combiner); /** ! * Returns the sum of elements in this stream. The sum returned can vary ! * depending upon the order in which elements are encountered. This is due ! * to accumulated rounding error in addition of values of differing ! * magnitudes. Elements sorted by increasing absolute magnitude tend to ! * yield more accurate results. If any stream element is a {@code NaN} or ! * the sum is at any point a {@code NaN} then the sum will be {@code NaN}. ! * This is a special case of a ! * <a href="package-summary.html#Reduction">reduction</a> and is * equivalent to: * <pre>{@code * return reduce(0, Double::sum); * }</pre> * * <p>This is a <a href="package-summary.html#StreamOps">terminal * operation</a>. * * @return the sum of elements in this stream */ double sum(); /** --- 500,545 ---- <R> R collect(Supplier<R> supplier, ObjDoubleConsumer<R> accumulator, BiConsumer<R, R> combiner); /** ! * Returns the sum of elements in this stream. ! * ! * Summation is a special case of a <a ! * href="package-summary.html#Reduction">reduction</a>. If ! * floating-point summation were exact, this method would be * equivalent to: + * * <pre>{@code * return reduce(0, Double::sum); * }</pre> * + * However, since floating-point summation is not exact, the above + * code is not necessarily equivalent to the summation computation + * done by this method. + * * <p>This is a <a href="package-summary.html#StreamOps">terminal * operation</a>. * + * <p>If any stream element is a NaN or the sum is at any point a NaN + * then the sum will be NaN. + * + * @apiNote The value of a floating-point sum is a function both + * of the input values as well as the order of addition + * operations. The order of addition operations of this method is + * intentionally not defined to allow for implementation + * flexibility to improve the speed and accuracy of the computed + * result. + * + * In particular, this method may be implemented using compensated + * summation or other technique to reduce the error bound in the + * numerical sum compared to a simple summation of {@code double} + * values. + * + * Sorting values by increasing absolute magnitude tends to yield + * more accurate results. + * * @return the sum of elements in this stream */ double sum(); /**