public static Gaussian ArrayAverageConditional <GaussianList>([SkipIfUniform] Gaussian sum, [Proper] IList <Gaussian> array, int resultIndex) { // when using ProductOp_SHG09 as the parent, 'array' is already the marginal // return FastSumOp.ArrayAverageLogarithm2(sum, array, to_array); return(FastSumOp.ArrayAverageLogarithm7(sum, array, resultIndex)); }
/// <summary>EP message to <c>array</c>.</summary> /// <param name="sum">Constant value for <c>sum</c>.</param> /// <param name="array">Incoming message from <c>array</c>. Must be a proper distribution. If the element at resultIndex is uniform, the result will be uniform.</param> /// <param name="resultIndex">Index of the <c>array</c> for which a message is desired.</param> /// <returns>The outgoing EP message to the <c>array</c> argument.</returns> /// <remarks> /// <para>The outgoing message is the factor viewed as a function of <c>array</c> conditioned on the given values.</para> /// </remarks> /// <exception cref="ImproperMessageException"> /// <paramref name="array" /> is not a proper distribution.</exception> public static Gaussian ArrayAverageConditional([SkipIfUniform] double sum, [Proper, MatchingIndex] IList <Gaussian> array, int resultIndex) { Gaussian to_sum = FastSumOp.SumAverageConditional(array); return(ArrayAverageConditional(Gaussian.PointMass(sum), to_sum, array, resultIndex)); }