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C# PositiveDefiniteMatrix.Scale方法代码示例

本文整理汇总了C#中PositiveDefiniteMatrix.Scale方法的典型用法代码示例。如果您正苦于以下问题:C# PositiveDefiniteMatrix.Scale方法的具体用法?C# PositiveDefiniteMatrix.Scale怎么用?C# PositiveDefiniteMatrix.Scale使用的例子?那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在PositiveDefiniteMatrix的用法示例。


在下文中一共展示了PositiveDefiniteMatrix.Scale方法的1个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的C#代码示例。

示例1: ProductAverageLogarithm

		/// <summary>
		/// VMP message to 'product'
		/// </summary>
		/// <param name="B">Incoming message from 'a'. Must be a proper distribution.  If uniform, the result will be uniform.</param>
		/// <param name="A">Incoming message from 'b'. Must be a proper distribution.  If uniform, the result will be uniform.</param>
		/// <returns>The outgoing VMP message to the 'product' argument</returns>
		/// <remarks><para>
		/// The outgoing message is a distribution matching the moments of 'product' as the random arguments are varied.
		/// The formula is <c>proj[sum_(a,b) p(a,b) factor(product,a,b)]</c>.
		/// </para></remarks>
		/// <exception cref="ImproperMessageException"><paramref name="B"/> is not a proper distribution</exception>
		/// <exception cref="ImproperMessageException"><paramref name="A"/> is not a proper distribution</exception>
		public static Wishart ProductAverageLogarithm([SkipIfUniform] Wishart A, [SkipIfUniform] Gamma B, Wishart result)
		{
			if (B.IsPointMass) return ProductAverageLogarithm(A, B.Point, result);
			// E[x] = E[a]*E[b]
			// E[log(x)] = E[log(a)]+E[log(b)]
			PositiveDefiniteMatrix m = new PositiveDefiniteMatrix(A.Dimension, A.Dimension);
			A.GetMean(m);
			m.Scale(B.GetMean());
			double meanLogDet = A.Dimension*B.GetMeanLog() + A.GetMeanLogDeterminant();
			if (m.LogDeterminant() < meanLogDet) throw new MatrixSingularException(m);
			return Wishart.FromMeanAndMeanLogDeterminant(m, meanLogDet, result);
		}
开发者ID:prgoodwin,项目名称:HabilisX,代码行数:24,代码来源:ProductWishart.cs


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