当前位置: 首页>>代码示例>>C#>>正文


C# PositiveDefiniteMatrix.SetToProduct方法代码示例

本文整理汇总了C#中PositiveDefiniteMatrix.SetToProduct方法的典型用法代码示例。如果您正苦于以下问题:C# PositiveDefiniteMatrix.SetToProduct方法的具体用法?C# PositiveDefiniteMatrix.SetToProduct怎么用?C# PositiveDefiniteMatrix.SetToProduct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.SetToProduct方法的2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: Combine

        public static VectorGaussianWishart Combine(VectorGaussian position, Wishart orientation, VectorGaussianWishart result)
        {
            if (orientation.IsUniform())
            {
                result.SetToUniform();
            }
            else if (position.IsUniform())
            {
                result.SetTo(orientation.Shape, orientation.Rate, Vector.Zero(2), 0);
            }
            else
            {
                PositiveDefiniteMatrix rateTimesPrecision = new PositiveDefiniteMatrix(2, 2);
                rateTimesPrecision.SetToProduct(orientation.Rate, position.Precision);
                double trace = MathHelpers.Invert(rateTimesPrecision).Trace();
                Vector positionMean = position.MeanTimesPrecision * MathHelpers.Invert(position.Precision);
                result.SetTo(orientation.Shape, orientation.Rate, positionMean, orientation.Dimension / (orientation.Shape * trace));
            }

            return result;
        }
开发者ID:hr0nix,项目名称:BayesianShapePrior,代码行数:21,代码来源:ShapeFactors.cs

示例2: ProductAverageConditional

		/// <summary>
		/// EP message to 'product'
		/// </summary>
		/// <param name="A">Constant value for 'a'.</param>
		/// <param name="BMean">Buffer 'BMean'.</param>
		/// <param name="BVariance">Buffer 'BVariance'.</param>
		/// <param name="result">Modified to contain the outgoing message</param>
		/// <returns><paramref name="result"/></returns>
		/// <remarks><para>
		/// The outgoing message is the factor viewed as a function of 'product' conditioned on the given values.
		/// </para></remarks>
		public static VectorGaussian ProductAverageConditional(Matrix A, [Fresh] Vector BMean, [Fresh] PositiveDefiniteMatrix BVariance, VectorGaussian result)
		{
			// P.mean = A*B.mean
			// P.var = A*B.var*A'
			// if A is invertible, then
			// P.prec = inv(A)'*inv(B.var)*inv(A)
			// P.precTimesMean = inv(A)'*B.precTimesMean
			Vector rmean = A * BMean;
			PositiveDefiniteMatrix rvariance = new PositiveDefiniteMatrix(result.Dimension, result.Dimension);
			Matrix temp = (A*BVariance).Transpose();
			rvariance.SetToProduct(A, temp);
			result.SetMeanAndVariance(rmean, rvariance);
			return result;
		}
开发者ID:dtrckd,项目名称:Mixed-Membership-Stochastic-Blockmodel,代码行数:25,代码来源:MatrixVectorProduct.cs


注:本文中的PositiveDefiniteMatrix.SetToProduct方法示例由纯净天空整理自Github/MSDocs等开源代码及文档管理平台,相关代码片段筛选自各路编程大神贡献的开源项目,源码版权归原作者所有,传播和使用请参考对应项目的License;未经允许,请勿转载。