public static WrappedGaussian AngleAverageLogarithm([SkipIfUniform] VectorGaussian rotate, double x, double y)
        {
            if (rotate.Dimension != 2)
            {
                throw new ArgumentException("rotate.Dimension (" + rotate.Dimension + ") != 2");
            }
            double rPrec = rotate.Precision[0, 0];

            if (rotate.Precision[0, 1] != 0)
            {
                throw new ArgumentException("rotate.Precision is not diagonal");
            }
            if (rotate.Precision[1, 1] != rPrec)
            {
                throw new ArgumentException("rotate.Precision is not spherical");
            }
#if false
            Vector rotateMean = rotate.GetMean();
            double a          = x * rotateMean[0] + y * rotateMean[1];
            double b          = x * rotateMean[1] - y * rotateMean[0];
#else
            double rotateMean0 = rotate.MeanTimesPrecision[0] / rotate.Precision[0, 0];
            double rotateMean1 = rotate.MeanTimesPrecision[1] / rotate.Precision[1, 1];
            double a           = x * rotateMean0 + y * rotateMean1;
            double b           = x * rotateMean1 - y * rotateMean0;
#endif
            double c      = Math.Sqrt(a * a + b * b) * rPrec;
            double angle0 = Math.Atan2(b, a);
            // the exact conditional is exp(c*cos(angle - angle0)) which is a von Mises distribution.
            // we will approximate this with a Gaussian lower bound that makes contact at the mode.
            WrappedGaussian result = WrappedGaussian.Uniform();
            result.Gaussian = Gaussian.FromMeanAndPrecision(angle0, c);
            return(result);
        }
Exemplo n.º 2
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        /// <include file='FactorDocs.xml' path='factor_docs/message_op_class[@name="DoublePlusOp"]/message_doc[@name="AAverageConditional(WrappedGaussian, double)"]/*'/>
        public static WrappedGaussian AAverageConditional([SkipIfUniform] WrappedGaussian sum, double b)
        {
            WrappedGaussian result = WrappedGaussian.Uniform(sum.Period);

            result.Gaussian = AAverageConditional(sum.Gaussian, b);
            result.Normalize();
            return(result);
        }
Exemplo n.º 3
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        /// <include file='FactorDocs.xml' path='factor_docs/message_op_class[@name="DoublePlusOp"]/message_doc[@name="SumAverageConditional(WrappedGaussian, double)"]/*'/>
        public static WrappedGaussian SumAverageConditional([SkipIfUniform] WrappedGaussian a, double b)
        {
            WrappedGaussian result = WrappedGaussian.Uniform(a.Period);

            result.Gaussian = SumAverageConditional(a.Gaussian, b);
            result.Normalize();
            return(result);
        }
Exemplo n.º 4
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        /// <include file='FactorDocs.xml' path='factor_docs/message_op_class[@name="PlusWrappedGaussianOp"]/message_doc[@name="AAverageLogarithm(WrappedGaussian, double)"]/*'/>
        public static WrappedGaussian AAverageLogarithm([SkipIfUniform] WrappedGaussian sum, double b)
        {
            WrappedGaussian result = WrappedGaussian.Uniform(sum.Period);

            result.Gaussian = DoublePlusVmpOp.AAverageLogarithm(sum.Gaussian, b);
            result.Normalize();
            return(result);
        }
Exemplo n.º 5
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        /// <include file='FactorDocs.xml' path='factor_docs/message_op_class[@name="DoublePlusOp"]/message_doc[@name="AAverageConditional(WrappedGaussian, WrappedGaussian)"]/*'/>
        public static WrappedGaussian AAverageConditional([SkipIfUniform] WrappedGaussian sum, [SkipIfUniform] WrappedGaussian b)
        {
            if (sum.Period != b.Period)
            {
                throw new ArgumentException("sum.Period (" + sum.Period + ") != b.Period (" + b.Period + ")");
            }
            WrappedGaussian result = WrappedGaussian.Uniform(sum.Period);

            result.Gaussian = AAverageConditional(sum.Gaussian, b.Gaussian);
            result.Normalize();
            return(result);
        }
Exemplo n.º 6
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        /// <include file='FactorDocs.xml' path='factor_docs/message_op_class[@name="PlusWrappedGaussianOp"]/message_doc[@name="SumAverageConditional(WrappedGaussian, WrappedGaussian)"]/*'/>
        public static WrappedGaussian SumAverageConditional([SkipIfUniform] WrappedGaussian a, [SkipIfUniform] WrappedGaussian b)
        {
            if (a.Period != b.Period)
            {
                throw new ArgumentException("a.Period (" + a.Period + ") != b.Period (" + b.Period + ")");
            }
            WrappedGaussian result = WrappedGaussian.Uniform(a.Period);

            result.Gaussian = DoublePlusOp.SumAverageConditional(a.Gaussian, b.Gaussian);
            result.Normalize();
            return(result);
        }
        public static WrappedGaussian AngleAverageLogarithm([SkipIfUniform] VectorGaussian rotate, double x, double y, [Proper] WrappedGaussian angle)
        {
            if (rotate.Dimension != 2)
            {
                throw new ArgumentException("rotate.Dimension (" + rotate.Dimension + ") != 2");
            }
            double rPrec = rotate.Precision[0, 0];

            if (rotate.Precision[0, 1] != 0)
            {
                throw new ArgumentException("rotate.Precision is not diagonal");
            }
            if (rotate.Precision[1, 1] != rPrec)
            {
                throw new ArgumentException("rotate.Precision is not spherical");
            }
            Vector rotateMean = rotate.GetMean();
            double a          = x * rotateMean[0] + y * rotateMean[1];
            double b          = x * rotateMean[1] - y * rotateMean[0];
            double c          = Math.Sqrt(a * a + b * b) * rPrec;
            double angle0     = Math.Atan2(b, a);

            // the exact conditional is exp(c*cos(angle - angle0)) which is a von Mises distribution.
            // we will approximate this with a Gaussian lower bound that makes contact at the current angleMean.
            if (angle.Period != 2 * Math.PI)
            {
                throw new ArgumentException("angle.Period (" + angle.Period + ") != 2*PI (" + 2 * Math.PI + ")");
            }
            double angleMean = angle.Gaussian.GetMean();
            double angleDiff = angleMean - angle0;
            double df        = -c *Math.Sin(angleDiff);

            double precision          = c * Math.Abs(Math.Cos(angleDiff * 0.5)); // ensures a lower bound
            double meanTimesPrecision = angleMean * precision + df;

            if (double.IsNaN(meanTimesPrecision))
            {
                throw new ApplicationException("result is nan");
            }
            WrappedGaussian result = WrappedGaussian.Uniform(angle.Period);

            result.Gaussian = Gaussian.FromNatural(meanTimesPrecision, precision);
            return(result);
        }