diff --git a/src/Numerics/Distributions/Multivariate/VectorNormal.cs b/src/Numerics/Distributions/Multivariate/VectorNormal.cs
deleted file mode 100644
index f9e44c91..00000000
--- a/src/Numerics/Distributions/Multivariate/VectorNormal.cs
+++ /dev/null
@@ -1,283 +0,0 @@
-// <copyright file="VectorNormal.cs" company="Math.NET">
-// Math.NET Numerics, part of the Math.NET Project
-// http://mathnet.opensourcedotnet.info
-//
-// Copyright (c) 2009 Math.NET
-//
-// Permission is hereby granted, free of charge, to any person
-// obtaining a copy of this software and associated documentation
-// files (the "Software"), to deal in the Software without
-// restriction, including without limitation the rights to use,
-// copy, modify, merge, publish, distribute, sublicense, and/or sell
-// copies of the Software, and to permit persons to whom the
-// Software is furnished to do so, subject to the following
-// conditions:
-//
-// The above copyright notice and this permission notice shall be
-// included in all copies or substantial portions of the Software.
-//
-// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
-// EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES
-// OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
-// NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT
-// HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY,
-// WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
-// FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR
-// OTHER DEALINGS IN THE SOFTWARE.
-// </copyright>
-
-namespace MathNet.Numerics.Distributions
-{
-    using System;
-    using Properties;
-    using MathNet.Numerics.LinearAlgebra.Double;
-
-    /// <summary>
-    /// This class implements functionality for the multivariate normal distribution. This distribution
-    /// is parameterized by a mean vector and a covariance matrix.
-    /// </summary>
-    /// <remarks><para>The distribution will use the <see cref="System.Random"/> by default. 
-    /// Users can get/set the random number generator by using the <see cref="RandomSource"/> property.</para>
-    /// <para>The statistics classes will check all the incoming parameters whether they are in the allowed
-    /// range. This might involve heavy computation. Optionally, by setting Control.CheckDistributionParameters
-    /// to false, all parameter checks can be turned off.</para></remarks>
-    public class VectorNormal
-    {
-
-
-
-
-
-
-        // The Dirichlet distribution parameters.
-        private double[] _alpha;
-
-        /// <summary>
-        /// The distribution's random number generator.
-        /// </summary>
-        private Random _random;
-
-        /// <summary>
-        /// Initializes a new instance of the Dirichlet class. The distribution will
-        /// be initialized with the default <seealso cref="System.Random"/> random number generator.
-        /// </summary>
-        /// <param name="alpha">An array with the Dirichlet parameters.</param>
-        public Dirichlet(double[] alpha)
-        {
-            SetParameters(alpha);
-            RandomSource = new Random();
-        }
-
-        /// <summary>
-        /// Constructs a new symmetric Dirichlet distribution. The distribution will
-        /// be initialized with the default <seealso cref="System.Random"/> random number generator.
-        /// </summary>
-        /// <param name="alpha">The value of each parameter of the Dirichlet distribution.</param>
-        /// <param name="k">The dimension of the Dirichlet distribution.</param>
-        public Dirichlet(double alpha, int k)
-        {
-            // Create a parameter structure.
-            double[] parm = new double[k];
-            for (int i = 0; i < k; i++)
-            {
-                parm[i] = alpha;
-            }
-
-            SetParameters(parm);
-            RandomSource = new Random();
-        }
-
-        /// <summary>
-        /// Checks whether the parameters of the distribution are valid: no parameter can be less than zero and
-        /// at least one parameter should be larger than zero.
-        /// </summary>
-        /// <param name="alpha">The parameters of the Dirichlet distribution.</param>
-        /// <returns>True when the parameters are valid, false otherwise.</returns>
-        public static bool IsValidParameterSet(double[] alpha)
-        {
-            bool allzero = true;
-
-            for (int i = 0; i < alpha.Length; i++)
-            {
-                if (alpha[i] < 0.0)
-                {
-                    return false;
-                }
-                else if (alpha[i] > 0.0)
-                {
-                    allzero = false;
-                }
-            }
-
-            if (allzero)
-            {
-                return false;
-            }
-
-            return true;
-        }
-
-        /// <summary>
-        /// Sets the parameters of the distribution after checking their validity.
-        /// </summary>
-        /// <param name="alpha">The parameters of the Dirichlet distribution.</param>
-        /// <exception cref="ArgumentOutOfRangeException">When the parameters don't pass the <see cref="IsValidParameterSet"/> function.</exception>
-        private void SetParameters(double[] alpha)
-        {
-            if (Control.CheckDistributionParameters && !IsValidParameterSet(alpha))
-            {
-                throw new ArgumentOutOfRangeException(Resources.InvalidDistributionParameters);
-            }
-
-            _alpha = (double[]) alpha.Clone();
-        }
-
-        /// <summary>
-        /// A string representation of the distribution.
-        /// </summary>
-        public override string ToString()
-        {
-            return "Dirichlet(Dimension = " + this.Dimension + ")";
-        }
-
-        /// <summary>
-        /// Gets the dimension of the Dirichlet distribution.
-        /// </summary>
-        public int Dimension
-        {
-            get { return _alpha.Length; }
-        }
-
-        /// <summary>
-        /// Gets or sets the parameters of the Dirichlet distribution.
-        /// </summary>
-        public double[] Alpha
-        {
-            get
-            {
-                return _alpha;
-            }
-            set
-            {
-                SetParameters(value);
-            }
-        }
-
-        /// <summary>
-        /// The sum of the Dirichlet parameters.
-        /// </summary>
-        private double AlphaSum
-        {
-            get
-            {
-                double s = 0.0;
-                for (int i = 0; i < _alpha.Length; i++)
-                {
-                    s += _alpha[i];
-                }
-                return s;
-            }
-        }
-
-        /// <summary>
-        /// Gets the mean of the Dirichlet distribution.
-        /// </summary>
-        public double[] Mean
-        {
-            get
-            {
-                double sum = AlphaSum;
-                double[] parm = new double[Dimension];
-                for (int i = 0; i < Dimension; i++)
-                {
-                    parm[i] = _alpha[i] / sum;
-                }
-
-                return parm;
-            }
-        }
-
-        /// <summary>
-        /// Gets the variance of the Dirichlet distribution.
-        /// </summary>
-        public double[] Variance
-        {
-            get
-            {
-                double s = this.AlphaSum;
-                double[] v = new double[_alpha.Length];
-                for (int i = 0; i < _alpha.Length; i++)
-                {
-                    v[i] = _alpha[i]*(s - _alpha[i])/(s*s*(s + 1.0));
-                }
-                return v;
-            }
-        }
-
-        /// <summary>
-        /// Gets or sets the random number generator which is used to draw random samples.
-        /// </summary>
-        public Random RandomSource
-        {
-            get
-            {
-                return _random;
-            }
-
-            set
-            {
-                if (value == null)
-                {
-                    throw new ArgumentNullException();
-                }
-
-                _random = value;
-            }
-        }
-
-        /// <summary>
-        /// Samples a Dirichlet distributed random vector.
-        /// </summary>
-        public double[] Sample()
-        {
-            return Sample(RandomSource, _alpha);
-        }
-
-        /// <summary>
-        /// Samples a Dirichlet distributed random vector.
-        /// </summary>
-        /// <param name="rnd">The random number generator to use.</param>
-        /// <param name="alpha">The Dirichlet distribution parameter.</param>
-        public static double[] Sample(System.Random rnd, double[] alpha)
-        {
-            if (Control.CheckDistributionParameters && ! IsValidParameterSet(alpha))
-            {
-                throw new ArgumentOutOfRangeException(Resources.InvalidDistributionParameters);
-            }
-
-            int n = alpha.Length;
-            double[] gv = new double[n];
-            double sum = 0.0;
-            for (int i = 0; i < n; i++)
-            {
-                if (alpha[i] == 0.0)
-                {
-                    gv[i] = 0.0;
-                }
-                else
-                {
-                    gv[i] = Gamma.Sample(rnd, alpha[i], 1.0);
-                }
-
-                sum += gv[i];
-            }
-
-            for (int i = 0; i < n; i++)
-            {
-                gv[i] /= sum;
-            }
-
-            return gv;
-        }
-    }
-}
\ No newline at end of file