/// <summary>
        /// Outer product of two vectors
        /// </summary>
        /// <param name="u">First vector</param>
        /// <param name="v">Second vector</param>
        /// <returns>Matrix M[i,j] = u[i]*v[j] </returns>
        /// <exception cref="ArgumentNullException">If the u vector is <see langword="null" />.</exception>
        /// <exception cref="ArgumentNullException">If the v vector is <see langword="null" />.</exception>
        public static DenseMatrix OuterProduct(DenseVector u, DenseVector v)
        {
            if (u == null)
            {
                throw new ArgumentNullException("u");
            }

            if (v == null)
            {
                throw new ArgumentNullException("v");
            }

            var matrix = new DenseMatrix(u.Count, v.Count);
            CommonParallel.For(
                0,
                u.Count,
                i =>
                {
                    for (var j = 0; j < v.Count; j++)
                    {
                        matrix.At(i, j, u._values[i] * v._values[j]);
                    }
                });
            return matrix;
        }
        /// <summary>
        /// Create a matrix based on this vector in row form (one single row).
        /// </summary>
        /// <returns>This vector as a row matrix.</returns>
        public override Matrix<Complex32> ToRowMatrix()
        {
            var matrix = new DenseMatrix(1, _length);
            for (var i = 0; i < _values.Length; i++)
            {
                matrix.At(0, i, _values[i]);
            }

            return matrix;
        }
        /// <summary>
        /// Create a matrix based on this vector in row form (one single row).
        /// </summary>
        /// <returns>This vector as a row matrix.</returns>
        public override Matrix<Complex32> ToRowMatrix()
        {
            var matrix = new DenseMatrix(1, Count);
            for (var i = 0; i < Data.Length; i++)
            {
                matrix.At(0, i, Data[i]);
            }

            return matrix;
        }
        /// <summary>
        /// Create a matrix based on this vector in column form (one single column).
        /// </summary>
        /// <returns>This vector as a column matrix.</returns>
        public override Matrix<Complex32> ToColumnMatrix()
        {
            var matrix = new DenseMatrix(_length, 1);
            for (var i = 0; i < _values.Length; i++)
            {
                matrix.At(i, 0, _values[i]);
            }

            return matrix;
        }
        /// <summary>
        /// Create a matrix based on this vector in column form (one single column).
        /// </summary>
        /// <returns>This vector as a column matrix.</returns>
        public override Matrix<Complex32> ToColumnMatrix()
        {
            var matrix = new DenseMatrix(Count, 1);
            for (var i = 0; i < Data.Length; i++)
            {
                matrix.At(i, 0, Data[i]);
            }

            return matrix;
        }