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C# DenseMatrix.IsHermitian方法代码示例

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


在下文中一共展示了DenseMatrix.IsHermitian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: Create

        /// <summary>
        /// Initializes a new instance of the <see cref="DenseEvd"/> class. This object will compute the
        /// the eigenvalue decomposition when the constructor is called and cache it's decomposition.
        /// </summary>
        /// <param name="matrix">The matrix to factor.</param>
        /// <param name="symmetricity">If it is known whether the matrix is symmetric or not the routine can skip checking it itself.</param>
        /// <exception cref="ArgumentNullException">If <paramref name="matrix"/> is <c>null</c>.</exception>
        /// <exception cref="ArgumentException">If EVD algorithm failed to converge with matrix <paramref name="matrix"/>.</exception>
        public static DenseEvd Create(DenseMatrix matrix, Symmetricity symmetricity)
        {
            if (matrix.RowCount != matrix.ColumnCount)
            {
                throw new ArgumentException(Resources.ArgumentMatrixSquare);
            }

            var order = matrix.RowCount;

            // Initialize matrices for eigenvalues and eigenvectors
            var eigenVectors = DenseMatrix.CreateIdentity(order);
            var blockDiagonal = new DenseMatrix(order);
            var eigenValues = new DenseVector(order);

            bool isSymmetric;
            switch (symmetricity)
            {
                case Symmetricity.Hermitian:
                    isSymmetric = true;
                    break;
                case Symmetricity.Asymmetric:
                    isSymmetric = false;
                    break;
                default:
                    isSymmetric = matrix.IsHermitian();
                    break;
            }

            Control.LinearAlgebraProvider.EigenDecomp(isSymmetric, order, matrix.Values, eigenVectors.Values, eigenValues.Values, blockDiagonal.Values);

            return new DenseEvd(eigenVectors, eigenValues, blockDiagonal, isSymmetric);
        }
开发者ID:larzw,项目名称:mathnet-numerics,代码行数:40,代码来源:DenseEvd.cs


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