コード例 #1
0
        /**
         * Internal function for computing the decomposition.
         */
        private bool _decompose()
        {
            float[] h = QH.data;

            for (int k = 0; k < N - 2; k++)
            {
                // k = column
                u[k * 2]     = 0;
                u[k * 2 + 1] = 0;
                float max = QrHelperFunctions_CDRM.extractColumnAndMax(QH, k + 1, N, k, u, 0);

                if (max > 0)
                {
                    // -------- set up the reflector Q_k

                    float gamma = QrHelperFunctions_CDRM.computeTauGammaAndDivide(k + 1, N, u, max, tau);
                    gammas[k] = gamma;

                    // divide u by u_0
                    float real_u_0 = u[(k + 1) * 2] + tau.real;
                    float imag_u_0 = u[(k + 1) * 2 + 1] + tau.imaginary;
                    QrHelperFunctions_CDRM.divideElements(k + 2, N, u, 0, real_u_0, imag_u_0);

                    // write the reflector into the lower left column of the matrix
                    for (int i = k + 2; i < N; i++)
                    {
                        h[(i * N + k) * 2]     = u[i * 2];
                        h[(i * N + k) * 2 + 1] = u[i * 2 + 1];
                    }

                    u[(k + 1) * 2]     = 1;
                    u[(k + 1) * 2 + 1] = 0;

                    // ---------- multiply on the left by Q_k
                    QrHelperFunctions_CDRM.rank1UpdateMultR(QH, u, 0, gamma, k + 1, k + 1, N, b);

                    // ---------- multiply on the right by Q_k
                    QrHelperFunctions_CDRM.rank1UpdateMultL(QH, u, 0, gamma, 0, k + 1, N);

                    // since the first element in the householder vector is known to be 1
                    // store the full upper hessenberg
                    h[((k + 1) * N + k) * 2]     = -tau.real * max;
                    h[((k + 1) * N + k) * 2 + 1] = -tau.imaginary * max;
                }
                else
                {
                    gammas[k] = 0;
                }
            }

            return(true);
        }
コード例 #2
0
        /**
         * An orthogonal matrix that has the following property: T = Q<sup>H</sup>AQ
         *
         * @param Q If not null then the results will be stored here.  Otherwise a new matrix will be created.
         * @return The extracted Q matrix.
         */
        //@Override
        public CMatrixRMaj getQ(CMatrixRMaj Q, bool transposed)
        {
            Q = UtilDecompositons_CDRM.checkIdentity(Q, N, N);
            Array.Clear(w, 0, N * 2);

            if (transposed)
            {
                for (int j = N - 2; j >= 0; j--)
                {
                    QrHelperFunctions_CDRM.extractHouseholderRow(QT, j, j + 1, N, w, 0);
                    QrHelperFunctions_CDRM.rank1UpdateMultL(Q, w, 0, gammas[j], j + 1, j + 1, N);
                }
            }
            else
            {
                for (int j = N - 2; j >= 0; j--)
                {
                    QrHelperFunctions_CDRM.extractHouseholderRow(QT, j, j + 1, N, w, 0);
                    QrHelperFunctions_CDRM.rank1UpdateMultR(Q, w, 0, gammas[j], j + 1, j + 1, N, b);
                }
            }

            return(Q);
        }