Package org.netlib.util

Examples of org.netlib.util.intW

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        else
            Vr = null;

        // Find the needed workspace
        double[] worksize = new double[1];
        intW info = new intW(0);
        LAPACK.getInstance().dgeev(jobLeft.netlib(), jobRight.netlib(), n, new double[0],
                Matrices.ld(n), new double[0], new double[0], new double[0], Matrices.ld(n),
                new double[0], Matrices.ld(n), worksize, -1, info);

        // Allocate workspace
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        if (!A.isSquare())
            throw new IllegalArgumentException("!A.isSquare()");
        else if (A.numRows() != n)
            throw new IllegalArgumentException("A.numRows() != n");

        intW info = new intW(0);
        LAPACK.getInstance().dgeev(jobLeft.netlib(), jobRight.netlib(), n, A.getData(),
                Matrices.ld(n), Wr, Wi, jobLeft == JobEig.All ? Vl.getData() : new double[0],
                Matrices.ld(n), jobRight == JobEig.All ? Vr.getData() : new double[0], Matrices.ld(n),
                work, work.length, info);
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        // Allocate factorization matrix. The factorization matrix will be
        // large enough to accomodate any pivots
        BandMatrix Af = new BandMatrix(this, kl, ku + kl);
        int[] ipiv = new int[numRows];

        intW info = new intW(0);
        LAPACK.getInstance().dgbsv(numRows, kl, ku, X.numColumns(),
                Af.getData(), Matrices.ld(2 * kl + ku + 1), ipiv, Xd, Matrices.ld(numRows), info);

        if (info.val > 0)
            throw new MatrixSingularException();
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        if (n != A.numRows())
            throw new IllegalArgumentException("n != A.numRows()");

        notspd = false;

        intW info = new intW(0);
        if (upper)
            LAPACK.getInstance().dpotrf(UpLo.Upper.netlib(), A.numRows(),
                    A.getData(), Matrices.ld(A.numRows()), info);
        else
            LAPACK.getInstance().dpotrf(UpLo.Lower.netlib(), A.numRows(),
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        if (notspd)
            throw new MatrixNotSPDException();
        if (n != B.numRows())
            throw new IllegalArgumentException("n != B.numRows()");

        intW info = new intW(0);
        if (upper)
            LAPACK.getInstance().dpotrs(UpLo.Upper.netlib(), Cu.numRows(),
                    B.numColumns(), Cu.getData(), Matrices.ld(Cu.numRows()),
                    B.getData(), Matrices.ld(Cu.numRows()), info);
        else
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        double anorm = A.norm(Norm.One);

        double[] work = new double[3 * n];
        int[] iwork = new int[n];

        intW info = new intW(0);
        doubleW rcond = new doubleW(0);
        if (upper)
            LAPACK.getInstance().dpocon(UpLo.Upper.netlib(), n, Cu.getData(),
              Matrices.ld(n), anorm, rcond, work, iwork, info);
        else
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        uplo = upper ? UpLo.Upper : UpLo.Lower;

        // Find the needed workspace
        double[] worksize = new double[1];
        int[] iworksize = new int[1];
        intW info = new intW(0);
        LAPACK.getInstance().dsbevd(job.netlib(), uplo.netlib(), n, 0, new double[0],
          1, new double[0], new double[0], Matrices.ld(n), worksize, -1, iworksize, -1, info);

        // Allocate workspace
        int lwork = 0, liwork = 0;
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    private SymmBandEVD factor(Matrix A, double[] data, int kd)
            throws NotConvergedException {
        if (A.numRows() != n)
            throw new IllegalArgumentException("A.numRows() != n");

        intW info = new intW(0);
        LAPACK.getInstance().dsbevd(job.netlib(), uplo.netlib(), n, kd, data, Matrices.ld(kd + 1),
          w, job == JobEig.All ? Z.getData() : new double[0], Matrices.ld(n), work,
            work.length, iwork, iwork.length, info);

        if (info.val > 0)
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        double[] Xd = ((DenseMatrix) X).getData();

        X.set(B);

        intW info = new intW(0);
        LAPACK.getInstance().dtrtrs(uplo.netlib(), trans.netlib(), diag.netlib(), numRows,
                X.numColumns(), data, Math.max(1, ld), Xd, Matrices.ld(numRows), info);

        if (info.val > 0)
            throw new MatrixSingularException();
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        int lwork;

        // Query optimal workspace. First for computing the factorization
        {
            work = new double[1];
            intW info = new intW(0);
            LAPACK.getInstance().dgelqf(m, n, new double[0], Matrices.ld(m), new double[0],
                    work, -1, info);

            if (info.val != 0)
                lwork = m;
            else
                lwork = (int) work[0];
            lwork = Math.max(1, lwork);
            work = new double[lwork];
        }

        // Workspace needed for generating an explicit orthogonal matrix
        {
            workGen = new double[1];
            intW info = new intW(0);
            LAPACK.getInstance().dorglq(m, n, m, new double[0],
              Matrices.ld(m), new double[0], workGen, -1, info);

            if (info.val != 0)
                lwork = m;
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Related Classes of org.netlib.util.intW

  • ch.akuhn.matrix.eigenvalues.AllEigenvalues
  • ch.akuhn.matrix.eigenvalues.FewEigenvalues
  • com.github.fommil.netlib.Dgetri
  • com.github.fommil.netlib.Dsaupd
  • com.nr.fft.FFT
  • com.nr.ran.HashAll
  • com.nr.sf.Bessik
  • com.nr.sf.Bessjy
  • com.nr.test.test_chapter1.Test_caldat
  • com.nr.test.test_chapter10.Test_Amebsa
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