private void Check(SparseStatus status)
{
if (status != SparseStatus.Success)
{
throw new CuSparseException(status);
}
}
/// <summary>
/// Initializes a new instance of the <see cref="ExtendedEigensolverResult{T}"/> class.
/// </summary>
/// <param name="info">The status returned by MKL extended eigensolver.</param>
/// <param name="size">The matrix size.</param>
/// <param name="k">The number of eigenvalues found (k < k0).</param>
/// <param name="e">Array of length k0. The first k entries of e are eigenvalues found in the interval.</param>
/// <param name="x">Matrix with k0 columns containing the orthonormal eigenvectors corresponding to the
/// computed eigenvalues e, with the i-th column of x holding the eigenvector associated with e[i].</param>
/// <param name="r">Array of length k0 containing the relative residual vector (in the first k components).</param>
public ExtendedEigensolverResult(SparseStatus info, int size, int k, double[] e, Matrix <T> x, double[] r)
{
this.size = size;
Status = info;
ConvergedEigenValues = k;
Residuals = r;
}
/// <summary>
/// Initializes a new instance of the <see cref="CuSparseException"/> class.
/// </summary>
/// <param name="status"></param>
public CuSparseException(SparseStatus status)
{
Status = status;
}
/// <inheritdoc />
public ExtendedEigensolverResult(SparseStatus info, int size, int k, double[] e, Matrix <double> x, double[] r)
: base(info, size, k, e, x, r)
{
eigenvalues = e;
eigenvectors = x;
}