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26 #include <Eigen/Sparse>
57 template <
class Operator>
79 const std::optional<Vector>
initial = {})
116 const double ritzValue =
x.dot(
A_ *
x);
117 const double error = (
A_ *
x - ritzValue *
x).norm();
132 bool isConverged =
false;
134 for (
size_t i = 0;
i < maxIterations && !isConverged;
i++) {
typedef and functions to augment Eigen's VectorXd
size_t nrIterations() const
Return the number of iterations.
Compute maximum Eigenpair with power method.
typedef and functions to augment Eigen's MatrixXd
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Vector powerIteration() const
double eigenvalue() const
Return the eigenvalue.
bool converged(double tol) const
Vector eigenvector() const
Return the eigenvector.
Vector powerIteration(const Vector &x) const
Eigen::SparseMatrix< double > Sparse
bool compute(size_t maxIterations, double tol)
PowerMethod(const Operator &A, const std::optional< Vector > initial={})
Construct from the aim matrix and intial ritz vector.
gtsam
Author(s):
autogenerated on Fri Nov 1 2024 03:34:25