18class AbsoluteOrRelativeConvergenceMeasureTest;
59 const Eigen::VectorXd &oldValues,
60 const Eigen::VectorXd &newValues)
override
79 os <<
"absolute convergence measure: ";
80 os <<
"two-norm diff of data \"" << dataName <<
"\" = ";
84 os <<
", relative convergence measure: ";
85 os <<
"relative two-norm diff of data \"" << dataName <<
"\" = ";
88 os <<
", normalization = " <<
_norm;
#define PRECICE_ASSERT(...)
Measures the convergence from an old data set to a new one.
double _convergenceLimitPercent
virtual double getNormAbsResidual()
void measure(const Eigen::VectorXd &oldValues, const Eigen::VectorXd &newValues) override
Performs convergence measurement.
AbsoluteOrRelativeConvergenceMeasure(double absLimit, double relLimit)
Constructor.
std::string getAbbreviation() const override
Returns an abbreviation of the name of the measure for the log file headers.
~AbsoluteOrRelativeConvergenceMeasure() override=default
void newMeasurementSeries() override
To be called when a new meas. series (iteration process) starts.
virtual double getNormRelResidual()
bool isConvergence() const override
Returns true, if the last measurement indicates convergence.
std::string printState(const std::string &dataName) override
Adds current convergence information to output stream.
Interface for measures checking the convergence of a series of datasets.
This class provides a lightweight logger.
static double l2norm(const Eigen::VectorXd &vec)
The l2 norm of a vector is calculated on distributed data.
constexpr bool equals(const Eigen::MatrixBase< DerivedA > &A, const Eigen::MatrixBase< DerivedB > &B, double tolerance=NUMERICAL_ZERO_DIFFERENCE)
Compares two Eigen::MatrixBase for equality up to tolerance.
T setprecision(T... args)