Reference documentation for deal.II version Git 6454e3f 2017-06-26 22:46:01 +0200
Classes | Functions
FESeries Namespace Reference

Classes

class  Fourier
 
class  Legendre
 

Functions

template<int dim, typename T >
std::pair< std::vector< unsigned int >, std::vector< double > > process_coefficients (const Table< dim, T > &coefficients, const std::function< std::pair< bool, unsigned int >(const TableIndices< dim > &)> &predicate, const VectorTools::NormType norm)
 
std::pair< double, double > linear_regression (const std::vector< double > &x, const std::vector< double > &y)
 
static::ExceptionBase & ExcLegendre (int arg1, double arg2)
 

Detailed Description

This namespace offers functions to calculate expansion series of the solution on the reference element. Coefficients of expansion are often used to estimate local smoothness of the underlying FiniteElement field to decide on h- or p-adaptive refinement strategy.

Author
Denis Davydov, 2016;

Function Documentation

template<int dim, typename T >
std::pair<std::vector<unsigned int>,std::vector<double> > FESeries::process_coefficients ( const Table< dim, T > &  coefficients,
const std::function< std::pair< bool, unsigned int >(const TableIndices< dim > &)> &  predicate,
const VectorTools::NormType  norm 
)

Calculate the norm of subsets of coefficients defined by predicate being constant. Return the pair of vectors of predicate values and the vector of calculated subset norms.

predicate should return a pair of bool and unsigned int. The former is a flag whether a given TableIndices should be used in calculation, whereas the latter is the unrolled value of indices according to which the subsets of coefficients will be formed.

Note
Only the following values of norm are implemented and make sense in this case: mean, L1_norm, L2_norm, Linfty_norm. The mean norm can only be applied to real valued coefficients.
std::pair< double, double > FESeries::linear_regression ( const std::vector< double > &  x,
const std::vector< double > &  y 
)

Linear regression least-square fit of \(y = k \, x + b\). The size of the input vectors should be equal and more than 1. The returned pair will contain \(k\) (first) and \(b\) (second).

Definition at line 372 of file fe_series.cc.