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ModeSeparation.h void covariance(Scalar *function, unsigned index, std::vector< unsigned > &imap, std::vector< std::vector< double > > &covar) Reference::To< MEAL::CrossCoherency > cross Mode C (cross-coherency) Definition: ModeSeparation.h:81 Reference::To< MEAL::Coherency > mode_B Mode B. Definition: ModeSeparation.h:77 Definition: Archive.h:26 Reference::To< MEAL::Real4 > covariance Covariance of the mode sum. Definition: ModeSeparation.h:67 const ScalarMath sqrt(const ScalarMath &x) Stokes< Estimate< double > > obs_mean Mean Stokes parameters. Definition: ModeSeparation.h:61 void add_model(T *model) T get_value() const Reference::To< MEAL::ScalarVector > space Vector space of problem. Definition: ModeSeparation.h:88 ModeSeparation() Default constructor. Definition: ModeSeparation.C:142 Matrix< 4, 4, Estimate< double > > obs_covariance Mean covariance matrix. Definition: ModeSeparation.h:64 Reference::To< MEAL::Complex2 > mean Mean value of the mode sum. Definition: ModeSeparation.h:70 void set_mean(const Stokes< Estimate< double > > &) Set the estimated mean Stokes parameters. Definition: ModeSeparation.C:182 Reference::To< MEAL::Coherency > mode_A Mode A. Definition: ModeSeparation.h:73 void set_covariance(const Matrix< 4, 4, Estimate< double > > &) Set the estimated covariance matrix of the Stokes parameters. Definition: ModeSeparation.C:218 Generated using doxygen 1.8.17
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