| a_priori_err() const noexcept | rls_filter::RLSFilter< T, N > | inline |
| count() const noexcept | rls_filter::RLSFilter< T, N > | inline |
| count_ | rls_filter::RLSFilter< T, N > | private |
| delta_ | rls_filter::RLSFilter< T, N > | private |
| err_ | rls_filter::RLSFilter< T, N > | private |
| estimatedCoefficients() const noexcept | rls_filter::RLSFilter< T, N > | inline |
| g_ | rls_filter::RLSFilter< T, N > | private |
| gains() const noexcept | rls_filter::RLSFilter< T, N > | inline |
| lam_ | rls_filter::RLSFilter< T, N > | private |
| lam_inv_ | rls_filter::RLSFilter< T, N > | private |
| MatrixXt typedef | rls_filter::RLSFilter< T, N > | |
| n_ | rls_filter::RLSFilter< T, N > | private |
| P() const noexcept | rls_filter::RLSFilter< T, N > | inline |
| P_ | rls_filter::RLSFilter< T, N > | private |
| P_supp_ | rls_filter::RLSFilter< T, N > | private |
| predict(const VectorXt &x) const noexcept | rls_filter::RLSFilter< T, N > | inline |
| reset() noexcept | rls_filter::RLSFilter< T, N > | inline |
| RLSFilter(T lam, T delta) | rls_filter::RLSFilter< T, N > | inline |
| RLSFilter(unsigned int n, T lam, T delta) | rls_filter::RLSFilter< T, N > | inline |
| setEstimatedCoefficients(const VectorXt &w0) | rls_filter::RLSFilter< T, N > | inline |
| setForgettingFactor(double lam) | rls_filter::RLSFilter< T, N > | inline |
| setInitialCovarianceMatrixGain(double delta) | rls_filter::RLSFilter< T, N > | inline |
| update(const VectorXt &x, T y) | rls_filter::RLSFilter< T, N > | inline |
| VectorXt typedef | rls_filter::RLSFilter< T, N > | |
| w_ | rls_filter::RLSFilter< T, N > | private |