Implementation of class SRI. class SRI implements the square root information methods, used for least squares estimation and the SRI form of the Kalman filter.
Reference: "Factorization Methods for Discrete Sequential Estimation," by G.J. Bierman, Academic Press, 1977.
Definition in file SRI.cpp.
#include <algorithm>#include <ostream>#include <string>#include <vector>#include "Namelist.hpp"#include "SRI.hpp"#include "StringUtils.hpp"
Go to the source code of this file.
Namespaces | |
| gnsstk | |
| For Sinex::InputHistory. | |
Functions | |
| SRI | gnsstk::operator+ (const SRI &Sleft, const SRI &Sright) |
| ostream & | gnsstk::operator<< (ostream &os, const SRI &S) |
Variables | |
| const Matrix< double > | gnsstk::SRINullMatrix |
| constant (empty) Matrix used for default input arguments More... | |
| const SparseMatrix< double > | gnsstk::SRINullSparseMatrix |
| constant (empty) SparseMatrix used for default input arguments More... | |