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... | |