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 <string>
#include <vector>
#include <algorithm>
#include <ostream>
#include "SRI.hpp"
#include "Namelist.hpp"
#include "logstream.hpp"
#include "StringUtils.hpp"
Include dependency graph for SRI.cpp:

Go to the source code of this file.
Namespaces | |
| namespace | gpstk |
Functions | |
| SRI | operator+ (const SRI &Sleft, const SRI &Sright) throw (MatrixException,VectorException) |
| ostream & | operator<< (ostream &os, const SRI &S) |
Variables | |
| const Matrix< double > | SRINullMatrix |
| constant (empty) Matrix used for default input arguments | |
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Definition at line 463 of file SRI.cpp. References GPSTK_RETHROW. Referenced by GPSZcount::operator-(). |
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Definition at line 953 of file SRI.cpp. References SRI::names, SRI::R, LabelledMatrix::scientific(), LabelledMatrix::setprecision(), LabelledMatrix::setw(), and SRI::Z. |
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constant (empty) Matrix used for default input arguments
Definition at line 70 of file SRI.cpp. Referenced by SRIFilter::measurementUpdate(), and SRI::transform(). |
1.3.9.1