| LSSTApplications
    20.0.0
    LSSTDataManagementBasePackage | 
#include "ndarray.h"#include "lsst/base.h"#include "lsst/pex/config.h"#include "lsst/afw/table/Schema.h"#include "lsst/meas/modelfit/common.h"#include "lsst/meas/modelfit/Model.h"Go to the source code of this file.
| Classes | |
| class | lsst::meas::modelfit::OptimizerObjective | 
| Base class for objective functions for Optimizer.  More... | |
| class | lsst::meas::modelfit::OptimizerControl | 
| Configuration object for Optimizer.  More... | |
| class | lsst::meas::modelfit::OptimizerHistoryRecorder | 
| class | lsst::meas::modelfit::Optimizer | 
| A numerical optimizer customized for least-squares problems with Bayesian priors.  More... | |
| Namespaces | |
| lsst | |
| A base class for image defects. | |
| lsst::meas | |
| lsst::meas::modelfit | |
| Functions | |
| void | lsst::meas::modelfit::solveTrustRegion (ndarray::Array< Scalar, 1, 1 > const &x, ndarray::Array< Scalar const, 2, 1 > const &F, ndarray::Array< Scalar const, 1, 1 > const &g, double r, double tolerance) | 
| Solve a symmetric quadratic matrix equation with a ball constraint.  More... | |
 1.8.18
 1.8.18