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LSSTApplications
18.1.0
LSSTDataManagementBasePackage
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#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... | |
1.8.13