lsst.meas.modelfit 22.0.1-7-g8cdf404+672b22e90b
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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 | |
namespace | lsst |
namespace | lsst::meas |
namespace | 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... | |