LSSTApplications  20.0.0
LSSTDataManagementBasePackage
Classes | Namespaces | Functions
optimizer.h File Reference
#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...