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LSST Applications 26.0.0,g0265f82a02+6660c170cc,g07994bdeae+30b05a742e,g0a0026dc87+17526d298f,g0a60f58ba1+17526d298f,g0e4bf8285c+96dd2c2ea9,g0ecae5effc+c266a536c8,g1e7d6db67d+6f7cb1f4bb,g26482f50c6+6346c0633c,g2bbee38e9b+6660c170cc,g2cc88a2952+0a4e78cd49,g3273194fdb+f6908454ef,g337abbeb29+6660c170cc,g337c41fc51+9a8f8f0815,g37c6e7c3d5+7bbafe9d37,g44018dc512+6660c170cc,g4a941329ef+4f7594a38e,g4c90b7bd52+5145c320d2,g58be5f913a+bea990ba40,g635b316a6c+8d6b3a3e56,g67924a670a+bfead8c487,g6ae5381d9b+81bc2a20b4,g93c4d6e787+26b17396bd,g98cecbdb62+ed2cb6d659,g98ffbb4407+81bc2a20b4,g9ddcbc5298+7f7571301f,ga1e77700b3+99e9273977,gae46bcf261+6660c170cc,gb2715bf1a1+17526d298f,gc86a011abf+17526d298f,gcf0d15dbbd+96dd2c2ea9,gdaeeff99f8+0d8dbea60f,gdb4ec4c597+6660c170cc,ge23793e450+96dd2c2ea9,gf041782ebf+171108ac67
LSST Data Management Base Package
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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. | |
1.9.7