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LSST Applications g0f08755f38+82efc23009,g12f32b3c4e+e7bdf1200e,g1653933729+a8ce1bb630,g1a0ca8cf93+50eff2b06f,g28da252d5a+52db39f6a5,g2bbee38e9b+37c5a29d61,g2bc492864f+37c5a29d61,g2cdde0e794+c05ff076ad,g3156d2b45e+41e33cbcdc,g347aa1857d+37c5a29d61,g35bb328faa+a8ce1bb630,g3a166c0a6a+37c5a29d61,g3e281a1b8c+fb992f5633,g414038480c+7f03dfc1b0,g41af890bb2+11b950c980,g5fbc88fb19+17cd334064,g6b1c1869cb+12dd639c9a,g781aacb6e4+a8ce1bb630,g80478fca09+72e9651da0,g82479be7b0+04c31367b4,g858d7b2824+82efc23009,g9125e01d80+a8ce1bb630,g9726552aa6+8047e3811d,ga5288a1d22+e532dc0a0b,gae0086650b+a8ce1bb630,gb58c049af0+d64f4d3760,gc28159a63d+37c5a29d61,gcf0d15dbbd+2acd6d4d48,gd7358e8bfb+778a810b6e,gda3e153d99+82efc23009,gda6a2b7d83+2acd6d4d48,gdaeeff99f8+1711a396fd,ge2409df99d+6b12de1076,ge79ae78c31+37c5a29d61,gf0baf85859+d0a5978c5a,gf3967379c6+4954f8c433,gfb92a5be7c+82efc23009,gfec2e1e490+2aaed99252,w.2024.46
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. | |
1.10.0