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LSST Applications g063fba187b+cac8b7c890,g0f08755f38+6aee506743,g1653933729+a8ce1bb630,g168dd56ebc+a8ce1bb630,g1a2382251a+b4475c5878,g1dcb35cd9c+8f9bc1652e,g20f6ffc8e0+6aee506743,g217e2c1bcf+73dee94bd0,g28da252d5a+1f19c529b9,g2bbee38e9b+3f2625acfc,g2bc492864f+3f2625acfc,g3156d2b45e+6e55a43351,g32e5bea42b+1bb94961c2,g347aa1857d+3f2625acfc,g35bb328faa+a8ce1bb630,g3a166c0a6a+3f2625acfc,g3e281a1b8c+c5dd892a6c,g3e8969e208+a8ce1bb630,g414038480c+5927e1bc1e,g41af890bb2+8a9e676b2a,g7af13505b9+809c143d88,g80478fca09+6ef8b1810f,g82479be7b0+f568feb641,g858d7b2824+6aee506743,g89c8672015+f4add4ffd5,g9125e01d80+a8ce1bb630,ga5288a1d22+2903d499ea,gb58c049af0+d64f4d3760,gc28159a63d+3f2625acfc,gcab2d0539d+b12535109e,gcf0d15dbbd+46a3f46ba9,gda6a2b7d83+46a3f46ba9,gdaeeff99f8+1711a396fd,ge79ae78c31+3f2625acfc,gef2f8181fd+0a71e47438,gf0baf85859+c1f95f4921,gfa517265be+6aee506743,gfa999e8aa5+17cd334064,w.2024.51
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