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lsst.ip.diffim g174f8ebed5+0e497d1560
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#include <KernelSolution.h>
Public Types | |
| enum | KernelSolvedBy { NONE = 0 , CHOLESKY_LDLT = 1 , CHOLESKY_LLT = 2 , LU = 3 , EIGENVECTOR = 4 } |
| enum | ConditionNumberType { EIGENVALUE = 0 , SVD = 1 } |
| typedef std::shared_ptr< KernelSolution > | Ptr |
| typedef lsst::afw::math::Kernel::Pixel | PixelT |
| typedef lsst::afw::image::Image< lsst::afw::math::Kernel::Pixel > | ImageT |
Public Member Functions | |
| KernelSolution (Eigen::MatrixXd mMat, Eigen::VectorXd bVec, bool fitForBackground) | |
| KernelSolution (bool fitForBackground) | |
| KernelSolution () | |
| virtual | ~KernelSolution () |
| virtual void | solve () |
| virtual void | solve (Eigen::MatrixXd const &mMat, Eigen::VectorXd const &bVec) |
| KernelSolvedBy | getSolvedBy () |
| virtual double | getConditionNumber (ConditionNumberType conditionType) |
| virtual double | getConditionNumber (Eigen::MatrixXd const &mMat, ConditionNumberType conditionType) |
| Eigen::MatrixXd const & | getM () |
| Eigen::VectorXd const & | getB () |
| void | printM () |
| void | printB () |
| void | printA () |
| int | getId () const |
Protected Attributes | |
| int | _id |
| Unique ID for object. | |
| Eigen::MatrixXd | _mMat |
| Derived least squares M matrix. | |
| Eigen::VectorXd | _bVec |
| Derived least squares B vector. | |
| Eigen::VectorXd | _aVec |
| Derived least squares solution matrix. | |
| KernelSolvedBy | _solvedBy |
| Type of algorithm used to make solution. | |
| bool | _fitForBackground |
| Background terms included in fit. | |
Static Protected Attributes | |
| static int | _SolutionId = 0 |
| Unique identifier for solution. | |
Definition at line 31 of file KernelSolution.h.
| typedef lsst::afw::image::Image<lsst::afw::math::Kernel::Pixel> lsst::ip::diffim::KernelSolution::ImageT |
Definition at line 35 of file KernelSolution.h.
Definition at line 34 of file KernelSolution.h.
Definition at line 33 of file KernelSolution.h.
| Enumerator | |
|---|---|
| EIGENVALUE | |
| SVD | |
Definition at line 45 of file KernelSolution.h.
| Enumerator | |
|---|---|
| NONE | |
| CHOLESKY_LDLT | |
| CHOLESKY_LLT | |
| LU | |
| EIGENVECTOR | |
Definition at line 37 of file KernelSolution.h.
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explicit |
Definition at line 57 of file KernelSolution.cc.
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explicit |
Definition at line 70 of file KernelSolution.cc.
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explicit |
Definition at line 81 of file KernelSolution.cc.
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inlinevirtual |
Definition at line 56 of file KernelSolution.h.
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inline |
Definition at line 65 of file KernelSolution.h.
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virtual |
Definition at line 94 of file KernelSolution.cc.
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virtual |
Definition at line 98 of file KernelSolution.cc.
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inline |
Definition at line 69 of file KernelSolution.h.
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inline |
Definition at line 64 of file KernelSolution.h.
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inline |
Definition at line 60 of file KernelSolution.h.
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inline |
Definition at line 68 of file KernelSolution.h.
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inline |
Definition at line 67 of file KernelSolution.h.
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inline |
Definition at line 66 of file KernelSolution.h.
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virtual |
Reimplemented in lsst::ip::diffim::RegularizedKernelSolution< InputT >, lsst::ip::diffim::SpatialKernelSolution, lsst::ip::diffim::StaticKernelSolution< InputT >, and lsst::ip::diffim::StaticKernelSolution< PixelT >.
Definition at line 90 of file KernelSolution.cc.
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virtual |
Definition at line 131 of file KernelSolution.cc.
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protected |
Derived least squares solution matrix.
Definition at line 75 of file KernelSolution.h.
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protected |
Derived least squares B vector.
Definition at line 74 of file KernelSolution.h.
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protected |
Background terms included in fit.
Definition at line 77 of file KernelSolution.h.
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protected |
Unique ID for object.
Definition at line 72 of file KernelSolution.h.
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protected |
Derived least squares M matrix.
Definition at line 73 of file KernelSolution.h.
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staticprotected |
Unique identifier for solution.
Definition at line 78 of file KernelSolution.h.
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protected |
Type of algorithm used to make solution.
Definition at line 76 of file KernelSolution.h.