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LSSTApplications
1.1.2+25,10.0+13,10.0+132,10.0+133,10.0+224,10.0+41,10.0+8,10.0-1-g0f53050+14,10.0-1-g4b7b172+19,10.0-1-g61a5bae+98,10.0-1-g7408a83+3,10.0-1-gc1e0f5a+19,10.0-1-gdb4482e+14,10.0-11-g3947115+2,10.0-12-g8719d8b+2,10.0-15-ga3f480f+1,10.0-2-g4f67435,10.0-2-gcb4bc6c+26,10.0-28-gf7f57a9+1,10.0-3-g1bbe32c+14,10.0-3-g5b46d21,10.0-4-g027f45f+5,10.0-4-g86f66b5+2,10.0-4-gc4fccf3+24,10.0-40-g4349866+2,10.0-5-g766159b,10.0-5-gca2295e+25,10.0-6-g462a451+1
LSSTDataManagementBasePackage
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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 boost::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 (boost::shared_ptr< Eigen::MatrixXd > mMat, boost::shared_ptr< Eigen::VectorXd > bVec, bool fitForBackground) | |
| KernelSolution (bool fitForBackground) | |
| KernelSolution () | |
| virtual | ~KernelSolution () |
| virtual void | solve () |
| virtual void | solve (Eigen::MatrixXd mMat, Eigen::VectorXd bVec) |
| KernelSolvedBy | getSolvedBy () |
| virtual double | getConditionNumber (ConditionNumberType conditionType) |
| virtual double | getConditionNumber (Eigen::MatrixXd mMat, ConditionNumberType conditionType) |
| boost::shared_ptr < Eigen::MatrixXd > | getM () |
| boost::shared_ptr < Eigen::VectorXd > | getB () |
| void | printM () |
| void | printB () |
| void | printA () |
| int | getId () const |
Protected Attributes | |
| int | _id |
| Unique ID for object. More... | |
| boost::shared_ptr < Eigen::MatrixXd > | _mMat |
| Derived least squares M matrix. More... | |
| boost::shared_ptr < Eigen::VectorXd > | _bVec |
| Derived least squares B vector. More... | |
| boost::shared_ptr < Eigen::VectorXd > | _aVec |
| Derived least squares solution matrix. More... | |
| KernelSolvedBy | _solvedBy |
| Type of algorithm used to make solution. More... | |
| bool | _fitForBackground |
| Background terms included in fit. More... | |
Static Protected Attributes | |
| static int | _SolutionId = 0 |
| Unique identifier for solution. More... | |
Definition at line 30 of file KernelSolution.h.
| typedef lsst::afw::image::Image<lsst::afw::math::Kernel::Pixel> lsst::ip::diffim::KernelSolution::ImageT |
Definition at line 34 of file KernelSolution.h.
Definition at line 33 of file KernelSolution.h.
| typedef boost::shared_ptr<KernelSolution> lsst::ip::diffim::KernelSolution::Ptr |
Definition at line 32 of file KernelSolution.h.
| Enumerator | |
|---|---|
| NONE | |
| CHOLESKY_LDLT | |
| CHOLESKY_LLT | |
| LU | |
| EIGENVECTOR | |
Definition at line 36 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 55 of file KernelSolution.h.
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inline |
Definition at line 64 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 68 of file KernelSolution.h.
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inline |
Definition at line 63 of file KernelSolution.h.
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inline |
Definition at line 59 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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inline |
Definition at line 65 of file KernelSolution.h.
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virtual |
Reimplemented in lsst::ip::diffim::SpatialKernelSolution, lsst::ip::diffim::RegularizedKernelSolution< InputT >, and lsst::ip::diffim::StaticKernelSolution< InputT >.
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 74 of file KernelSolution.h.
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protected |
Derived least squares B vector.
Definition at line 73 of file KernelSolution.h.
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protected |
Background terms included in fit.
Definition at line 76 of file KernelSolution.h.
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protected |
Unique ID for object.
Definition at line 71 of file KernelSolution.h.
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protected |
Derived least squares M matrix.
Definition at line 72 of file KernelSolution.h.
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staticprotected |
Unique identifier for solution.
Definition at line 77 of file KernelSolution.h.
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protected |
Type of algorithm used to make solution.
Definition at line 75 of file KernelSolution.h.
1.8.5