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LSSTApplications
8.0.0.0+107,8.0.0.1+13,9.1+18,9.2,master-g084aeec0a4,master-g0aced2eed8+6,master-g15627eb03c,master-g28afc54ef9,master-g3391ba5ea0,master-g3d0fb8ae5f,master-g4432ae2e89+36,master-g5c3c32f3ec+17,master-g60f1e072bb+1,master-g6a3ac32d1b,master-g76a88a4307+1,master-g7bce1f4e06+57,master-g8ff4092549+31,master-g98e65bf68e,master-ga6b77976b1+53,master-gae20e2b580+3,master-gb584cd3397+53,master-gc5448b162b+1,master-gc54cf9771d,master-gc69578ece6+1,master-gcbf758c456+22,master-gcec1da163f+63,master-gcf15f11bcc,master-gd167108223,master-gf44c96c709
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