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LSST Data Management Base Package
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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. More... | |
Eigen::MatrixXd | _mMat |
Derived least squares M matrix. More... | |
Eigen::VectorXd | _bVec |
Derived least squares B vector. More... | |
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 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 | |
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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 |
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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::StaticKernelSolution< InputT >, lsst::ip::diffim::RegularizedKernelSolution< InputT >, and lsst::ip::diffim::SpatialKernelSolution.
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.