LSSTApplications
17.0+11,17.0+34,17.0+56,17.0+57,17.0+59,17.0+7,17.0-1-g377950a+33,17.0.1-1-g114240f+2,17.0.1-1-g4d4fbc4+28,17.0.1-1-g55520dc+49,17.0.1-1-g5f4ed7e+52,17.0.1-1-g6dd7d69+17,17.0.1-1-g8de6c91+11,17.0.1-1-gb9095d2+7,17.0.1-1-ge9fec5e+5,17.0.1-1-gf4e0155+55,17.0.1-1-gfc65f5f+50,17.0.1-1-gfc6fb1f+20,17.0.1-10-g87f9f3f+1,17.0.1-11-ge9de802+16,17.0.1-16-ga14f7d5c+4,17.0.1-17-gc79d625+1,17.0.1-17-gdae4c4a+8,17.0.1-2-g26618f5+29,17.0.1-2-g54f2ebc+9,17.0.1-2-gf403422+1,17.0.1-20-g2ca2f74+6,17.0.1-23-gf3eadeb7+1,17.0.1-3-g7e86b59+39,17.0.1-3-gb5ca14a,17.0.1-3-gd08d533+40,17.0.1-30-g596af8797,17.0.1-4-g59d126d+4,17.0.1-4-gc69c472+5,17.0.1-6-g5afd9b9+4,17.0.1-7-g35889ee+1,17.0.1-7-gc7c8782+18,17.0.1-9-gc4bbfb2+3,w.2019.22
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 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 55 of file KernelSolution.cc.
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explicit |
Definition at line 68 of file KernelSolution.cc.
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explicit |
Definition at line 79 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 92 of file KernelSolution.cc.
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virtual |
Definition at line 96 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::SpatialKernelSolution, lsst::ip::diffim::RegularizedKernelSolution< InputT >, and lsst::ip::diffim::StaticKernelSolution< InputT >.
Definition at line 88 of file KernelSolution.cc.
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virtual |
Definition at line 129 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.