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lsst::ip::diffim::KernelSolution Class Reference

#include <KernelSolution.h>

Inheritance diagram for lsst::ip::diffim::KernelSolution:
lsst::ip::diffim::StaticKernelSolution< PixelT > lsst::ip::diffim::SpatialKernelSolution lsst::ip::diffim::StaticKernelSolution< InputT > lsst::ip::diffim::MaskedKernelSolution< InputT > lsst::ip::diffim::RegularizedKernelSolution< InputT >

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< KernelSolutionPtr
 
typedef lsst::afw::math::Kernel::Pixel PixelT
 
typedef lsst::afw::image::Image< lsst::afw::math::Kernel::PixelImageT
 

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.
 

Detailed Description

Definition at line 31 of file KernelSolution.h.

Member Typedef Documentation

◆ ImageT

◆ PixelT

◆ Ptr

Member Enumeration Documentation

◆ ConditionNumberType

◆ KernelSolvedBy

Constructor & Destructor Documentation

◆ KernelSolution() [1/3]

lsst::ip::diffim::KernelSolution::KernelSolution ( Eigen::MatrixXd mMat,
Eigen::VectorXd bVec,
bool fitForBackground )
explicit

Definition at line 57 of file KernelSolution.cc.

61 :
63 _mMat(mMat),
64 _bVec(bVec),
65 _aVec(),
67 _fitForBackground(fitForBackground)
68 {};
bool _fitForBackground
Background terms included in fit.
int _id
Unique ID for object.
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.
Eigen::MatrixXd _mMat
Derived least squares M matrix.
static int _SolutionId
Unique identifier for solution.

◆ KernelSolution() [2/3]

lsst::ip::diffim::KernelSolution::KernelSolution ( bool fitForBackground)
explicit

Definition at line 70 of file KernelSolution.cc.

72 :
74 _mMat(),
75 _bVec(),
76 _aVec(),
78 _fitForBackground(fitForBackground)
79 {};

◆ KernelSolution() [3/3]

lsst::ip::diffim::KernelSolution::KernelSolution ( )
explicit

Definition at line 81 of file KernelSolution.cc.

81 :
83 _mMat(),
84 _bVec(),
85 _aVec(),
88 {};

◆ ~KernelSolution()

virtual lsst::ip::diffim::KernelSolution::~KernelSolution ( )
inlinevirtual

Definition at line 56 of file KernelSolution.h.

56{};

Member Function Documentation

◆ getB()

Eigen::VectorXd const & lsst::ip::diffim::KernelSolution::getB ( )
inline

Definition at line 65 of file KernelSolution.h.

65{return _bVec;}

◆ getConditionNumber() [1/2]

double lsst::ip::diffim::KernelSolution::getConditionNumber ( ConditionNumberType conditionType)
virtual

Definition at line 94 of file KernelSolution.cc.

94 {
95 return getConditionNumber(_mMat, conditionType);
96 }
virtual double getConditionNumber(ConditionNumberType conditionType)

◆ getConditionNumber() [2/2]

double lsst::ip::diffim::KernelSolution::getConditionNumber ( Eigen::MatrixXd const & mMat,
ConditionNumberType conditionType )
virtual

Definition at line 98 of file KernelSolution.cc.

99 {
100 switch (conditionType) {
101 case EIGENVALUE:
102 {
103 Eigen::SelfAdjointEigenSolver<Eigen::MatrixXd> eVecValues(mMat);
104 Eigen::VectorXd eValues = eVecValues.eigenvalues();
105 double eMax = eValues.maxCoeff();
106 double eMin = eValues.minCoeff();
107 LOGL_DEBUG("TRACE3.ip.diffim.KernelSolution.getConditionNumber",
108 "EIGENVALUE eMax / eMin = %.3e", eMax / eMin);
109 return (eMax / eMin);
110 break;
111 }
112 case SVD:
113 {
114 Eigen::VectorXd sValues = mMat.jacobiSvd().singularValues();
115 double sMax = sValues.maxCoeff();
116 double sMin = sValues.minCoeff();
117 LOGL_DEBUG("TRACE3.ip.diffim.KernelSolution.getConditionNumber",
118 "SVD eMax / eMin = %.3e", sMax / sMin);
119 return (sMax / sMin);
120 break;
121 }
122 default:
123 {
124 throw LSST_EXCEPT(pexExcept::InvalidParameterError,
125 "Undefined ConditionNumberType : only EIGENVALUE, SVD allowed.");
126 break;
127 }
128 }
129 }
#define LSST_EXCEPT(type,...)
Create an exception with a given type.
Definition Exception.h:48
#define LOGL_DEBUG(logger, message...)
Log a debug-level message using a varargs/printf style interface.
Definition Log.h:515

◆ getId()

int lsst::ip::diffim::KernelSolution::getId ( ) const
inline

Definition at line 69 of file KernelSolution.h.

69{ return _id; }

◆ getM()

Eigen::MatrixXd const & lsst::ip::diffim::KernelSolution::getM ( )
inline

Definition at line 64 of file KernelSolution.h.

64{return _mMat;}

◆ getSolvedBy()

KernelSolvedBy lsst::ip::diffim::KernelSolution::getSolvedBy ( )
inline

Definition at line 60 of file KernelSolution.h.

60{return _solvedBy;}

◆ printA()

void lsst::ip::diffim::KernelSolution::printA ( )
inline

Definition at line 68 of file KernelSolution.h.

68{std::cout << _aVec << std::endl;}
T endl(T... args)

◆ printB()

void lsst::ip::diffim::KernelSolution::printB ( )
inline

Definition at line 67 of file KernelSolution.h.

67{std::cout << _bVec << std::endl;}

◆ printM()

void lsst::ip::diffim::KernelSolution::printM ( )
inline

Definition at line 66 of file KernelSolution.h.

66{std::cout << _mMat << std::endl;}

◆ solve() [1/2]

◆ solve() [2/2]

void lsst::ip::diffim::KernelSolution::solve ( Eigen::MatrixXd const & mMat,
Eigen::VectorXd const & bVec )
virtual

Definition at line 131 of file KernelSolution.cc.

132 {
133
134 if (DEBUG_MATRIX) {
135 std::cout << "M " << std::endl;
136 std::cout << mMat << std::endl;
137 std::cout << "B " << std::endl;
138 std::cout << bVec << std::endl;
139 }
140
141 Eigen::VectorXd aVec = Eigen::VectorXd::Zero(bVec.size());
142
143 boost::timer::cpu_timer t;
144
145 LOGL_DEBUG("TRACE2.ip.diffim.KernelSolution.solve",
146 "Solving for kernel");
147 _solvedBy = LU;
148 Eigen::FullPivLU<Eigen::MatrixXd> lu(mMat);
149 if (lu.isInvertible()) {
150 aVec = lu.solve(bVec);
151 } else {
152 LOGL_DEBUG("TRACE3.ip.diffim.KernelSolution.solve",
153 "Unable to determine kernel via LU");
154 /* LAST RESORT */
155 try {
156
158 Eigen::SelfAdjointEigenSolver<Eigen::MatrixXd> eVecValues(mMat);
159 Eigen::MatrixXd const& rMat = eVecValues.eigenvectors();
160 Eigen::VectorXd eValues = eVecValues.eigenvalues();
161
162 for (int i = 0; i != eValues.rows(); ++i) {
163 if (eValues(i) != 0.0) {
164 eValues(i) = 1.0/eValues(i);
165 }
166 }
167
168 aVec = rMat * eValues.asDiagonal() * rMat.transpose() * bVec;
169 } catch (pexExcept::Exception& e) {
170
171 _solvedBy = NONE;
172 LOGL_DEBUG("TRACE3.ip.diffim.KernelSolution.solve",
173 "Unable to determine kernel via eigen-values");
174
175 throw LSST_EXCEPT(pexExcept::Exception, "Unable to determine kernel solution");
176 }
177 }
178
179 t.stop();
180 double time = 1e-9 * t.elapsed().wall;
181 LOGL_DEBUG("TRACE3.ip.diffim.KernelSolution.solve",
182 "Compute time for matrix math : %.2f s", time);
183
184 if (DEBUG_MATRIX) {
185 std::cout << "A " << std::endl;
186 std::cout << aVec << std::endl;
187 }
188
189 _aVec = aVec;
190 }
#define DEBUG_MATRIX
T time(T... args)

Member Data Documentation

◆ _aVec

Eigen::VectorXd lsst::ip::diffim::KernelSolution::_aVec
protected

Derived least squares solution matrix.

Definition at line 75 of file KernelSolution.h.

◆ _bVec

Eigen::VectorXd lsst::ip::diffim::KernelSolution::_bVec
protected

Derived least squares B vector.

Definition at line 74 of file KernelSolution.h.

◆ _fitForBackground

bool lsst::ip::diffim::KernelSolution::_fitForBackground
protected

Background terms included in fit.

Definition at line 77 of file KernelSolution.h.

◆ _id

int lsst::ip::diffim::KernelSolution::_id
protected

Unique ID for object.

Definition at line 72 of file KernelSolution.h.

◆ _mMat

Eigen::MatrixXd lsst::ip::diffim::KernelSolution::_mMat
protected

Derived least squares M matrix.

Definition at line 73 of file KernelSolution.h.

◆ _SolutionId

int lsst::ip::diffim::KernelSolution::_SolutionId = 0
staticprotected

Unique identifier for solution.

Definition at line 78 of file KernelSolution.h.

◆ _solvedBy

KernelSolvedBy lsst::ip::diffim::KernelSolution::_solvedBy
protected

Type of algorithm used to make solution.

Definition at line 76 of file KernelSolution.h.


The documentation for this class was generated from the following files: