NoiseModel.h
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1 /* ----------------------------------------------------------------------------
2 
3  * GTSAM Copyright 2010, Georgia Tech Research Corporation,
4  * Atlanta, Georgia 30332-0415
5  * All Rights Reserved
6  * Authors: Frank Dellaert, et al. (see THANKS for the full author list)
7 
8  * See LICENSE for the license information
9 
10  * -------------------------------------------------------------------------- */
11 
19 #pragma once
20 
21 #include <gtsam/base/Testable.h>
22 #include <gtsam/base/Matrix.h>
24 #include <gtsam/dllexport.h>
26 
27 #ifdef GTSAM_ENABLE_BOOST_SERIALIZATION
28 #include <boost/serialization/nvp.hpp>
29 #include <boost/serialization/extended_type_info.hpp>
30 #include <boost/serialization/singleton.hpp>
31 #include <boost/serialization/shared_ptr.hpp>
32 #endif
33 
34 #include <optional>
35 
36 namespace gtsam {
37 
39  namespace noiseModel {
40 
41  // Forward declaration
42  class Gaussian;
43  class Diagonal;
44  class Constrained;
45  class Isotropic;
46  class Unit;
47  class RobustModel;
48 
49  //---------------------------------------------------------------------------------------
50 
57  class GTSAM_EXPORT Base {
58 
59  public:
60  typedef std::shared_ptr<Base> shared_ptr;
61 
62  protected:
63 
64  size_t dim_;
65 
66  public:
67 
69  Base(size_t dim = 1):dim_(dim) {}
70  virtual ~Base() {}
71 
73  virtual bool isConstrained() const { return false; } // default false
74 
76  virtual bool isUnit() const { return false; } // default false
77 
79  inline size_t dim() const { return dim_;}
80 
81  virtual void print(const std::string& name = "") const = 0;
82 
83  virtual bool equals(const Base& expected, double tol=1e-9) const = 0;
84 
86  virtual Vector sigmas() const;
87 
89  virtual Vector whiten(const Vector& v) const = 0;
90 
92  virtual Matrix Whiten(const Matrix& H) const = 0;
93 
95  virtual Vector unwhiten(const Vector& v) const = 0;
96 
98  virtual double squaredMahalanobisDistance(const Vector& v) const;
99 
101  virtual double mahalanobisDistance(const Vector& v) const {
102  return std::sqrt(squaredMahalanobisDistance(v));
103  }
104 
106  virtual double loss(const double squared_distance) const {
107  return 0.5 * squared_distance;
108  }
109 
110  virtual void WhitenSystem(std::vector<Matrix>& A, Vector& b) const = 0;
111  virtual void WhitenSystem(Matrix& A, Vector& b) const = 0;
112  virtual void WhitenSystem(Matrix& A1, Matrix& A2, Vector& b) const = 0;
113  virtual void WhitenSystem(Matrix& A1, Matrix& A2, Matrix& A3, Vector& b) const = 0;
114 
116  virtual void whitenInPlace(Vector& v) const {
117  v = whiten(v);
118  }
119 
121  virtual void unwhitenInPlace(Vector& v) const {
122  v = unwhiten(v);
123  }
124 
126  virtual void whitenInPlace(Eigen::Block<Vector>& v) const {
127  v = whiten(v);
128  }
129 
131  virtual void unwhitenInPlace(Eigen::Block<Vector>& v) const {
132  v = unwhiten(v);
133  }
134 
136  virtual Vector unweightedWhiten(const Vector& v) const {
137  return whiten(v);
138  }
139 
141  virtual double weight(const Vector& v) const { return 1.0; }
142 
143  private:
144 #ifdef GTSAM_ENABLE_BOOST_SERIALIZATION
145 
146  friend class boost::serialization::access;
147  template<class ARCHIVE>
148  void serialize(ARCHIVE & ar, const unsigned int /*version*/) {
149  ar & BOOST_SERIALIZATION_NVP(dim_);
150  }
151 #endif
152  };
153 
154  //---------------------------------------------------------------------------------------
155 
168  class GTSAM_EXPORT Gaussian: public Base {
169 
170  protected:
171 
173  std::optional<Matrix> sqrt_information_;
174 
175  private:
176 
180  const Matrix& thisR() const {
181  // should never happen
182  if (!sqrt_information_) throw std::runtime_error("Gaussian: has no R matrix");
183  return *sqrt_information_;
184  }
185 
186 
187  public:
188 
189  typedef std::shared_ptr<Gaussian> shared_ptr;
190 
192  Gaussian(size_t dim = 1,
193  const std::optional<Matrix>& sqrt_information = {})
194  : Base(dim), sqrt_information_(sqrt_information) {}
195 
196  ~Gaussian() override {}
197 
203  static shared_ptr SqrtInformation(const Matrix& R, bool smart = true);
204 
210  static shared_ptr Information(const Matrix& M, bool smart = true);
211 
217  static shared_ptr Covariance(const Matrix& covariance, bool smart = true);
218 
219  void print(const std::string& name) const override;
220  bool equals(const Base& expected, double tol=1e-9) const override;
221  Vector sigmas() const override;
222  Vector whiten(const Vector& v) const override;
223  Vector unwhiten(const Vector& v) const override;
224 
229  Matrix Whiten(const Matrix& H) const override;
230 
234  virtual void WhitenInPlace(Matrix& H) const;
235 
239  virtual void WhitenInPlace(Eigen::Block<Matrix> H) const;
240 
244  void WhitenSystem(std::vector<Matrix>& A, Vector& b) const override;
245  void WhitenSystem(Matrix& A, Vector& b) const override;
246  void WhitenSystem(Matrix& A1, Matrix& A2, Vector& b) const override;
247  void WhitenSystem(Matrix& A1, Matrix& A2, Matrix& A3, Vector& b) const override;
248 
258  virtual std::shared_ptr<Diagonal> QR(Matrix& Ab) const;
259 
261  virtual Matrix R() const { return thisR();}
262 
264  virtual Matrix information() const;
265 
267  virtual Matrix covariance() const;
268 
269  private:
270 #ifdef GTSAM_ENABLE_BOOST_SERIALIZATION
271 
272  friend class boost::serialization::access;
273  template<class ARCHIVE>
274  void serialize(ARCHIVE & ar, const unsigned int /*version*/) {
275  ar & BOOST_SERIALIZATION_BASE_OBJECT_NVP(Base);
276  ar & BOOST_SERIALIZATION_NVP(sqrt_information_);
277  }
278 #endif
279  }; // Gaussian
280 
281  //---------------------------------------------------------------------------------------
282 
288  class GTSAM_EXPORT Diagonal : public Gaussian {
289  protected:
290 
296  Vector sigmas_, invsigmas_, precisions_;
297 
298  protected:
299 
301  Diagonal(const Vector& sigmas);
302 
303  public:
305  Diagonal();
306 
307  typedef std::shared_ptr<Diagonal> shared_ptr;
308 
309  ~Diagonal() override {}
310 
315  static shared_ptr Sigmas(const Vector& sigmas, bool smart = true);
316 
323  static shared_ptr Variances(const Vector& variances, bool smart = true);
324 
329  static shared_ptr Precisions(const Vector& precisions, bool smart = true);
330 
331  void print(const std::string& name) const override;
332  Vector sigmas() const override { return sigmas_; }
333  Vector whiten(const Vector& v) const override;
334  Vector unwhiten(const Vector& v) const override;
335  Matrix Whiten(const Matrix& H) const override;
336  void WhitenInPlace(Matrix& H) const override;
337  void WhitenInPlace(Eigen::Block<Matrix> H) const override;
338 
342  inline double sigma(size_t i) const { return sigmas_(i); }
343 
347  inline const Vector& invsigmas() const { return invsigmas_; }
348  inline double invsigma(size_t i) const {return invsigmas_(i);}
349 
353  inline const Vector& precisions() const { return precisions_; }
354  inline double precision(size_t i) const {return precisions_(i);}
355 
359  Matrix R() const override {
360  return invsigmas().asDiagonal();
361  }
362 
363  private:
364 #ifdef GTSAM_ENABLE_BOOST_SERIALIZATION
365 
366  friend class boost::serialization::access;
367  template<class ARCHIVE>
368  void serialize(ARCHIVE & ar, const unsigned int /*version*/) {
369  ar & BOOST_SERIALIZATION_BASE_OBJECT_NVP(Gaussian);
370  ar & BOOST_SERIALIZATION_NVP(sigmas_);
371  ar & BOOST_SERIALIZATION_NVP(invsigmas_);
372  }
373 #endif
374  }; // Diagonal
375 
376  //---------------------------------------------------------------------------------------
377 
390  class GTSAM_EXPORT Constrained : public Diagonal {
391  protected:
392 
393  // Sigmas are contained in the base class
395 
401  Constrained(const Vector& mu, const Vector& sigmas);
402 
403  public:
404 
405  typedef std::shared_ptr<Constrained> shared_ptr;
406 
413  Constrained(const Vector& sigmas = Z_1x1);
414 
415  ~Constrained() override {}
416 
418  bool isConstrained() const override { return true; }
419 
421  bool constrained(size_t i) const;
422 
424  const Vector& mu() const { return mu_; }
425 
430  static shared_ptr MixedSigmas(const Vector& mu, const Vector& sigmas);
431 
436  static shared_ptr MixedSigmas(const Vector& sigmas);
437 
442  static shared_ptr MixedSigmas(double m, const Vector& sigmas);
443 
448  static shared_ptr MixedVariances(const Vector& mu, const Vector& variances);
449  static shared_ptr MixedVariances(const Vector& variances);
450 
455  static shared_ptr MixedPrecisions(const Vector& mu, const Vector& precisions);
456  static shared_ptr MixedPrecisions(const Vector& precisions);
457 
463  double squaredMahalanobisDistance(const Vector& v) const override;
464 
466  static shared_ptr All(size_t dim) {
467  return shared_ptr(new Constrained(Vector::Constant(dim, 1000.0), Vector::Constant(dim,0)));
468  }
469 
471  static shared_ptr All(size_t dim, const Vector& mu) {
472  return shared_ptr(new Constrained(mu, Vector::Constant(dim,0)));
473  }
474 
476  static shared_ptr All(size_t dim, double mu) {
477  return shared_ptr(new Constrained(Vector::Constant(dim, mu), Vector::Constant(dim,0)));
478  }
479 
480  void print(const std::string& name) const override;
481 
483  Vector whiten(const Vector& v) const override;
484 
487  Matrix Whiten(const Matrix& H) const override;
488  void WhitenInPlace(Matrix& H) const override;
489  void WhitenInPlace(Eigen::Block<Matrix> H) const override;
490 
500  Diagonal::shared_ptr QR(Matrix& Ab) const override;
501 
506  shared_ptr unit() const;
507 
508  private:
509 #ifdef GTSAM_ENABLE_BOOST_SERIALIZATION
510 
511  friend class boost::serialization::access;
512  template<class ARCHIVE>
513  void serialize(ARCHIVE & ar, const unsigned int /*version*/) {
514  ar & BOOST_SERIALIZATION_BASE_OBJECT_NVP(Diagonal);
515  ar & BOOST_SERIALIZATION_NVP(mu_);
516  }
517 #endif
518 
519  }; // Constrained
520 
521  //---------------------------------------------------------------------------------------
522 
527  class GTSAM_EXPORT Isotropic : public Diagonal {
528  protected:
529  double sigma_, invsigma_;
530 
532  Isotropic(size_t dim, double sigma) :
533  Diagonal(Vector::Constant(dim, sigma)),sigma_(sigma),invsigma_(1.0/sigma) {}
534 
535  public:
536 
537  /* dummy constructor to allow for serialization */
538  Isotropic() : Diagonal(Vector1::Constant(1.0)),sigma_(1.0),invsigma_(1.0) {}
539 
540  ~Isotropic() override {}
541 
542  typedef std::shared_ptr<Isotropic> shared_ptr;
543 
547  static shared_ptr Sigma(size_t dim, double sigma, bool smart = true);
548 
555  static shared_ptr Variance(size_t dim, double variance, bool smart = true);
556 
560  static shared_ptr Precision(size_t dim, double precision, bool smart = true) {
561  return Variance(dim, 1.0/precision, smart);
562  }
563 
564  void print(const std::string& name) const override;
565  double squaredMahalanobisDistance(const Vector& v) const override;
566  Vector whiten(const Vector& v) const override;
567  Vector unwhiten(const Vector& v) const override;
568  Matrix Whiten(const Matrix& H) const override;
569  void WhitenInPlace(Matrix& H) const override;
570  void whitenInPlace(Vector& v) const override;
571  void WhitenInPlace(Eigen::Block<Matrix> H) const override;
572 
576  inline double sigma() const { return sigma_; }
577 
578  private:
579 #ifdef GTSAM_ENABLE_BOOST_SERIALIZATION
580 
581  friend class boost::serialization::access;
582  template<class ARCHIVE>
583  void serialize(ARCHIVE & ar, const unsigned int /*version*/) {
584  ar & BOOST_SERIALIZATION_BASE_OBJECT_NVP(Diagonal);
585  ar & BOOST_SERIALIZATION_NVP(sigma_);
586  ar & BOOST_SERIALIZATION_NVP(invsigma_);
587  }
588 #endif
589 
590  };
591 
592  //---------------------------------------------------------------------------------------
593 
597  class GTSAM_EXPORT Unit : public Isotropic {
598  public:
599 
600  typedef std::shared_ptr<Unit> shared_ptr;
601 
603  Unit(size_t dim=1): Isotropic(dim,1.0) {}
604 
605  ~Unit() override {}
606 
610  static shared_ptr Create(size_t dim) {
611  return shared_ptr(new Unit(dim));
612  }
613 
615  bool isUnit() const override { return true; }
616 
617  void print(const std::string& name) const override;
618  double squaredMahalanobisDistance(const Vector& v) const override;
619  Vector whiten(const Vector& v) const override { return v; }
620  Vector unwhiten(const Vector& v) const override { return v; }
621  Matrix Whiten(const Matrix& H) const override { return H; }
622  void WhitenInPlace(Matrix& /*H*/) const override {}
623  void WhitenInPlace(Eigen::Block<Matrix> /*H*/) const override {}
624  void whitenInPlace(Vector& /*v*/) const override {}
625  void unwhitenInPlace(Vector& /*v*/) const override {}
626  void whitenInPlace(Eigen::Block<Vector>& /*v*/) const override {}
627  void unwhitenInPlace(Eigen::Block<Vector>& /*v*/) const override {}
628 
629  private:
630 #ifdef GTSAM_ENABLE_BOOST_SERIALIZATION
631 
632  friend class boost::serialization::access;
633  template<class ARCHIVE>
634  void serialize(ARCHIVE & ar, const unsigned int /*version*/) {
635  ar & BOOST_SERIALIZATION_BASE_OBJECT_NVP(Isotropic);
636  }
637 #endif
638  };
639 
657  class GTSAM_EXPORT Robust : public Base {
658  public:
659  typedef std::shared_ptr<Robust> shared_ptr;
660 
661  protected:
664 
667 
668  public:
669 
671  Robust() {}
672 
675  : Base(noise->dim()), robust_(robust), noise_(noise) {}
676 
678  ~Robust() override {}
679 
680  void print(const std::string& name) const override;
681  bool equals(const Base& expected, double tol=1e-9) const override;
682 
684  const RobustModel::shared_ptr& robust() const { return robust_; }
685 
687  const NoiseModel::shared_ptr& noise() const { return noise_; }
688 
689  // Functions below are dummy but necessary for the noiseModel::Base
690  inline Vector whiten(const Vector& v) const override
691  { Vector r = v; this->WhitenSystem(r); return r; }
692  inline Matrix Whiten(const Matrix& A) const override
693  { Vector b; Matrix B=A; this->WhitenSystem(B,b); return B; }
694  inline Vector unwhiten(const Vector& /*v*/) const override
695  { throw std::invalid_argument("unwhiten is not currently supported for robust noise models."); }
697  double loss(const double squared_distance) const override {
698  return robust_->loss(std::sqrt(squared_distance));
699  }
700 
701  // NOTE: This is special because in whiten the base version will do the reweighting
702  // which is incorrect!
703  double squaredMahalanobisDistance(const Vector& v) const override {
704  return noise_->squaredMahalanobisDistance(v);
705  }
706 
707  // These are really robust iterated re-weighting support functions
708  virtual void WhitenSystem(Vector& b) const;
709  void WhitenSystem(std::vector<Matrix>& A, Vector& b) const override;
710  void WhitenSystem(Matrix& A, Vector& b) const override;
711  void WhitenSystem(Matrix& A1, Matrix& A2, Vector& b) const override;
712  void WhitenSystem(Matrix& A1, Matrix& A2, Matrix& A3, Vector& b) const override;
713 
714  Vector unweightedWhiten(const Vector& v) const override;
715  double weight(const Vector& v) const override;
716 
717  static shared_ptr Create(
718  const RobustModel::shared_ptr &robust, const NoiseModel::shared_ptr noise);
719 
720  private:
721 #ifdef GTSAM_ENABLE_BOOST_SERIALIZATION
722 
723  friend class boost::serialization::access;
724  template<class ARCHIVE>
725  void serialize(ARCHIVE & ar, const unsigned int /*version*/) {
726  ar & BOOST_SERIALIZATION_BASE_OBJECT_NVP(Base);
727  ar & boost::serialization::make_nvp("robust_", const_cast<RobustModel::shared_ptr&>(robust_));
728  ar & boost::serialization::make_nvp("noise_", const_cast<NoiseModel::shared_ptr&>(noise_));
729  }
730 #endif
731  };
732 
733  // Helper function
734  GTSAM_EXPORT std::optional<Vector> checkIfDiagonal(const Matrix& M);
735 
736  } // namespace noiseModel
737 
746 
748  template<> struct traits<noiseModel::Gaussian> : public Testable<noiseModel::Gaussian> {};
749  template<> struct traits<noiseModel::Diagonal> : public Testable<noiseModel::Diagonal> {};
750  template<> struct traits<noiseModel::Constrained> : public Testable<noiseModel::Constrained> {};
751  template<> struct traits<noiseModel::Isotropic> : public Testable<noiseModel::Isotropic> {};
752  template<> struct traits<noiseModel::Unit> : public Testable<noiseModel::Unit> {};
753 
754 } //\ namespace gtsam
755 
756 
gtsam::noiseModel::Isotropic::Isotropic
Isotropic()
Definition: NoiseModel.h:538
H
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Definition: gnuplot_common_settings.hh:74
gtsam::noiseModel::Base::isUnit
virtual bool isUnit() const
true if a unit noise model, saves slow/clumsy dynamic casting
Definition: NoiseModel.h:76
gtsam::noiseModel::Base::loss
virtual double loss(const double squared_distance) const
loss function, input is Mahalanobis distance
Definition: NoiseModel.h:106
name
Annotation for function names.
Definition: attr.h:51
gtsam::noiseModel::Diagonal::invsigma
double invsigma(size_t i) const
Definition: NoiseModel.h:348
Eigen::Block
Expression of a fixed-size or dynamic-size block.
Definition: Block.h:103
A3
static const double A3[]
Definition: expn.h:8
gtsam::noiseModel::Robust::robust
const RobustModel::shared_ptr & robust() const
Return the contained robust error function.
Definition: NoiseModel.h:684
e
Array< double, 1, 3 > e(1./3., 0.5, 2.)
gtsam::noiseModel::Base
Definition: NoiseModel.h:57
gtsam::noiseModel::Unit::unwhitenInPlace
void unwhitenInPlace(Eigen::Block< Vector > &) const override
Definition: NoiseModel.h:627
gtsam::noiseModel::Unit::unwhitenInPlace
void unwhitenInPlace(Vector &) const override
Definition: NoiseModel.h:625
Testable.h
Concept check for values that can be used in unit tests.
gtsam::noiseModel::Base::shared_ptr
std::shared_ptr< Base > shared_ptr
Definition: NoiseModel.h:60
gtsam::noiseModel::Unit::WhitenInPlace
void WhitenInPlace(Matrix &) const override
Definition: NoiseModel.h:622
mu
double mu
Definition: testBoundingConstraint.cpp:37
gtsam::noiseModel::Unit
Definition: NoiseModel.h:597
Matrix.h
typedef and functions to augment Eigen's MatrixXd
gtsam::noiseModel::Diagonal
Definition: NoiseModel.h:288
gtsam::noiseModel::Base::mahalanobisDistance
virtual double mahalanobisDistance(const Vector &v) const
Mahalanobis distance.
Definition: NoiseModel.h:101
gtsam::noiseModel::Gaussian::Gaussian
Gaussian(size_t dim=1, const std::optional< Matrix > &sqrt_information={})
Definition: NoiseModel.h:192
gtsam::noiseModel::Gaussian::sqrt_information_
std::optional< Matrix > sqrt_information_
Definition: NoiseModel.h:173
gtsam::noiseModel::Isotropic::sigma_
double sigma_
Definition: NoiseModel.h:529
gtsam::noiseModel::Unit::shared_ptr
std::shared_ptr< Unit > shared_ptr
Definition: NoiseModel.h:600
gtsam::noiseModel::Diagonal::invsigmas
const Vector & invsigmas() const
Definition: NoiseModel.h:347
B
Definition: test_numpy_dtypes.cpp:299
gtsam::noiseModel::Base::~Base
virtual ~Base()
Definition: NoiseModel.h:70
gtsam::noiseModel::Gaussian
Definition: NoiseModel.h:168
gtsam::Matrix
Eigen::MatrixXd Matrix
Definition: base/Matrix.h:39
gtsam::noiseModel::Isotropic::Isotropic
Isotropic(size_t dim, double sigma)
Definition: NoiseModel.h:532
gtsam::SharedConstrained
noiseModel::Constrained::shared_ptr SharedConstrained
Definition: NoiseModel.h:744
gtsam::noiseModel::Constrained::~Constrained
~Constrained() override
Definition: NoiseModel.h:415
gtsam::noiseModel::Isotropic::Precision
static shared_ptr Precision(size_t dim, double precision, bool smart=true)
Definition: NoiseModel.h:560
gtsam::noiseModel::Base::dim
size_t dim() const
Dimensionality.
Definition: NoiseModel.h:79
gtsam::noiseModel::Gaussian::shared_ptr
std::shared_ptr< Gaussian > shared_ptr
Definition: NoiseModel.h:189
gtsam::noiseModel::Unit::Unit
Unit(size_t dim=1)
Definition: NoiseModel.h:603
gtsam::Vector
Eigen::VectorXd Vector
Definition: Vector.h:38
gtsam::noiseModel::Constrained
Definition: NoiseModel.h:390
gtsam::noiseModel::Isotropic::sigma
double sigma() const
Definition: NoiseModel.h:576
sampling::sigma
static const double sigma
Definition: testGaussianBayesNet.cpp:169
gtsam::noiseModel::Diagonal::sigmas
Vector sigmas() const override
Calculate standard deviations.
Definition: NoiseModel.h:332
gtsam::noiseModel::Base::unweightedWhiten
virtual Vector unweightedWhiten(const Vector &v) const
Definition: NoiseModel.h:136
gtsam::noiseModel::Base::isConstrained
virtual bool isConstrained() const
true if a constrained noise model, saves slow/clumsy dynamic casting
Definition: NoiseModel.h:73
gtsam::noiseModel::Constrained::mu_
Vector mu_
Penalty function weight - needs to be large enough to dominate soft constraints.
Definition: NoiseModel.h:394
gtsam::noiseModel::Constrained::mu
const Vector & mu() const
Access mu as a vector.
Definition: NoiseModel.h:424
gtsam::print
void print(const Matrix &A, const string &s, ostream &stream)
Definition: Matrix.cpp:155
gtsam::noiseModel::Robust::Robust
Robust()
Default Constructor for serialization.
Definition: NoiseModel.h:671
gtsam::noiseModel::mEstimator::Base::shared_ptr
std::shared_ptr< Base > shared_ptr
Definition: LossFunctions.h:71
A
Definition: test_numpy_dtypes.cpp:298
gtsam::noiseModel::Base::weight
virtual double weight(const Vector &v) const
Definition: NoiseModel.h:141
gtsam::noiseModel::Robust::~Robust
~Robust() override
Destructor.
Definition: NoiseModel.h:678
gtsam::noiseModel::Isotropic
Definition: NoiseModel.h:527
gtsam::noiseModel::Diagonal::precision
double precision(size_t i) const
Definition: NoiseModel.h:354
gtsam::noiseModel::Base::unwhitenInPlace
virtual void unwhitenInPlace(Vector &v) const
Definition: NoiseModel.h:121
gtsam::noiseModel::Unit::Create
static shared_ptr Create(size_t dim)
Definition: NoiseModel.h:610
exampleQR::sigmas
Vector sigmas
Definition: testNoiseModel.cpp:212
gtsam::SharedDiagonal
noiseModel::Diagonal::shared_ptr SharedDiagonal
Definition: NoiseModel.h:743
A2
static const double A2[]
Definition: expn.h:7
cholesky::expected
Matrix expected
Definition: testMatrix.cpp:971
gtsam::noiseModel::Unit::isUnit
bool isUnit() const override
true if a unit noise model, saves slow/clumsy dynamic casting
Definition: NoiseModel.h:615
gtsam::noiseModel::Diagonal::sigma
double sigma(size_t i) const
Definition: NoiseModel.h:342
gtsam::noiseModel::Diagonal::sigmas_
Vector sigmas_
Definition: NoiseModel.h:296
gtsam::noiseModel::Constrained::All
static shared_ptr All(size_t dim)
Definition: NoiseModel.h:466
gtsam::noiseModel::Robust
Definition: NoiseModel.h:657
gtsam::noiseModel::Robust::whiten
Vector whiten(const Vector &v) const override
Whiten an error vector.
Definition: NoiseModel.h:690
gtsam::SharedGaussian
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Definition: NoiseModel.h:742
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Definition: NoiseModel.h:741
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Definition: NoiseModel.h:665
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Definition: NoiseModel.h:626
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Definition: NoiseModel.h:540
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Whiten an error vector.
Definition: NoiseModel.h:619
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Definition: NoiseModel.h:662
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Definition: NoiseModel.cpp:47
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Definition: NoiseModel.h:471
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Definition: NoiseModel.h:353
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Definition: NoiseModel.h:666
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Definition: NoiseModel.h:663
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Definition: Group.h:79
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Definition: NoiseModel.h:309
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Definition: NoiseModel.h:697
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Definition: NoiseModel.h:131
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Definition: Group.h:36
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Definition: NoiseModel.h:418
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Definition: NoiseModel.h:116
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Definition: NoiseModel.h:69
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Definition: NoiseModel.h:307
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Unwhiten an error vector.
Definition: NoiseModel.h:694
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Definition: NoiseModel.h:261
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Definition: ScenarioRunner.h:27
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Definition: expn.h:6
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Definition: NoiseModel.h:659
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Definition: NoiseModel.h:674
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Whiten a matrix.
Definition: NoiseModel.h:692
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Definition: Group.h:79
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Definition: NoiseModel.h:745
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Unwhiten an error vector.
Definition: NoiseModel.h:620
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Definition: 3rdparty/Eigen/Eigen/src/Core/Matrix.h:178
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Definition: NoiseModel.h:542
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Definition: NoiseModel.h:126
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Definition: NoiseModel.h:359
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Definition: NoiseModel.h:64
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Definition: NoiseModel.h:687
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Definition: LossFunctions.h:66
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Definition: NoiseModel.h:196
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Definition: NoiseModel.h:405
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Definition: NoiseModel.h:703
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Definition: NoiseModel.h:605
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Definition: NoiseModel.h:180
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Definition: jet.h:418
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Definition: BiCGSTAB_step_by_step.cpp:9
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Definition: NoiseModel.h:624
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Definition: NoiseModel.h:623
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Definition: NoiseModel.h:476
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Definition: NoiseModel.h:621
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Definition: bench_gemm.cpp:51


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autogenerated on Wed May 15 2024 15:20:20