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Searched refs:Covariance (Results 1 – 8 of 8) sorted by relevance

/external/ceres-solver/internal/ceres/
Dcovariance.cc41 Covariance::Covariance(const Covariance::Options& options) { in Covariance() function in ceres::Covariance
45 Covariance::~Covariance() { in ~Covariance()
48 bool Covariance::Compute( in Compute()
54 bool Covariance::GetCovarianceBlock(const double* parameter_block1, in GetCovarianceBlock()
Dcovariance_test.cc96 Covariance::Options options; in TEST()
285 void ComputeAndCompareCovarianceBlocks(const Covariance::Options& options, in ComputeAndCompareCovarianceBlocks()
315 Covariance covariance(options); in ComputeAndCompareCovarianceBlocks()
331 const Covariance& covariance, in GetCovarianceBlockAndCompare()
400 Covariance::Options options; in TEST_F()
447 Covariance::Options options; in TEST_F()
497 Covariance::Options options; in TEST_F()
553 Covariance::Options options; in TEST_F()
603 Covariance::Options options; in TEST_F()
611 Covariance::Options options; in TEST_F()
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Dcovariance_impl.h51 explicit CovarianceImpl(const Covariance::Options& options);
77 Covariance::Options options_;
Dcovariance_impl.cc78 CovarianceImpl::CovarianceImpl(const Covariance::Options& options) in CovarianceImpl()
/external/ceres-solver/include/ceres/
Dcovariance.h200 class CERES_EXPORT Covariance {
329 explicit Covariance(const Options& options);
330 ~Covariance();
Dproblem.h463 friend class Covariance; variable
/external/ceres-solver/docs/source/
Dsolving.rst2150 Covariance Estimation
2219 :class:`Covariance`
2222 :class:`Covariance` allows the user to evaluate the covariance for a
2231 matrix. Quite often just the block diagonal. :class:`Covariance`
2262 deficiency to the :class:`Covariance` object so that it can
2272 :class:`Covariance::Options`
2274 .. class:: Covariance::Options
2276 .. member:: int Covariance::Options::num_threads
2283 .. member:: CovarianceAlgorithmType Covariance::Options::algorithm_type
2323 .. member:: int Covariance::Options::min_reciprocal_condition_number
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Dfeatures.rst70 * **Covariance estimation** - Evaluate the sensitivity/uncertainty of