Searched refs:CENTRAL (Results 1 – 13 of 13) sorted by relevance
| /external/ceres-solver/internal/ceres/ |
| D | numeric_diff_cost_function_test.cc | 52 CENTRAL, in TEST()
58 functor.ExpectCostFunctionEvaluationIsNearlyCorrect(*cost_function, CENTRAL); in TEST()
78 CENTRAL, in TEST()
84 functor.ExpectCostFunctionEvaluationIsNearlyCorrect(*cost_function, CENTRAL); in TEST()
104 CENTRAL, in TEST()
110 functor.ExpectCostFunctionEvaluationIsNearlyCorrect(*cost_function, CENTRAL); in TEST()
130 CENTRAL, in TEST()
136 functor.ExpectCostFunctionEvaluationIsNearlyCorrect(*cost_function, CENTRAL); in TEST()
171 new NumericDiffCostFunction<SizeTestingCostFunction<1,1>, CENTRAL, 1, 1>( in TEST()
175 new NumericDiffCostFunction<SizeTestingCostFunction<2,1>, CENTRAL, 2, 1>( in TEST()
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| D | numeric_diff_functor_test.cc | 49 typedef NumericDiffFunctor<EasyFunctor, CENTRAL, 3, 5, 5> in TEST()
59 functor.ExpectCostFunctionEvaluationIsNearlyCorrect(*cost_function, CENTRAL); in TEST()
64 functor.ExpectCostFunctionEvaluationIsNearlyCorrect(*cost_function, CENTRAL); in TEST()
87 typedef NumericDiffFunctor<TranscendentalFunctor, CENTRAL, 2, 5, 5> in TEST()
97 functor.ExpectCostFunctionEvaluationIsNearlyCorrect(*cost_function, CENTRAL); in TEST()
102 functor.ExpectCostFunctionEvaluationIsNearlyCorrect(*cost_function, CENTRAL); in TEST()
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| D | numeric_diff_test_utils.cc | 78 const double tolerance = (method == CENTRAL)? 3e-9 : 2e-5; in ExpectCostFunctionEvaluationIsNearlyCorrect()
148 const double tolerance = (method == CENTRAL)? 3e-9 : 2e-5; in ExpectCostFunctionEvaluationIsNearlyCorrect()
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| D | gradient_checking_cost_function.cc | 89 DynamicNumericDiffCostFunction<CostFunction, CENTRAL>* in GradientCheckingCostFunction()
91 new DynamicNumericDiffCostFunction<CostFunction, CENTRAL>( in GradientCheckingCostFunction()
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| /external/ceres-solver/examples/ |
| D | helloworld_numeric_diff.cc | 38 using ceres::CENTRAL;
66 new NumericDiffCostFunction<CostFunctor, CENTRAL, 1, 1> (new CostFunctor); in main()
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| /external/ceres-solver/include/ceres/ |
| D | dynamic_numeric_diff_cost_function.h | 75 template <typename CostFunctor, NumericDiffMethod method = CENTRAL>
210 if (method == CENTRAL) { in EvaluateJacobianForParameterBlock()
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| D | types.h | 396 CENTRAL, enumerator
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| D | numeric_diff_cost_function.h | 175 NumericDiffMethod method = CENTRAL,
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| D | gradient_checker.h | 178 NumericDiffCostFunction<CostFunctionToProbe, CENTRAL, M, N0, N1, N2, N3, N4> in Probe()
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| D | numeric_diff_functor.h | 112 NumericDiffMethod kMethod = CENTRAL,
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| /external/ceres-solver/include/ceres/internal/ |
| D | numeric_diff.h | 155 if (kMethod == CENTRAL) { in EvaluateJacobianForParameterBlock()
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| /external/ceres-solver/docs/source/ |
| D | modeling.rst | 366 NumericDiffMethod method = CENTRAL,
442 = new NumericDiffCostFunction<MyScalarCostFunctor, CENTRAL, 1, 2, 2>(
464 = new NumericDiffCostFunction<MyScalarCostFunctor, CENTRAL, DYNAMIC, 2, 2>(
480 The ``CENTRAL`` difference method is considerably more accurate at
518 = new NumericDiffCostFunction<MyCostFunction, CENTRAL, 1, 4, 8>(
537 template <typename CostFunctor, NumericDiffMethod method = CENTRAL>
617 typedef NumericDiffFunctor<IntrinsicProjection, CENTRAL, 2, 5, 3>
640 Here, we made the choice of using ``CENTRAL`` differences to compute
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| D | tutorial.rst | 211 new NumericDiffCostFunction<NumericDiffCostFunctor, ceres::CENTRAL, 1, 1, 1>(
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