| /external/ceres-solver/internal/ceres/ |
| numeric_diff_functor_test.cc | 56 new AutoDiffCostFunction<NumericDiffEasyFunctor, 3, 5, 5>(
62 new AutoDiffCostFunction<NumericDiffEasyFunctor, 3, 5, 5>(
75 new AutoDiffCostFunction<NumericDiffEasyFunctor, 3, 5, 5>(
81 new AutoDiffCostFunction<NumericDiffEasyFunctor, 3, 5, 5>(
94 new AutoDiffCostFunction<NumericDiffTranscendentalFunctor, 2, 5, 5>(
100 new AutoDiffCostFunction<NumericDiffTranscendentalFunctor, 2, 5, 5>(
113 new AutoDiffCostFunction<NumericDiffTranscendentalFunctor, 2, 5, 5>(
119 new AutoDiffCostFunction<NumericDiffTranscendentalFunctor, 2, 5, 5>(
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| autodiff_cost_function_test.cc | 54 TEST(AutodiffCostFunction, BilinearDifferentiationTest) {
56 new AutoDiffCostFunction<BinaryScalarCost, 1, 2, 2>(
111 TEST(AutodiffCostFunction, ManyParameterAutodiffInstantiates) {
113 new AutoDiffCostFunction<
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| solver_impl_test.cc | 73 new AutoDiffCostFunction<Quadratic4DCostFunction, 1, 1, 1, 1, 1>(
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| system_test.cc | 220 new AutoDiffCostFunction<F1, 1, 1, 1>(new F1), NULL, &x_[0], &x_[1]);
222 new AutoDiffCostFunction<F2, 1, 1, 1>(new F2), NULL, &x_[2], &x_[3]);
224 new AutoDiffCostFunction<F3, 1, 1, 1>(new F3), NULL, &x_[1], &x_[2]);
226 new AutoDiffCostFunction<F4, 1, 1, 1>(new F4), NULL, &x_[0], &x_[3]);
390 new AutoDiffCostFunction<BundlerResidual, 2, 9, 3>(
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| cost_function_to_functor_test.cc | 247 new AutoDiffCostFunction< \
251 new AutoDiffCostFunction< \
256 new AutoDiffCostFunction<NAME##Functor, 2, PARAMETER_BLOCK_SIZES >( \
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| solver_test.cc | 68 return new AutoDiffCostFunction<QuadraticCostFunctor, 1, 1>(
143 return new AutoDiffCostFunction<Quadratic4DCostFunction, 1, 1, 1, 1, 1>(
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| /external/ceres-solver/include/ceres/ |
| autodiff_cost_function.h | 86 // = new AutoDiffCostFunction<MyScalarCostFunctor, 1, 2, 2>(
99 // AutoDiffCostFunction also supports cost functions with a
103 // = new AutoDiffCostFunction<MyScalarCostFunctor, DYNAMIC, 2, 2>(
166 class AutoDiffCostFunction : public SizedCostFunction<kNumResiduals,
172 explicit AutoDiffCostFunction(CostFunctor* functor)
184 AutoDiffCostFunction(CostFunctor* functor, int num_residuals)
195 virtual ~AutoDiffCostFunction() {}
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| /external/ceres-solver/examples/ |
| powell.cc | 52 using ceres::AutoDiffCostFunction;
114 problem.AddResidualBlock(new AutoDiffCostFunction<F1, 1, 1, 1>(new F1),
117 problem.AddResidualBlock(new AutoDiffCostFunction<F2, 1, 1, 1>(new F2),
120 problem.AddResidualBlock(new AutoDiffCostFunction<F3, 1, 1, 1>(new F3),
123 problem.AddResidualBlock(new AutoDiffCostFunction<F4, 1, 1, 1>(new F4),
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| helloworld.cc | 39 using ceres::AutoDiffCostFunction;
70 new AutoDiffCostFunction<CostFunctor, 1, 1>(new CostFunctor);
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| circle_fit.cc | 60 using ceres::AutoDiffCostFunction;
141 new AutoDiffCostFunction<DistanceFromCircleCost, 1, 1, 1, 1>(
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| curve_fitting.cc | 34 using ceres::AutoDiffCostFunction;
146 new AutoDiffCostFunction<ExponentialResidual, 1, 1, 1>(
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| snavely_reprojection_error.h | 98 return (new ceres::AutoDiffCostFunction<SnavelyReprojectionError, 2, 9, 3>(
161 return (new ceres::AutoDiffCostFunction<
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| robot_pose_mle.cc | 57 // The OdometryConstraint residual is modeled as an AutoDiffCostFunction with
123 // variable, and will be computed by an AutoDiffCostFunction, while the term
138 using ceres::AutoDiffCostFunction;
166 typedef AutoDiffCostFunction<OdometryConstraint, 1, 1> OdometryCostFunction;
298 // Create and add an AutoDiffCostFunction for the OdometryConstraint for
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| robust_curve_fitting.cc | 116 using ceres::AutoDiffCostFunction;
148 new AutoDiffCostFunction<ExponentialResidual, 1, 1, 1>(
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| simple_bundle_adjuster.cc | 167 return (new ceres::AutoDiffCostFunction<SnavelyReprojectionError, 2, 9, 3>(
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| libmv_homography.cc | 344 new ceres::AutoDiffCostFunction<
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| more_garbow_hillstrom.cc | 74 return new AutoDiffCostFunction<name, \
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| ellipse_approximation.cc | 351 return new ceres::AutoDiffCostFunction<EuclideanDistanceFunctor, 2, 2, 2>(
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| libmv_bundle_adjuster.cc | 694 problem.AddResidualBlock(new ceres::AutoDiffCostFunction<
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| nist.cc | 428 new ceres::AutoDiffCostFunction<Model, num_residuals, num_parameters>(
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