| /external/ceres-solver/internal/ceres/ |
| numeric_diff_test_utils.h | 46 bool operator()(const double* x1, const double* x2, double* residuals) const;
55 double* residuals,
57 return functor_(parameters[0], parameters[1], residuals);
71 bool operator()(const double* x1, const double* x2, double* residuals) const;
80 double* residuals,
82 return functor_(parameters[0], parameters[1], residuals);
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| corrector.h | 68 // residuals *= sqrt(rho[1]) / (1 - alpha)
69 void CorrectResiduals(int num_rows, double* residuals);
72 // sqrt(rho[1]) * alpha / sq_norm * residuals residuals' * jacobian.
79 double* residuals,
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| residual_block_utils.h | 57 double* residuals,
60 // Check if any of the arrays cost, residuals or jacobians contains an
65 double* residuals,
69 // value of the parameters, residuals and jacobians if present.
74 double* residuals,
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| numeric_diff_test_utils.cc | 47 double* residuals) const {
48 residuals[0] = residuals[1] = residuals[2] = 0;
50 residuals[0] += x1[i] * x2[i];
51 residuals[2] += x2[i] * x2[i];
53 residuals[1] = residuals[0] * residuals[0];
68 double residuals[3] = {-1e-100, -2e-100, -3e-100 } local
138 double residuals[2]; local
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| residual_block_utils_test.cc | 61 double residuals; local
67 &residuals,
73 // valid residuals and jacobians.
77 double* residuals,
79 residuals[0] = 1;
92 double* residuals,
94 // Forget to update the residuals.
95 // residuals[0] = 1;
106 double* residuals,
108 residuals[0] = 1
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| residual_block_test.cc | 56 double* residuals,
59 residuals[i] = i;
112 double residuals[3]; local
113 residual_block.Evaluate(true, &cost, residuals, NULL, scratch);
115 EXPECT_EQ(0.0, residuals[0]);
116 EXPECT_EQ(1.0, residuals[1]);
117 EXPECT_EQ(2.0, residuals[2]);
121 VectorRef(residuals, 3).setConstant(0.0);
137 residual_block.Evaluate(true, &cost, residuals, jacobian_ptrs, scratch);
139 EXPECT_EQ(0.0, residuals[0])
251 double residuals[3]; local
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| runtime_numeric_diff_cost_function_test.cc | 65 double* residuals,
69 residuals[0] = residuals[1] = residuals[2] = 0;
71 residuals[0] += parameters[0][i] * parameters[1][i];
72 residuals[2] += parameters[1][i] * parameters[1][i];
74 residuals[1] = residuals[0] * residuals[0];
101 double residuals[3] = {-1e-100, -2e-100, -3e-100 } local
197 double residuals[2]; local
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| corrector_test.cc | 59 double residuals = sqrt(3.0); local
61 double sq_norm = residuals * residuals;
72 residuals * sqrt(kRho[1]) / (1 - kAlpha);
79 c.CorrectJacobian(1.0, 1.0, &residuals, &jacobian);
80 c.CorrectResiduals(1.0, &residuals);
82 ASSERT_NEAR(residuals, kExpectedResidual, 1e-6);
87 double residuals = 0.0; local
89 double sq_norm = residuals * residuals;
115 double residuals = sqrt(3.0); local
146 double residuals[3]; local
214 double residuals[3]; local
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| corrector.cc | 104 void Corrector::CorrectResiduals(int num_rows, double* residuals) {
105 DCHECK(residuals != NULL);
108 residuals[r] *= residual_scaling_;
114 double* residuals,
116 DCHECK(residuals != NULL);
133 r_transpose_j += jacobian[r * num_cols + c] * residuals[r];
139 alpha_sq_norm_ * residuals[r] * r_transpose_j);
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| autodiff_cost_function_test.cc | 73 double residuals = 0.0; local
75 cost_function->Evaluate(parameters, &residuals, NULL);
76 EXPECT_EQ(10.0, residuals);
77 cost_function->Evaluate(parameters, &residuals, jacobians);
125 double residuals = 0.0; local
127 cost_function->Evaluate(parameters, &residuals, NULL);
128 EXPECT_EQ(45.0, residuals);
130 cost_function->Evaluate(parameters, &residuals, jacobians);
131 EXPECT_EQ(residuals, 45.0);
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| cost_function_to_functor_test.cc | 63 scoped_array<double> residuals(new double[num_residuals]);
87 residuals.get(), NULL));
91 EXPECT_NEAR(residuals[i], actual_residuals[i], kTolerance)
97 residuals.get(),
103 EXPECT_NEAR(residuals[i], actual_residuals[i], kTolerance)
117 bool operator()(const T* x1, T* residuals) const {
118 residuals[0] = x1[0] * x1[0];
119 residuals[1] = x1[1] * x1[1];
127 bool operator()(const T* x1, const T* x2, T* residuals) const {
128 residuals[0] = x1[0] * x1[0] + x2[0] * x2[0]
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| dynamic_autodiff_cost_function_test.cc | 45 // Emits 21 residuals:
46 // A: i - parameters[0][i], for i in [0,10) -- this is 10 residuals
52 bool operator()(T const* const* parameters, T* residuals) const {
56 residuals[r++] = T(i) - params0[i];
57 residuals[r++] = params0[i] - T(i);
69 residuals[r++] = c_residual;
84 vector<double> residuals(21, -100000);
89 residuals.data(),
92 EXPECT_EQ(1.0 * r, residuals.at(r * 2));
93 EXPECT_EQ(-1.0 * r, residuals.at(r * 2 + 1))
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| evaluator_test_utils.h | 42 const double residuals[50]; member in struct:ceres::internal::ExpectedEvaluation
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| normal_prior_test.cc | 71 Vector residuals(num_rows);
74 prior.Evaluate(&x, residuals.data(), &jacobian);
78 (residuals - A * (VectorRef(x, num_cols) - b)).squaredNorm();
110 Vector residuals(num_rows);
113 prior.Evaluate(&x, residuals.data(), jacobians);
117 (residuals - A * (VectorRef(x, num_cols) - b)).squaredNorm();
120 prior.Evaluate(&x, residuals.data(), NULL);
123 (residuals - A * (VectorRef(x, num_cols) - b)).squaredNorm();
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| conditioned_cost_function.cc | 44 // This cost function has the same dimensions (parameters, residuals) as
78 double* residuals,
80 bool success = wrapped_cost_function_->Evaluate(parameters, residuals,
88 // residuals[r] = conditioners[r](wrapped_residuals[r])
103 double unconditioned_residual = residuals[r];
106 &residuals[r],
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| evaluator.h | 96 vector<double>* residuals,
131 // residuals, and jacobian in the corresponding arguments. Both residuals and
138 // double, and residuals is an array of doubles of size NumResiduals().
142 double* residuals,
151 double* residuals,
157 residuals,
184 // The number of residuals in the optimization problem.
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| trust_region_minimizer.h | 57 const double* residuals,
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| residual_block_utils.cc | 49 double* residuals,
55 InvalidateArray(num_residuals, residuals);
85 double* residuals,
88 CHECK_NOTNULL(residuals);
95 "Residual Block size: %d parameter blocks x %d residuals\n\n",
102 "indicated by 'Uninitialized'. This is an error. Residuals or Jacobian values evaluating \n" // NOLINT
105 string space = "Residuals: ";
107 AppendArrayToString(num_residuals, residuals, &result);
136 double* residuals,
141 if (!IsArrayValid(num_residuals, residuals)) {
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| residual_block.cc | 69 double* residuals,
76 // residuals taking more than 8 parameter block arguments are rare.
97 // If the caller didn't request residuals, use the scratch space for them.
98 bool outputting_residuals = (residuals != NULL);
100 residuals = scratch;
108 InvalidateEvaluation(*this, cost, residuals, eval_jacobians);
110 if (!cost_function_->Evaluate(parameters.get(), residuals, eval_jacobians)) {
117 residuals,
128 residuals,
134 double squared_norm = VectorRef(residuals, num_residuals).squaredNorm()
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| /external/ceres-solver/include/ceres/ |
| numeric_diff_functor.h | 44 // double* residuals);
78 // T* residuals) const {
139 bool operator()(const double* x0, double* residuals) const {
140 return functor_(x0, residuals);
145 double* residuals) const {
146 return functor_(x0, x1, residuals);
152 double* residuals) const {
153 return functor_(x0, x1, x2, residuals);
160 double* residuals) const {
161 return functor_(x0, x1, x2, x3, residuals);
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| normal_prior.h | 66 double* residuals,
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| conditioned_cost_function.h | 54 // // my_cost_function produces N residuals
85 double* residuals,
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| cost_function.h | 80 // residuals is an array of size num_residuals_.
98 // residuals and/or jacobians was successful or not.
115 double* residuals,
137 // number of outputs (residuals).
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| /external/ceres-solver/examples/ |
| snavely_reprojection_error.h | 60 T* residuals) const {
88 residuals[0] = predicted_x - T(observed_x);
89 residuals[1] = predicted_y - T(observed_y);
113 T* residuals) const {
143 residuals[0] = predicted_x - T(observed_x);
144 residuals[1] = predicted_y - T(observed_y);
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| /external/ceres-solver/include/ceres/internal/ |
| numeric_diff.h | 57 double* residuals,
64 residuals);
72 double* residuals,
74 return functor->Evaluate(parameters, residuals, NULL);
134 double residuals[kNumResiduals]; // NOLINT local
137 functor, parameters, residuals, functor)) {
142 // 1. Store residuals for the forward part.
143 // 2. Subtract residuals for the backward (or 0) part.
146 Map<const ResidualVector>(residuals, kNumResiduals);
154 functor, parameters, residuals, functor))
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