| /external/ceres-solver/internal/ceres/ |
| H A D | low_rank_inverse_hessian.h | 87 virtual void RightMultiply(const double* x, double* y) const;
89 RightMultiply(x, y);
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| H A D | preconditioner.cc | 63 void SparseMatrixPreconditionerWrapper::RightMultiply(const double* x, function in class:ceres::internal::SparseMatrixPreconditionerWrapper
65 matrix_->RightMultiply(x, y);
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| H A D | linear_operator.h | 48 virtual void RightMultiply(const double* x, double* y) const = 0;
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| H A D | cgnr_linear_operator.h | 87 virtual void RightMultiply(const double* x, double* y) const { function in class:ceres::internal::CgnrLinearOperator
91 A_.RightMultiply(x, z_.get());
105 RightMultiply(x, y);
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| H A D | preconditioner.h | 123 // LeftMultiply and num_cols are just calls to RightMultiply and
125 // RightMultiply can be called.
126 virtual void RightMultiply(const double* x, double* y) const = 0;
128 return RightMultiply(x, y);
166 virtual void RightMultiply(const double* x, double* y) const;
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| H A D | block_jacobi_preconditioner.h | 61 virtual void RightMultiply(const double* x, double* y) const;
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| H A D | sparse_matrix.h | 70 virtual void RightMultiply(const double* x, double* y) const = 0;
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| H A D | implicit_schur_complement.h | 86 // RightMultiply (and the LeftMultiply) methods are not thread safe as
116 virtual void RightMultiply(const double* x, double* y) const;
121 RightMultiply(x, y);
157 // Temporary storage vectors used to implement RightMultiply.
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| H A D | dense_sparse_matrix_test.cc | 62 a->RightMultiply(x.data(), y_a.data());
63 b->RightMultiply(x.data(), y_b.data());
91 TEST_F(DenseSparseMatrixTest, RightMultiply) {
103 tsm->RightMultiply(a.data(), b1.data());
104 dsm->RightMultiply(a.data(), b2.data());
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| H A D | block_sparse_matrix.h | 71 virtual void RightMultiply(const double* x, double* y) const;
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| H A D | conjugate_gradients_solver.cc | 101 A->RightMultiply(x, tmp.data());
122 per_solve_options.preconditioner->RightMultiply(r.data(), z.data());
150 A->RightMultiply(p.data(), q.data());
177 A->RightMultiply(x, tmp.data());
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| H A D | dense_sparse_matrix.h | 61 virtual void RightMultiply(const double* x, double* y) const;
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| H A D | implicit_schur_complement.cc | 107 void ImplicitSchurComplement::RightMultiply(const double* x, double* y) const { function in class:ceres::internal::ImplicitSchurComplement
118 block_diagonal_EtE_inverse_->RightMultiply(tmp_e_cols_.data(),
166 // Similar to RightMultiply, use the block structure of the matrix A
187 block_diagonal_EtE_inverse_->RightMultiply(tmp_e_cols_.data(), y);
210 block_diagonal_EtE_inverse_->RightMultiply(tmp_e_cols_.data(), y2.data());
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| H A D | schur_jacobi_preconditioner.h | 74 // preconditioner.RightMultiply(x, y);
89 virtual void RightMultiply(const double* x, double* y) const;
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| H A D | visibility_based_preconditioner.h | 124 // preconditioner.RightMultiply(x, y);
140 virtual void RightMultiply(const double* x, double* y) const;
191 // RightMultiply is a const method for LinearOperators. It is
201 // Temporary vector used by RightMultiply.
216 virtual void RightMultiply(const double* x, double* y) const {} function in class:ceres::internal::VisibilityBasedPreconditioner
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| H A D | block_jacobi_preconditioner.cc | 122 void BlockJacobiPreconditioner::RightMultiply(const double* x, function in class:ceres::internal::BlockJacobiPreconditioner
135 RightMultiply(x, y);
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| H A D | block_sparse_matrix_test.cc | 77 A_->RightMultiply(x.data(), y_a.data());
78 B_->RightMultiply(x.data(), y_b.data());
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| H A D | triplet_sparse_matrix.h | 58 virtual void RightMultiply(const double* x, double* y) const;
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| H A D | compressed_row_sparse_matrix.h | 82 virtual void RightMultiply(const double* x, double* y) const;
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| H A D | low_rank_inverse_hessian.cc | 119 void LowRankInverseHessian::RightMultiply(const double* x_ptr, function in class:ceres::internal::LowRankInverseHessian
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| H A D | schur_jacobi_preconditioner.cc | 105 void SchurJacobiPreconditioner::RightMultiply(const double* x, function in class:ceres::internal::SchurJacobiPreconditioner
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| H A D | partitioned_matrix_view_test.cc | 97 A_->RightMultiply(x2.data(), y2.data());
117 A_->RightMultiply(x2.data(), y2.data());
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| H A D | dogleg_strategy.cc | 189 jacobian->RightMultiply(scaled_gradient.data(), Jg.data());
707 jacobian->RightMultiply(tmp.data(), Jb.row(0).data());
709 jacobian->RightMultiply(tmp.data(), Jb.row(1).data());
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| H A D | compressed_row_sparse_matrix_test.cc | 62 a->RightMultiply(x.data(), y_a.data());
63 b->RightMultiply(x.data(), y_b.data());
99 TEST_F(CompressedRowSparseMatrixTest, RightMultiply) {
263 matrix->RightMultiply(x.data(), y.data());
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| H A D | dense_sparse_matrix.cc | 87 void DenseSparseMatrix::RightMultiply(const double* x, double* y) const { function in class:ceres::internal::DenseSparseMatrix
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