/external/ceres-solver/internal/ceres/ |
linear_operator.h | 48 virtual void RightMultiply(const double* x, double* y) const = 0;
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preconditioner.cc | 53 void SparseMatrixPreconditionerWrapper::RightMultiply(const double* x, 55 matrix_->RightMultiply(x, y);
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low_rank_inverse_hessian.h | 85 virtual void RightMultiply(const double* x, double* y) const; 87 RightMultiply(x, y);
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cgnr_linear_operator.h | 87 virtual void RightMultiply(const double* x, double* y) const { 91 A_.RightMultiply(x, z_.get()); 105 RightMultiply(x, y);
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sparse_matrix.h | 70 virtual void RightMultiply(const double* x, double* y) const = 0;
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implicit_schur_complement.h | 85 // RightMultiply (and the LeftMultiply) methods are not thread safe as 115 virtual void RightMultiply(const double* x, double* y) const; 120 RightMultiply(x, y); 157 // Temporary storage vectors used to implement RightMultiply.
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block_jacobi_preconditioner.h | 61 virtual void RightMultiply(const double* x, double* y) const;
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preconditioner.h | 113 // LeftMultiply and num_cols are just calls to RightMultiply and 115 // RightMultiply can be called. 116 virtual void RightMultiply(const double* x, double* y) const = 0; 118 return RightMultiply(x, y); 156 virtual void RightMultiply(const double* x, double* y) const;
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schur_jacobi_preconditioner.h | 74 // preconditioner.RightMultiply(x, y); 89 virtual void RightMultiply(const double* x, double* y) const;
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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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block_sparse_matrix.h | 71 virtual void RightMultiply(const double* x, double* y) const;
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conjugate_gradients_solver.cc | 101 A->RightMultiply(x, tmp.data()); 123 per_solve_options.preconditioner->RightMultiply(r.data(), z.data()); 151 A->RightMultiply(p.data(), q.data()); 178 A->RightMultiply(x, tmp.data());
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dense_sparse_matrix.h | 61 virtual void RightMultiply(const double* x, double* y) const;
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implicit_schur_complement.cc | 110 void ImplicitSchurComplement::RightMultiply(const double* x, double* y) const { 121 block_diagonal_EtE_inverse_->RightMultiply(tmp_e_cols_.data(), 169 // Similar to RightMultiply, use the block structure of the matrix A 190 block_diagonal_EtE_inverse_->RightMultiply(tmp_e_cols_.data(), y); 213 block_diagonal_EtE_inverse_->RightMultiply(tmp_e_cols_.data(), y2.data());
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visibility_based_preconditioner.h | 123 // preconditioner.RightMultiply(x, y); 139 virtual void RightMultiply(const double* x, double* y) const; 190 // RightMultiply is a const method for LinearOperators. It is 200 // Temporary vector used by RightMultiply. 215 virtual void RightMultiply(const double* x, double* y) const {}
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block_jacobi_preconditioner.cc | 120 void BlockJacobiPreconditioner::RightMultiply(const double* x, 133 RightMultiply(x, y);
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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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compressed_row_sparse_matrix.h | 82 virtual void RightMultiply(const double* x, double* y) const;
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triplet_sparse_matrix.h | 58 virtual void RightMultiply(const double* x, double* y) const;
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compressed_row_sparse_matrix_test.cc | 59 a->RightMultiply(x.data(), y_a.data()); 60 b->RightMultiply(x.data(), y_b.data()); 88 TEST_F(CompressedRowSparseMatrixTest, RightMultiply) { 204 matrix->RightMultiply(x.data(), y.data());
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low_rank_inverse_hessian.cc | 89 void LowRankInverseHessian::RightMultiply(const double* x_ptr,
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schur_jacobi_preconditioner.cc | 115 void SchurJacobiPreconditioner::RightMultiply(const double* x,
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partitioned_matrix_view_test.cc | 98 A_->RightMultiply(x2.data(), y2.data()); 123 A_->RightMultiply(x2.data(), y2.data());
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dogleg_strategy.cc | 185 jacobian->RightMultiply(scaled_gradient.data(), Jg.data()); 699 jacobian->RightMultiply(tmp.data(), Jb.row(0).data()); 701 jacobian->RightMultiply(tmp.data(), Jb.row(1).data());
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dense_sparse_matrix.cc | 87 void DenseSparseMatrix::RightMultiply(const double* x, double* y) const {
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