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Searched
refs:CompressedRowSparseMatrix
(Results
1 - 23
of
23
) sorted by null
/external/ceres-solver/internal/ceres/
incomplete_lq_factorization.h
66
CompressedRowSparseMatrix
* IncompleteLQFactorization(
67
const
CompressedRowSparseMatrix
& matrix,
85
CompressedRowSparseMatrix
* matrix);
compressed_row_sparse_matrix.h
49
class
CompressedRowSparseMatrix
: public SparseMatrix {
57
explicit
CompressedRowSparseMatrix
(const TripletSparseMatrix& m);
70
CompressedRowSparseMatrix
(int num_rows,
76
CompressedRowSparseMatrix
(const double* diagonal, int num_rows);
78
virtual ~
CompressedRowSparseMatrix
();
101
void AppendRows(const
CompressedRowSparseMatrix
& m);
125
CompressedRowSparseMatrix
* Transpose() const;
127
static
CompressedRowSparseMatrix
* CreateBlockDiagonalMatrix(
146
CERES_DISALLOW_COPY_AND_ASSIGN(
CompressedRowSparseMatrix
);
sparse_normal_cholesky_solver.h
47
class
CompressedRowSparseMatrix
;
58
CompressedRowSparseMatrix
* A,
64
CompressedRowSparseMatrix
* A,
71
CompressedRowSparseMatrix
* A,
compressed_row_sparse_matrix.cc
70
// This constructor gives you a semi-initialized
CompressedRowSparseMatrix
.
71
CompressedRowSparseMatrix
::
CompressedRowSparseMatrix
(int num_rows,
89
CompressedRowSparseMatrix
::
CompressedRowSparseMatrix
(
133
CompressedRowSparseMatrix
::
CompressedRowSparseMatrix
(const double* diagonal,
153
CompressedRowSparseMatrix
::~
CompressedRowSparseMatrix
() {
156
void
CompressedRowSparseMatrix
::SetZero()
[
all
...]
block_random_access_crs_matrix.h
81
const
CompressedRowSparseMatrix
* matrix() const { return crsm_.get(); }
82
CompressedRowSparseMatrix
* mutable_matrix() { return crsm_.get(); }
100
scoped_ptr<
CompressedRowSparseMatrix
> crsm_;
covariance_impl.h
47
class
CompressedRowSparseMatrix
;
71
const
CompressedRowSparseMatrix
* covariance_matrix() const {
83
scoped_ptr<
CompressedRowSparseMatrix
> covariance_matrix_;
cxsparse.h
43
class
CompressedRowSparseMatrix
;
67
cs_di CreateSparseMatrixTransposeView(
CompressedRowSparseMatrix
* A);
incomplete_lq_factorization.cc
45
inline double NormalizeRow(const int row,
CompressedRowSparseMatrix
* matrix) {
65
inline double RowDotProduct(const
CompressedRowSparseMatrix
& a,
67
const
CompressedRowSparseMatrix
& b,
118
CompressedRowSparseMatrix
* matrix) {
164
CompressedRowSparseMatrix
* IncompleteLQFactorization(
165
const
CompressedRowSparseMatrix
& matrix,
176
CompressedRowSparseMatrix
* l =
177
new
CompressedRowSparseMatrix
(num_rows,
182
CompressedRowSparseMatrix
q(num_rows, num_cols, q_level_of_fill * num_rows);
compressed_row_sparse_matrix_test.cc
75
crsm.reset(new
CompressedRowSparseMatrix
(*tsm));
85
scoped_ptr<
CompressedRowSparseMatrix
> crsm;
142
CompressedRowSparseMatrix
crsm_appendage(tsm_appendage);
178
TEST(
CompressedRowSparseMatrix
, CreateBlockDiagonalMatrix) {
189
scoped_ptr<
CompressedRowSparseMatrix
> matrix(
190
CompressedRowSparseMatrix
::CreateBlockDiagonalMatrix(
223
matrix_.reset(new
CompressedRowSparseMatrix
(4, 4, 7));
253
scoped_ptr<
CompressedRowSparseMatrix
> matrix_;
275
TEST(
CompressedRowSparseMatrix
, Transpose) {
282
CompressedRowSparseMatrix
matrix(5, 6, 30)
[
all
...]
incomplete_lq_factorization_test.cc
42
void ExpectMatricesAreEqual(const
CompressedRowSparseMatrix
& expected,
43
const
CompressedRowSparseMatrix
& actual,
58
CompressedRowSparseMatrix
matrix(1, 1, 1);
64
scoped_ptr<
CompressedRowSparseMatrix
> l(
83
CompressedRowSparseMatrix
matrix(10, 10, 100);
102
scoped_ptr<
CompressedRowSparseMatrix
> lmatrix(
122
CompressedRowSparseMatrix
matrix(10, 10, 100);
sparse_normal_cholesky_solver.cc
76
CompressedRowSparseMatrix
* A,
97
CompressedRowSparseMatrix
* A,
112
CompressedRowSparseMatrix
D(per_solve_options.D, num_cols);
164
CompressedRowSparseMatrix
* A,
177
CompressedRowSparseMatrix
* A,
191
CompressedRowSparseMatrix
D(per_solve_options.D, num_cols);
239
CompressedRowSparseMatrix
* A,
compressed_row_jacobian_writer.cc
68
CompressedRowSparseMatrix
* jacobian =
69
new
CompressedRowSparseMatrix
(
159
CompressedRowSparseMatrix
* jacobian =
160
down_cast<
CompressedRowSparseMatrix
*>(base_jacobian);
171
// copying them into the
CompressedRowSparseMatrix
. Just because a cost
suitesparse.h
73
class
CompressedRowSparseMatrix
;
98
cholmod_sparse CreateSparseMatrixTransposeView(
CompressedRowSparseMatrix
* A);
preconditioner.h
146
typedef TypedPreconditioner<
CompressedRowSparseMatrix
> CompressedRowSparseMatrixPreconditioner; // NOLINT
unsymmetric_linear_solver_test.cc
74
CompressedRowSparseMatrix
* crsm = new
CompressedRowSparseMatrix
(*A_);
linear_solver.h
322
typedef TypedLinearSolver<
CompressedRowSparseMatrix
> CompressedRowSparseMatrixSolver; // NOLINT
block_random_access_crs_matrix.cc
80
crsm_.reset(new
CompressedRowSparseMatrix
(num_cols, num_cols, num_nonzeros));
block_random_access_crs_matrix_test.cc
89
const
CompressedRowSparseMatrix
* crsm = m.matrix();
cxsparse.cc
164
cs_di CXSparse::CreateSparseMatrixTransposeView(
CompressedRowSparseMatrix
* A) {
problem_impl.cc
648
scoped_ptr<
CompressedRowSparseMatrix
> tmp_jacobian;
651
down_cast<
CompressedRowSparseMatrix
*>(evaluator->CreateJacobian()));
suitesparse.cc
92
CompressedRowSparseMatrix
* A) {
covariance_impl.cc
328
// blocks as they will occur in the
CompressedRowSparseMatrix
that
334
new
CompressedRowSparseMatrix
(num_rows, num_rows, num_nonzeros));
covariance_test.cc
101
const
CompressedRowSparseMatrix
* crsm = covariance_impl.covariance_matrix();
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