| /external/antlr/antlr-3.4/tool/src/main/resources/org/antlr/tool/templates/dot/ |
| decision-rank.st | 0 {rank=same; rankdir=TB; <states; separator="; ">}
|
| /external/eigen/doc/examples/ |
| TutorialLinAlgSetThreshold.cpp | 13 cout << "By default, the rank of A is found to be " << lu.rank() << endl;
15 cout << "With threshold 1e-5, the rank of A is found to be " << lu.rank() << endl;
|
| TutorialLinAlgRankRevealing.cpp | 15 cout << "The rank of A is " << lu_decomp.rank() << endl;
|
| /external/guava/guava/src/com/google/common/collect/ |
| ExplicitOrdering.java | 40 return rank(left) - rank(right); // safe because both are nonnegative
43 private int rank(T value) { method in class:ExplicitOrdering
44 Integer rank = rankMap.get(value); local
45 if (rank == null) {
48 return rank;
54 int rank = 0; local
56 builder.put(value, rank++);
|
| /external/chromium_org/third_party/mesa/src/src/gallium/drivers/llvmpipe/ |
| lp_fence.c | 38 * The rank will be the number of bins in the scene. Whenever a rendering
40 * the counter == the rank, the fence is finished.
42 * \param rank the expected finished value of the fence counter.
45 lp_fence_create(unsigned rank)
59 fence->rank = rank;
83 * When the counter == the rank, the fence is finished.
94 assert(fence->count <= fence->rank);
97 debug_printf("%s count=%u rank=%u\n", __FUNCTION__,
98 fence->count, fence->rank);
[all...] |
| /external/mesa3d/src/gallium/drivers/llvmpipe/ |
| lp_fence.c | 38 * The rank will be the number of bins in the scene. Whenever a rendering
40 * the counter == the rank, the fence is finished.
42 * \param rank the expected finished value of the fence counter.
45 lp_fence_create(unsigned rank)
59 fence->rank = rank;
83 * When the counter == the rank, the fence is finished.
94 assert(fence->count <= fence->rank);
97 debug_printf("%s count=%u rank=%u\n", __FUNCTION__,
98 fence->count, fence->rank);
[all...] |
| /external/chromium_org/third_party/tcmalloc/vendor/doc/ |
| overview.dot | 4 {rank=same
|
| /ndk/sources/cxx-stl/llvm-libc++/libcxx/test/utilities/meta/meta.unary.prop.query/ |
| rank.pass.cpp | 12 // rank
19 static_assert( std::rank<T>::value == A, "");
20 static_assert( std::rank<const T>::value == A, "");
21 static_assert( std::rank<volatile T>::value == A, "");
22 static_assert( std::rank<const volatile T>::value == A, "");
|
| /external/chromium_org/chrome/common/extensions/ |
| manifest.cc | 26 // Rank extension locations in a way that allows
29 // with the higher rank, as returned by this function. The actual
33 int rank = kInvalidRank; // Will CHECK that rank is not kInvalidRank. local
38 rank = 7;
44 rank = 6;
51 rank = 5;
55 rank = 4;
61 rank = 3;
65 rank = 2
[all...] |
| /external/eigen/test/eigen2/ |
| eigen2_lu.cpp | 42 int rank = ei_random<int>(1, std::min(rows, cols)-1); local
47 for(int i = rank; i < rows; i++) m1.row(i).setZero();
49 for(int i = rank; i < cols; i++) m1.col(i).setZero();
56 VERIFY(rank == lu.rank());
57 VERIFY(cols - lu.rank() == lu.dimensionOfKernel());
60 VERIFY(lu.isSurjective() == (lu.rank() == rows));
62 VERIFY(m1image.lu().rank() == rank);
65 VERIFY(sidebyside.lu().rank() == rank)
[all...] |
| /external/eigen/test/ |
| qr_colpivoting.cpp | 19 Index rank = internal::random<Index>(1, (std::min)(rows, cols)-1); local
26 createRandomPIMatrixOfRank(rank,rows,cols,m1);
28 VERIFY(rank == qr.rank());
29 VERIFY(cols - qr.rank() == qr.dimensionOfKernel());
52 int rank = internal::random<int>(1, (std::min)(int(Rows), int(Cols))-1); local
54 createRandomPIMatrixOfRank(rank,Rows,Cols,m1);
56 VERIFY(rank == qr.rank());
57 VERIFY(Cols - qr.rank() == qr.dimensionOfKernel())
[all...] |
| lu.cpp | 52 Index rank = internal::random<Index>(1, (std::min)(rows, cols)-1); local
59 createRandomPIMatrixOfRank(rank, rows, cols, m1);
63 // The special value 0.01 below works well in tests. Keep in mind that we're only computing the rank
81 VERIFY(rank == lu.rank());
82 VERIFY(cols - lu.rank() == lu.dimensionOfKernel());
87 VERIFY(m1image.fullPivLu().rank() == rank);
118 VERIFY(size == lu.rank());
159 VERIFY_RAISES_ASSERT(lu.rank())
[all...] |
| qr_fullpivoting.cpp | 19 Index rank = internal::random<Index>(1, (std::min)(rows, cols)-1); local
25 createRandomPIMatrixOfRank(rank,rows,cols,m1);
27 VERIFY(rank == qr.rank());
28 VERIFY(cols - qr.rank() == qr.dimensionOfKernel());
|
| /external/ceres-solver/include/ceres/ |
| covariance.h | 81 // that J(x*) has full column rank.
83 // If J(x*) is rank deficient, then the covariance matrix C(x*) is
84 // also rank deficient and is given by
124 // Rank of the Jacobian
126 // As we noted above, if the jacobian is rank deficient, then the
130 // The rank deficiency in J can be structural -- columns which are
134 // Structural rank deficiency occurs when the problem contains
136 // structural rank deficiency like that.
138 // Numerical rank deficiency, where the rank of the matrix cannot b
[all...] |
| /external/marisa-trie/lib/marisa/ |
| bitvector.cc | 160 Vector<Rank> ranks;
344 const Rank &rank = ranks_[i / 512]; local
345 UInt32 offset = rank.abs();
348 offset += rank.rel1();
352 offset += rank.rel2();
356 offset += rank.rel3();
360 offset += rank.rel4();
364 offset += rank.rel5();
368 offset += rank.rel6()
413 const Rank &rank = ranks_[rank_id]; local
497 const Rank &rank = ranks_[rank_id]; local
[all...] |
| rank.h | 8 class Rank {
10 Rank() : abs_(0), rel_lo_(0), rel_hi_(0) {}
|
| /external/marisa-trie/v0_1_5/lib/marisa_alpha/ |
| bitvector.cc | 160 Vector<Rank> ranks;
344 const Rank &rank = ranks_[i / 512]; local
345 UInt32 offset = rank.abs();
348 offset += rank.rel1();
352 offset += rank.rel2();
356 offset += rank.rel3();
360 offset += rank.rel4();
364 offset += rank.rel5();
368 offset += rank.rel6()
414 const Rank &rank = ranks_[rank_id]; local
499 const Rank &rank = ranks_[rank_id]; local
[all...] |
| rank.h | 8 class Rank {
10 Rank() : abs_(0), rel_lo_(0), rel_hi_(0) {}
|
| /external/marisa-trie/tests/ |
| unit-test.cc | 6 #include <marisa/rank.h>
85 marisa::Rank rank; local
87 ASSERT(rank.abs() == 0);
88 ASSERT(rank.rel1() == 0);
89 ASSERT(rank.rel2() == 0);
90 ASSERT(rank.rel3() == 0);
91 ASSERT(rank.rel4() == 0);
92 ASSERT(rank.rel5() == 0);
93 ASSERT(rank.rel6() == 0)
[all...] |
| /external/marisa-trie/v0_1_5/tests/ |
| unit-test.cc | 6 #include <marisa_alpha/rank.h>
87 marisa_alpha::Rank rank; local
89 ASSERT(rank.abs() == 0);
90 ASSERT(rank.rel1() == 0);
91 ASSERT(rank.rel2() == 0);
92 ASSERT(rank.rel3() == 0);
93 ASSERT(rank.rel4() == 0);
94 ASSERT(rank.rel5() == 0);
95 ASSERT(rank.rel6() == 0)
[all...] |
| /external/eigen/Eigen/src/misc/ |
| Image.h | 28 Dynamic, // we don't know at compile time the dimension of the image (the rank)
44 : m_dec(dec), m_rank(dec.rank()),
51 inline Index rank() const { return m_rank; } function in struct:Eigen::internal::image_retval_base
76 using Base::rank; \
|
| Kernel.h | 46 m_rank(dec.rank()),
52 inline Index rank() const { return m_rank; } function in struct:Eigen::internal::kernel_retval_base
74 using Base::rank; \
|
| /external/eigen/bench/btl/data/ |
| action_settings.txt | 17 syr2 ; "{/*1.5 symmretric rank-2 update (A += u^T v + u v^T)}" ; "matrix size" ; 4:3000
18 ger ; "{/*1.5 general rank-1 update (A += u v^T)}" ; "matrix size" ; 4:3000
|
| /external/eigen/Eigen/src/LU/ |
| FullPivLU.h | 25 * are permutation matrices. This is a rank-revealing LU decomposition. The eigenvalues (diagonal
29 * the rank, invertibility, inverse, kernel, and determinant.
114 * \sa rank()
237 /** Allows to prescribe a threshold to be used by certain methods, such as rank(),
275 /** Returns the threshold that will be used by certain methods such as rank().
288 /** \returns the rank of the matrix of which *this is the LU decomposition.
294 inline Index rank() const function in class:Eigen::FullPivLU
313 return cols() - rank();
326 return rank() == cols();
339 return rank() == rows()
[all...] |
| /external/eigen/unsupported/Eigen/src/NonLinearOptimization/ |
| lmpar.h | 37 /* jacobian is rank-deficient, obtain a least squares solution. */
68 /* if the jacobian is not rank deficient, the newton */
192 /* jacobian is rank-deficient, obtain a least squares solution. */
194 // const Index rank = qr.nonzeroPivots(); // exactly double(0.)
195 const Index rank = qr.rank(); // use a threshold local
197 wa1.tail(n-rank).setZero();
198 qr.matrixQR().topLeftCorner(rank, rank).template triangularView<Upper>().solveInPlace(wa1.head(rank));
[all...] |
