/ndk/sources/cxx-stl/llvm-libc++/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, "");
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/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;
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TutorialLinAlgRankRevealing.cpp | 15 cout << "The rank of A is " << lu_decomp.rank() << endl;
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/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++);
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/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...] |
/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...] |
/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/Eigen/src/misc/ |
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; \
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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; \
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/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());
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/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/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...] |
/packages/apps/Launcher2/src/com/android/launcher2/ |
Hotseat.java | 86 int getCellXFromOrder(int rank) { 87 return hasVerticalHotseat() ? 0 : rank; 89 int getCellYFromOrder(int rank) { 90 return hasVerticalHotseat() ? (mContent.getCountY() - (rank + 1)) : 0; 92 public boolean isAllAppsButtonRank(int rank) { 93 return rank == mAllAppsButtonRank;
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/external/eigen/Eigen/src/QR/ |
HouseholderQR.h | 34 * Note that no pivoting is performed. This is \b not a rank-revealing decomposition. 289 const Index rank = (std::min)(rows, cols); local 296 dec().matrixQR().leftCols(rank), 297 dec().hCoeffs().head(rank)).transpose() 301 .topLeftCorner(rank, rank) 303 .solveInPlace(c.topRows(rank)); 305 dst.topRows(rank) = c.topRows(rank); 306 dst.bottomRows(cols-rank).setZero() [all...] |
FullPivHouseholderQR.h | 32 * \brief Householder rank-revealing QR decomposition of a matrix with full pivoting 36 * This class performs a rank-revealing QR decomposition of a matrix \b A into matrices \b P, \b Q and \b R 44 * This decomposition performs a very prudent full pivoting in order to be rank-revealing and achieve optimal 196 /** \returns the rank of the matrix of which *this is the QR decomposition. 202 inline Index rank() const function in class:Eigen::FullPivHouseholderQR 221 return cols() - rank(); 234 return rank() == cols(); 247 return rank() == rows(); 279 /** Allows to prescribe a threshold to be used by certain methods, such as rank(), 317 /** Returns the threshold that will be used by certain methods such as rank() [all...] |
/libcore/dalvik/src/main/java/dalvik/system/profiler/ |
AsciiHprofWriter.java | 73 out.printf("rank self accum count trace method\n"); 74 int rank = 0; local 77 rank++; 85 rank, self*100, accum*100, count, stackTrace.stackTraceId,
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/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...] |
/external/eigen/Eigen/src/Geometry/ |
Umeyama.h | 143 Index rank = 0; for (Index i=0; i<m; ++i) if (!internal::isMuchSmallerThan(d.coeff(i),d.coeff(0))) ++rank; local 144 if (rank == m-1) {
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/external/antlr/antlr-3.4/tool/src/main/resources/org/antlr/tool/templates/dot/ |
dot.stg | 52 {rank=same; rankdir=TB; <states; separator="; ">}
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/prebuilts/gcc/linux-x86/host/i686-linux-glibc2.7-4.4.3/i686-linux/include/c++/4.4.3/parallel/ |
multiseq_selection.h | 26 * @brief Functions to find elements of a certain global rank in 105 * @brief Splits several sorted sequences at a certain global rank, 113 * @param rank The global rank to partition at. 124 RankType rank, 154 if (rank == N) 164 _GLIBCXX_PARALLEL_ASSERT(rank >= 0); 165 _GLIBCXX_PARALLEL_ASSERT(rank < N); 210 difference_type localrank = rank / l; 262 difference_type skew = rank / (n + 1) - leftsize [all...] |
/external/chromium/chrome/browser/history/ |
top_sites_backend.cc | 125 db_->SetPageThumbnail(delta.added[i].url, delta.added[i].rank, Images()); 128 db_->UpdatePageRank(delta.moved[i].url, delta.moved[i].rank);
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/dalvik/vm/compiler/ |
InlineTransformation.cpp | 27 int rank = calleeRegId - local 29 assert(rank >= 0); 31 return invoke->arg[rank]; 33 return invoke->vC + rank;
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