| /external/eigen/bench/ |
| sparse_setter.cpp | 118 // eigen sparse matrices
151 std::cout << "Eigen google sparse\t" << timer.value() << "\n";
|
| /external/llvm/lib/Analysis/ |
| SparsePropagation.cpp | 1 //===- SparsePropagation.cpp - Sparse Conditional Property Propagation ----===//
10 // This file implements an abstract sparse conditional propagation algorithm,
|
| /external/v8/src/js/ |
| array.js | 86 // Gets a sorted array of array keys. Useful for operations on sparse
135 // Optimized for sparse arrays if separator is ''.
158 // Only use the sparse variant on arrays that are likely to be sparse and the
271 // special array operations to handle sparse arrays in a sensible fashion.
301 // special array operations to handle sparse arrays in a sensible fashion.
569 // For implementing reverse() on large, sparse arrays.
[all...] |
| /external/v8/test/mjsunit/ |
| array-reduce.js | 468 "reduce sparse no initial value not throwing TypeError");
480 "reduceRight sparse no initial value not throwing TypeError");
|
| /external/wpa_supplicant_8/src/utils/ |
| common.h | 417 * Definitions for sparse validation
418 * (http://kernel.org/pub/linux/kernel/people/josh/sparse/)
|
| /packages/apps/Messaging/src/com/android/messaging/datamodel/media/ |
| PoolableImageCache.java | 113 * A sparse array from bitmap size to a list of image cache entries that match the
115 * incoming ImageRequest. We need to ensure that this sparse array always contains only
|
| /prebuilts/go/darwin-x86/doc/articles/ |
| go_command.html | 193 code.google.com/p/codesearch/sparse
208 ? code.google.com/p/codesearch/sparse [no test files]
|
| /prebuilts/go/linux-x86/doc/articles/ |
| go_command.html | 193 code.google.com/p/codesearch/sparse
208 ? code.google.com/p/codesearch/sparse [no test files]
|
| /system/update_engine/ |
| metrics.cc | 155 LOG(INFO) << "Sending " << value << " for metric " << metric << " (sparse)";
313 << " for metric " << metric << " (sparse)";
|
| /dalvik/libdex/ |
| DexOpcodes.cpp | 77 "sparse-switch",
|
| /external/boringssl/src/ssl/test/ |
| test_config.cc | 100 { "-use-sparse-dh-prime", &TestConfig::use_sparse_dh_prime },
|
| /external/ceres-solver/ |
| CMakeLists.txt | 111 "Enable the use of Eigen as a sparse linear algebra library for
116 depends on the sparse QR factorization algorithm, which is licensed
249 MESSAGE(" Enabling the use of Eigen as a sparse linear algebra library ")
255 MESSAGE(" Disabling the use of Eigen as a sparse linear algebra library.")
[all...] |
| /external/ceres-solver/internal/ceres/ |
| visibility_based_preconditioner.h | 192 // implemented using CHOLMOD's sparse triangular matrix solve
|
| /external/chromium-trace/catapult/telemetry/third_party/altgraph/ |
| PKG-INFO | 115 - ``altgraph.Graph.forw_topo_sort`` failed for some sparse graphs.
|
| /external/chromium-trace/catapult/telemetry/third_party/altgraph/altgraph.egg-info/ |
| PKG-INFO | 115 - ``altgraph.Graph.forw_topo_sort`` failed for some sparse graphs.
|
| /external/deqp/external/vulkancts/framework/vulkan/ |
| vkQueryUtil.cpp | 133 TCU_FAIL("Returned sparse image properties count changes between queries");
|
| /external/eigen/Eigen/src/SparseCholesky/ |
| SimplicialCholesky_impl.h | 146 /* compute numerical values kth row of L (a sparse triangular solve) */
|
| /external/eigen/Eigen/src/SparseLU/ |
| SparseLU_SupernodalMatrix.h | 21 * and manipulate the supernodes during the factorization and solution phase of Sparse LU.
|
| /external/eigen/doc/ |
| ClassHierarchy.dox | 69 diagonal matrices, sparse matrices, etc...
|
| QuickReference.dox | 24 <tr class="alt"><td>\link Sparse_modules Sparse \endlink</td><td>\code#include <Eigen/Sparse>\endcode</td><td>%Sparse matrix storage and related basic linear algebra (SparseMatrix, DynamicSparseMatrix, SparseVector)</td></tr>
26 <tr class="alt"><td></td><td>\code#include <Eigen/Eigen>\endcode</td><td>Includes %Dense and %Sparse header files (the whole Eigen library)</td></tr>
|
| TemplateKeyword.dox | 95 for iterating over the non-zero entries of a sparse matrix type:
|
| UsingIntelMKL.dox | 64 Finally, the PARDISO sparse solver shipped with Intel MKL can be used through the \ref PardisoLU, \ref PardisoLLT and \ref PardisoLDLT classes of the \ref PardisoSupport_Module.
|
| /external/eigen/test/ |
| sparse_permutations.cpp | 10 #include "sparse.h"
|
| /external/harfbuzz_ng/src/ |
| gen-indic-table.py | 238 raise Exception ("Table too sparse, please investigate: ", occupancy)
|
| /external/icu/icu4c/source/common/ |
| propname.h | 205 * in a property's sparse value ranges.
|
