| /external/e2fsprogs/tests/f_big_sparse/ |
| name | 1 big sparse file
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| /external/eigen/Eigen/ |
| Eigen | 2 //#include "Sparse"
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| Sparse | 4 /** \defgroup Sparse_modules Sparse modules
13 * #include <Eigen/Sparse>
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| SparseCore | 17 * This module provides a sparse matrix representation, and basic associatd matrix manipulations
20 * See the \ref TutorialSparse "Sparse tutorial"
31 /** The type used to identify a general sparse storage. */
32 struct Sparse {};
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| /dalvik/tests/015-switch/ |
| expected.txt | 9 CORRECT big sparse / first
10 CORRECT big sparse / last
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| /system/core/libsparse/include/sparse/ |
| sparse.h | 26 * sparse_file_new - create a new sparse file cookie
29 * @len - size of the expanded sparse file.
36 * Returns the sparse file cookie, or NULL on error.
41 * sparse_file_destroy - destroy a sparse file cookie
43 * @s - sparse file cookie
45 * Destroys a sparse file cookie. After destroy, all memory passed in to
51 * sparse_file_add_data - associate a data chunk with a sparse file
53 * @s - sparse file cookie
56 * @block - offset in blocks into the sparse file to place the data chunk
58 * Associates a data chunk with a sparse file cookie. The regio
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| /external/eigen/Eigen/src/SparseCore/ |
| SparseTranspose.h | 15 template<typename MatrixType> class TransposeImpl<MatrixType,Sparse>
29 // NOTE: VC10 trigger an ICE if don't put typename TransposeImpl<MatrixType,Sparse>:: in front of Index,
30 // a typedef typename TransposeImpl<MatrixType,Sparse>::Index Index;
33 template<typename MatrixType> class TransposeImpl<MatrixType,Sparse>::InnerIterator
39 EIGEN_STRONG_INLINE InnerIterator(const TransposeImpl& trans, typename TransposeImpl<MatrixType,Sparse>::Index outer)
42 inline typename TransposeImpl<MatrixType,Sparse>::Index row() const { return Base::col(); }
43 inline typename TransposeImpl<MatrixType,Sparse>::Index col() const { return Base::row(); }
46 template<typename MatrixType> class TransposeImpl<MatrixType,Sparse>::ReverseInnerIterator
52 EIGEN_STRONG_INLINE ReverseInnerIterator(const TransposeImpl& xpr, typename TransposeImpl<MatrixType,Sparse>::Index outer)
55 inline typename TransposeImpl<MatrixType,Sparse>::Index row() const { return Base::col();
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| SparseCwiseBinaryOp.h | 16 // 1 - sparse op dense
17 // 2 - dense op sparse
18 // 3 - sparse op sparse
23 // 1 - sparse op dense product sparse
25 // 2 - dense op sparse product sparse
27 // 3 - sparse op sparse product spars
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| SparseCwiseUnaryOp.h | 16 class CwiseUnaryOpImpl<UnaryOp,MatrixType,Sparse>
34 class CwiseUnaryOpImpl<UnaryOp,MatrixType,Sparse>::InnerIterator
35 : public CwiseUnaryOpImpl<UnaryOp,MatrixType,Sparse>::MatrixTypeIterator
38 typedef typename CwiseUnaryOpImpl<UnaryOp,MatrixType,Sparse>::MatrixTypeIterator Base;
57 class CwiseUnaryOpImpl<UnaryOp,MatrixType,Sparse>::ReverseInnerIterator
58 : public CwiseUnaryOpImpl<UnaryOp,MatrixType,Sparse>::MatrixTypeReverseIterator
61 typedef typename CwiseUnaryOpImpl<UnaryOp,MatrixType,Sparse>::MatrixTypeReverseIterator Base;
80 class CwiseUnaryViewImpl<ViewOp,MatrixType,Sparse>
98 class CwiseUnaryViewImpl<ViewOp,MatrixType,Sparse>::InnerIterator
99 : public CwiseUnaryViewImpl<ViewOp,MatrixType,Sparse>::MatrixTypeIterato
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| /dalvik/vm/mterp/c/ |
| OP_SPARSE_SWITCH.cpp | 9 ILOGV("|sparse-switch v%d +0x%04x", vsrc1, offset);
17 dvmThrowInternalError("bad sparse switch");
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| /system/core/libsparse/ |
| output_file.h | 20 #include <sparse/sparse.h>
25 int gz, int sparse, int chunks, int crc);
27 void *priv, unsigned int block_size, int64_t len, int gz, int sparse,
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| simg2simg.c | 31 #include <sparse/sparse.h>
39 fprintf(stderr, "Usage: simg2simg <sparse image file> <sparse_image_file> <max_size>\n");
69 fprintf(stderr, "Failed to import sparse file\n");
81 fprintf(stderr, "Failed to allocate sparse file array\n");
106 fprintf(stderr, "Failed to write sparse file\n");
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| sparse_err.c | 17 #include <sparse/sparse.h>
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| sparse_file.h | 20 #include <sparse/sparse.h>
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| sparse.c | 20 #include <sparse/sparse.h>
151 int sparse_file_write(struct sparse_file *s, int fd, bool gz, bool sparse,
159 out = output_file_open_fd(fd, s->block_size, s->len, gz, sparse, chunks, crc);
171 int sparse_file_callback(struct sparse_file *s, bool sparse, bool crc,
180 sparse, chunks, crc);
199 int64_t sparse_file_len(struct sparse_file *s, bool sparse, bool crc)
207 s->block_size, s->len, false, sparse, chunks, crc);
234 * overhead is sparse file header, initial skip chunk, split chunk, end
255 * requested size, split the chunk. Results in sparse files tha
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| /dalvik/vm/mterp/x86/ |
| OP_PACKED_SWITCH.S | 4 * Handle a packed-switch or sparse-switch instruction. In both cases
10 * for: packed-switch, sparse-switch
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| /external/eigen/unsupported/Eigen/ |
| SparseExtra | 4 #include "../../Eigen/Sparse"
23 * This module contains some experimental features extending the sparse module.
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| /external/smali/smali/src/test/resources/LexerTest/ |
| DirectiveTest.smali | 21 .sparse-switch
22 .end sparse-switch
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| /external/llvm/test/YAMLParser/ |
| construct-null.data | 15 sparse:
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| /external/chromium/net/disk_cache/ |
| sparse_control.h | 28 // This class provides support for the sparse capabilities of the disk cache.
29 // Basically, sparse IO is directed from EntryImpl to this class, and we split
32 // used directly for sparse operations (the entry passed in to the constructor).
47 // sparse data, or can be used to do it, it updates the relevant information
51 // Performs a quick test to see if the entry is sparse or not, without
55 // Performs an actual sparse read or write operation for this entry. |op| is
56 // the operation to perform, |offset| is the desired sparse offset, |buf| and
67 // Cancels the current sparse operation (if any).
79 // Creates a new sparse entry or opens an aready created entry from disk.
124 // Initializes the sparse info for the current child
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| mem_entry_impl.h | 21 // types of entries, parent and child to support sparse caching.
23 // A parent entry is non-sparse until a sparse method is invoked (i.e.
24 // ReadSparseData, WriteSparseData, GetAvailableRange) when sparse information
26 // sparse API calls to the child entries. It creates and deletes child entries
29 // A child entry is used to carry partial cache content, non-sparse methods like
36 // A sparse entry has a fixed maximum size and can be partially filled. There
37 // can only be one continous filled region in a sparse entry, as illustrated by
44 // region. The book keeping for filled region in a sparse entry is done by using
142 // Initializes the children map and sparse info. This method is only calle
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| /external/ceres-solver/internal/ceres/ |
| sparse_matrix.h | 31 // Interface definition for sparse matrices.
47 // sparse matrices. The key property that differentiates different
48 // sparse matrices is how they are organized in memory and how the
54 // sparse matrix will have a two part representation. A values array
55 // that will be used to store the entries of the sparse matrix and
63 // the structure of the sparse matrix as that seems to be highly
65 // with an efficient high level interface that spans multiple sparse
86 // sparse matrix.
90 // Dump the sparse matrix to a proto. Destroys the contents of proto.
96 // sparse matrix
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| /external/eigen/Eigen/src/CholmodSupport/ |
| CholmodSupport.h | 48 /** Wraps the Eigen sparse matrix \a mat into a Cholmod sparse matrix object.
100 /** Returns a view of the Eigen sparse matrix \a mat as Cholmod sparse matrix.
134 /** Returns a view of the Cholmod sparse matrix \a cm as an Eigen sparse matrix.
204 /** Computes the sparse Cholesky decomposition of \a matrix */
311 // note: cs stands for Cholmod Sparse
341 * This class allows to solve for A.X = B sparse linear problems via a simplicial LL^T Cholesky factorization
344 * The sparse matrix A must be selfajoint and positive definite. The vectors or matrice
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| /external/e2fsprogs/contrib/ |
| make-sparse.c | 2 * make-sparse.c --- make a sparse file from stdin
55 fprintf(stderr, "Usage: make-sparse out-file\n");
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| /external/e2fsprogs/lib/ext2fs/ |
| sparse.c | 2 * sparse.c --- find the groups in an ext2 filesystem with metadata backups
47 * calling this for the first time. In a sparse filesystem it will be the
49 * For a non-sparse filesystem it will be every group: 1, 2, 3, 4, ...
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