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|  | matrix () | 
|  | The default constructor. Does not allocate any memory.  More... 
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|  | matrix (size_type rows, size_type columns, viennacl::context ctx=viennacl::context()) | 
|  | Creates the matrix with the given dimensions.  More... 
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|  | matrix (NumericT *ptr_to_mem, viennacl::memory_types mem_type, size_type rows, size_type cols) | 
|  | Wraps a CUDA or host buffer provided by the user.  More... 
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|  | matrix (NumericT *ptr_to_mem, viennacl::memory_types mem_type, size_type rows, size_type internal_row_count, size_type cols, size_type internal_col_count) | 
|  | Wraps a CUDA or host buffer provided by the user including padding of rows and columns.  More... 
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| template<typename LHS , typename RHS , typename OP > | 
|  | matrix (matrix_expression< LHS, RHS, OP > const &proxy) | 
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|  | matrix (identity_matrix< NumericT > const &m) | 
|  | Creates the matrix from the supplied identity matrix.  More... 
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|  | matrix (zero_matrix< NumericT > const &m) | 
|  | Creates the matrix from the supplied zero matrix.  More... 
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|  | matrix (scalar_matrix< NumericT > const &m) | 
|  | Creates the matrix from the supplied scalar matrix.  More... 
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|  | matrix (const base_type &other) | 
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|  | matrix (const self_type &other) | 
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| template<typename OtherNumericT , typename F2 > | 
| base_type & | operator= (viennacl::matrix< OtherNumericT, F2 > const &B) | 
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| template<typename OtherNumericT , typename F2 > | 
| base_type & | operator= (viennacl::matrix_range< viennacl::matrix< OtherNumericT, F2 > > const &B) | 
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| template<typename OtherNumericT , typename F2 > | 
| base_type & | operator= (viennacl::matrix_slice< viennacl::matrix< OtherNumericT, F2 > > const &B) | 
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| void | resize (size_type rows, size_type columns, bool preserve=true) | 
|  | Resizes the matrix. Existing entries can optionally be preserved.  More... 
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|  | matrix_base () | 
|  | The default constructor. Does not allocate any memory.  More... 
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|  | matrix_base (bool is_row_major) | 
|  | The layout constructor. Does not allocate any memory.  More... 
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|  | matrix_base (size_type rows, size_type columns, bool is_row_major, viennacl::context ctx=viennacl::context()) | 
|  | Creates the matrix with the given dimensions.  More... 
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|  | matrix_base (viennacl::backend::mem_handle &h, size_type mat_size1, size_type mat_start1, size_type mat_stride1, size_type mat_internal_size1, size_type mat_size2, size_type mat_start2, size_type mat_stride2, size_type mat_internal_size2, bool is_row_major) | 
|  | Constructor for creating a matrix_range or matrix_stride from some other matrix/matrix_range/matrix_stride.  More... 
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|  | matrix_base (matrix_expression< const LHS, const RHS, OP > const &proxy) | 
|  | Constructor for creating a matrix_range or matrix_stride from some other matrix/matrix_range/matrix_stride.  More... 
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|  | matrix_base (NumericT *ptr_to_mem, viennacl::memory_types mem_type, size_type mat_size1, size_type mat_start1, size_type mat_stride1, size_type mat_internal_size1, size_type mat_size2, size_type mat_start2, size_type mat_stride2, size_type mat_internal_size2, bool is_row_major) | 
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|  | matrix_base (const self_type &other) | 
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|  | matrix_base (const matrix_base< OtherNumericT, SizeT, DistanceT > &other) | 
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| self_type & | operator= (const self_type &other) | 
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| self_type & | operator= (const matrix_base< OtherNumericT, SizeT, DistanceT > &other) | 
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| self_type & | operator= (const matrix_expression< const LHS, const RHS, OP > &proxy) | 
|  | Implementation of the operation m1 = m2 @ alpha, where @ denotes either multiplication or division, and alpha is either a CPU or a GPU scalar.  More... 
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| self_type & | operator= (const matrix_expression< const self_type, const self_type, op_trans > &proxy) | 
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| self_type & | operator= (identity_matrix< NumericT > const &m) | 
|  | Assigns the supplied identity matrix to the matrix.  More... 
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| self_type & | operator= (zero_matrix< NumericT > const &m) | 
|  | Assigns the supplied zero matrix to the matrix.  More... 
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| self_type & | operator= (scalar_matrix< NumericT > const &m) | 
|  | Assigns the supplied scalar vector to the matrix.  More... 
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| self_type & | operator+= (const matrix_expression< const LHS, const RHS, OP > &proxy) | 
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| self_type & | operator+= (const self_type &other) | 
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| self_type & | operator-= (const matrix_expression< const LHS, const RHS, OP > &proxy) | 
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| self_type & | operator-= (const self_type &other) | 
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| entry_proxy< NumericT > | operator() (size_type row_index, size_type col_index) | 
|  | Read-write access to a single element of the matrix/matrix_range/matrix_slice.  More... 
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| const_entry_proxy< NumericT > | operator() (size_type row_index, size_type col_index) const | 
|  | Read access to a single element of the matrix/matrix_range/matrix_slice.  More... 
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| self_type & | operator*= (char val) | 
|  | Scales the matrix by a char (8-bit integer)  More... 
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| self_type & | operator*= (short val) | 
|  | Scales the matrix by a short integer.  More... 
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| self_type & | operator*= (int val) | 
|  | Scales the matrix by an integer.  More... 
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| self_type & | operator*= (long val) | 
|  | Scales the matrix by a long integer.  More... 
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| self_type & | operator*= (float val) | 
|  | Scales the matrix by a single precision floating point value.  More... 
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| self_type & | operator*= (double val) | 
|  | Scales the matrix by a double precision floating point value.  More... 
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| self_type & | operator/= (char val) | 
|  | Scales the matrix by a char (8-bit integer)  More... 
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| self_type & | operator/= (short val) | 
|  | Scales the matrix by a short integer.  More... 
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| self_type & | operator/= (int val) | 
|  | Scales the matrix by an integer.  More... 
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| self_type & | operator/= (long val) | 
|  | Scales the matrix by a long integer.  More... 
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| self_type & | operator/= (float val) | 
|  | Scales the matrix by a single precision floating point value.  More... 
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| self_type & | operator/= (double val) | 
|  | Scales the matrix by a double precision floating point value.  More... 
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| matrix_expression< const self_type, const NumericT,
 op_mult >
 | operator- () const | 
|  | Sign flip for the matrix. Emulated to be equivalent to -1.0 * matrix.  More... 
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| size_type | size1 () const | 
|  | Returns the number of rows.  More... 
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| size_type | size2 () const | 
|  | Returns the number of columns.  More... 
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| size_type | start1 () const | 
|  | Returns the number of rows.  More... 
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| size_type | start2 () const | 
|  | Returns the number of columns.  More... 
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| size_type | stride1 () const | 
|  | Returns the number of rows.  More... 
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| size_type | stride2 () const | 
|  | Returns the number of columns.  More... 
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| void | clear () | 
|  | Resets all entries to zero.  More... 
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| size_type | internal_size1 () const | 
|  | Returns the internal number of rows. Usually required for launching OpenCL kernels only.  More... 
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| size_type | internal_size2 () const | 
|  | Returns the internal number of columns. Usually required for launching OpenCL kernels only.  More... 
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| size_type | internal_size () const | 
|  | Returns the total amount of allocated memory in multiples of sizeof(NumericT)  More... 
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| handle_type & | handle () | 
|  | Returns the OpenCL handle, non-const-version.  More... 
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| const handle_type & | handle () const | 
|  | Returns the OpenCL handle, const-version.  More... 
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| viennacl::memory_types | memory_domain () const | 
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| bool | row_major () const | 
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| void | switch_memory_context (viennacl::context new_ctx) | 
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template<class SCALARTYPE, typename F = row_major, unsigned int ALIGNMENT = 1>
class viennacl::matrix< SCALARTYPE, F, ALIGNMENT >
A dense matrix class. 
- Template Parameters
- 
  
    | NumericT | The underlying scalar type (either float or double) |  | F | Storage layout: Either row_major or column_major |  | AlignmentV | The internal memory size is given by (size()/AlignmentV + 1) * AlignmentV. AlignmentV must be a power of two. Best values or usually 4, 8 or 16, higher values are usually a waste of memory. |  
 
- Examples: 
- blas2.cpp, blas3.cpp, custom-context.cpp, eigen-with-viennacl.cpp, fft.cpp, lanczos.cpp, least-squares.cpp, matrix-range.cpp, mtl4-with-viennacl.cpp, nmf.cpp, qr.cpp, qr_method.cpp, and tql2.cpp.
Definition at line 375 of file forwards.h.