 accelerator_tag | A tag identifying OpenCL devices as accelerators (e.g. Intel Xeon Phi) |
 advanced_cuthill_mckee_tag | Tag for the advanced Cuthill-McKee algorithm (i.e. running the 'standard' Cuthill-McKee algorithm for a couple of different seeds) |
 alignment< T > | Retrieves the alignment from a vector. Deprecated - will be replaced by a pure runtime facility in the future |
 ambm_config | Configuration struct for generating OpenCL kernels for linear combinations of matrices |
 amg_nonzero_scalar< InternalType, IteratorType, ScalarType > | A class for a scalar that can be written to the sparse matrix or sparse vector datatypes |
 amg_point | A class for the AMG points. Saves point index and influence measure Holds information whether point is undecided, C or F point. Holds lists of points that are influenced by or influencing this point |
 amg_pointvector | A class for the AMG points. Holds pointers of type amg_point in a vector that can be accessed using [point-index]. Additional list of pointers sorted by influence number and index to improve coarsening performance (see amg_coarse_classic_onepass() in amg_coarse.hpp) Constructs indices for C points on the coarse level, needed for interpolation |
 amg_precond< MatrixType > | AMG preconditioner class, can be supplied to solve()-routines |
 amg_precond< compressed_matrix< ScalarType, MAT_ALIGNMENT > > | AMG preconditioner class, can be supplied to solve()-routines |
 amg_slicing< InternalType1, InternalType2 > | A class for the matrix slicing for parallel coarsening schemes (RS0/RS3) |
 amg_sparsematrix< ScalarType > | A class for the sparse matrix type. Uses vector of maps as data structure for higher performance and lower memory usage. Uses similar interface as ublas::compressed_matrix. Can deal with transposed of matrix internally: Creation, Storage, Iterators, etc |
 amg_sparsevector< ScalarType > | A class for the sparse vector type |
 amg_sparsevector< amg_point * > | |
 amg_sparsevector_iterator< InternalType > | Defines an iterator for the sparse vector type |
 amg_tag | A tag for algebraic multigrid (AMG). Used to transport information from the user to the implementation |
 array_deleter< U > | Helper struct for deleting an pointer to an array |
 asbs_config | Configuration struct for generating OpenCL kernels for linear combinations of viennacl::scalar<> objects |
 aux | Interface for the reference counter inside the shared_ptr |
  auximpl< U, Deleter > | Implementation helper for the reference counting mechanism inside shared_ptr |
 avbv_config | Configuration struct for generating OpenCL kernels for linear combinations of vectors |
 backend< dummy > | A backend that provides contexts for ViennaCL objects (vector, matrix, etc.) |
 basic_range< SizeType, DistanceType > | A range class that refers to an interval [start, stop), where 'start' is included, and 'stop' is excluded |
 basic_slice< SizeType, DistanceType > | A slice class that refers to an interval [start, stop), where 'start' is included, and 'stop' is excluded |
 bicgstab_tag | A tag for the stabilized Bi-conjugate gradient solver. Used for supplying solver parameters and for dispatching the solve() function |
 block_ilu_precond< MatrixType, ILUTag > | A block ILU preconditioner class, can be supplied to solve()-routines |
 block_ilu_precond< compressed_matrix< ScalarType, MAT_ALIGNMENT >, ILUTag > | ILUT preconditioner class, can be supplied to solve()-routines |
 block_matrix | Represents a contigious matrices on GPU |
 block_vector | Represents a contigious vector on GPU |
 cg_tag | A tag for the conjugate gradient Used for supplying solver parameters and for dispatching the solve() function |
 CHECK_SCALAR_TEMPLATE_ARGUMENT< T > | A guard that checks whether the floating point type of GPU types is either float or double |
 circulant_matrix< SCALARTYPE, ALIGNMENT > | A Circulant matrix class |
 cl_type< T > | Metafunction for deducing the OpenCL type for a numeric type, e.g. float -> cl_float |
 classcomp | Comparison class for the sorted set of points in amg_pointvector. Set is sorted by influence measure from lower to higher with the point-index as tie-breaker |
 code_generator | Class for handling code generation |
 col_iteration | A tag indicating iteration along increasing columns index of a matrix |
 column_major | A tag for column-major storage of a dense matrix |
 column_major_tag | Tag class for indicating column-major layout of a matrix. Not passed to the matrix directly, see row_major type |
 command_queue | A class representing a command queue |
 CompareSecond | Helper functor for comparing std::pair<> based on the second member |
 compressed_compressed_matrix< SCALARTYPE > | A sparse square matrix in compressed sparse rows format optimized for the case that only a few rows carry nonzero entries |
 compressed_compressed_matrix< NumericT > | Main kernel class for generating OpenCL kernels for compressed_compressed_matrix |
 compressed_matrix< SCALARTYPE, ALIGNMENT > | A sparse square matrix in compressed sparse rows format |
 compressed_matrix< NumericT > | Main kernel class for generating OpenCL kernels for compressed_matrix |
 compressed_matrix< double > | |
 compressed_matrix< float > | |
 compressed_matrix< ScalarType > | |
 compressed_matrix< ScalarType, MAT_ALIGNMENT > | |
 const_entry_proxy< SCALARTYPE > | A proxy class for a single element of a vector or matrix. This proxy should not be noticed by end-users of the library |
 CONST_REMOVER< T > | Removes the const qualifier from a type |
 const_sparse_matrix_adapted_iterator< SCALARTYPE, SizeType, is_iterator1, is_forward > | A const iterator for sparse matrices of type std::vector<std::map<SizeType, SCALARTYPE> > |
 const_sparse_matrix_adapter< SCALARTYPE, SizeType > | Adapts a constant sparse matrix type made up from std::vector<std::map<SizeType, SCALARTYPE> > to basic ublas-compatibility |
  sparse_matrix_adapter< SCALARTYPE, SizeType > | Adapts a non-const sparse matrix type made up from std::vector<std::map<SizeType, SCALARTYPE> > to basic ublas-compatibility |
 const_vector_iterator< SCALARTYPE, ALIGNMENT > | A STL-type const-iterator for vector elements. Elements can be accessed, but cannot be manipulated. VERY SLOW!! |
  vector_iterator< SCALARTYPE, ALIGNMENT > | A STL-type iterator for vector elements. Elements can be accessed and manipulated. VERY SLOW!! |
 context | Manages an OpenCL context and provides the respective convenience functions for creating buffers, etc |
 context | Represents a generic 'context' similar to an OpenCL context, but is backend-agnostic and thus also suitable for CUDA and OpenMP |
 convert_to_opencl< T > | Helper struct for converting a type to its OpenCL pendant |
 coordinate_matrix< SCALARTYPE, ALIGNMENT > | A sparse square matrix, where entries are stored as triplets (i,j, val), where i and j are the row and column indices and val denotes the entry |
 coordinate_matrix< NumericT > | Main kernel class for generating OpenCL kernels for coordinate_matrix |
 coordinate_matrix< double > | |
 coordinate_matrix< float > | |
 count | Reference counting class for the shared_ptr implementation |
 CPU_SCALAR_TYPE_DEDUCER< T > | Obtain the cpu scalar type from a type, including a GPU type like viennacl::scalar<T> |
 cpu_tag | A tag identifying OpenCL devices as CPUs |
 cpu_value_type< T > | Helper meta function for retrieving the main RAM-based value type. Particularly important to obtain T from viennacl::scalar<T> in a generic way |
 cuda_deleter< U > | Functor for deleting a CUDA handle. Used within the smart pointer class |
 cuthill_mckee_tag | A tag class for selecting the Cuthill-McKee algorithm for reducing the bandwidth of a sparse matrix |
 default_deleter< U > | Default deleter class for a pointer. The default is to just call 'delete' on the pointer. Provide your own implementations for 'delete[]' and 'free' |
 default_tag | A tag denoting the default OpenCL device type (SDK-specific) |
 device | A class representing a compute device (e.g. a GPU) |
 DOUBLE_PRECISION_CHECKER< ScalarType > | Ensures that double precision types are only allocated if it is supported by the device. If double precision is requested for a device not capable of providing that, a double_precision_not_provided_error is thrown |
 ell_matrix< SCALARTYPE, ALIGNMENT > | Sparse matrix class using the ELLPACK format for storing the nonzeros |
 ell_matrix< NumericT > | Main kernel class for generating OpenCL kernels for ell_matrix |
 ell_matrix< double > | |
 ell_matrix< float > | |
 enable_if< b, T > | Simple enable-if variant that uses the SFINAE pattern |
 entry_proxy< SCALARTYPE > | A proxy class for a single element of a vector or matrix. This proxy should not be noticed by end-users of the library |
 error_checker< T > | An error reporting class. Template argument is used to avoid problems with external linkage |
 exception | |
  cuda_not_available_exception | |
  memory_exception | Exception class in case of memory errors |
  build_program_failure | Exception thrown if the OpenCL program cannot be built, usually due to a syntax error in the OpenCL code |
  compiler_not_available | Exception thrown if the OpenCL just-in-time compiler is not available |
  device_not_available | Exception thrown if the selected compute device is not available (maybe locked by another process) |
  device_not_found | Exception thrown in the case that a requested compute device was not found |
  double_precision_not_provided_error | Exception thrown if the user wants to use double precision arithmetics, but the device does not support double precision |
  image_format_mismatch | Exception thrown if there is a mismatch in image formats for the operands |
  image_format_not_supported | Exception thrown if the requested image format is not supported |
  invalid_arg_index | Exception thrown if the kernel argument index is invalid, e.g. an arg index larger than the number of kernel arguments was provided |
  invalid_arg_size | Exception thrown if the arguments to an OpenCL kernel have an invalid size e.g. not sizeof(cl_mem)) |
  invalid_arg_value | Exception thrown if the kernel argument provided has an invalid value |
  invalid_binary | Exception thrown if the OpenCL binary (generated from the jit-compiler or loaded from some other location) won't work on the device (e.g. due to a lack of double precision support) |
  invalid_buffer_size | Exception thrown if the provided buffer size is invalid (e.g. zero) |
  invalid_build_options | Exception thrown if invalid build options are passed to the OpenCL just-in-time compiler |
  invalid_command_queue | Exception thrown if an invalid OpenCL command queue is provided to an OpenCL function |
  invalid_context | Exception thrown if an invalid OpenCL context is provided to an OpenCL function |
  invalid_device | Exception thrown if an invalid OpenCL device is provided to an OpenCL function |
  invalid_device_type | Exception thrown if an invalid device type is specified |
  invalid_event | Exception thrown if the provided event object (of type cl_event) is invalid |
  invalid_event_wait_list | Exception thrown if the provided event wait list is invalid |
  invalid_gl_object | Exception thrown if the provided OpenGL (not OpenCL) object is invalid |
  invalid_global_offset | Exception thrown if the provided offset for get_global_id() in OpenCL kernels is invalid |
  invalid_global_work_size | Exception thrown if the total number of work items is invalid (for example, not divisible by the number of work items per work group) |
  invalid_host_ptr | Exception thrown if the provided pointer to host memory is invalid |
  invalid_image_format_descriptor | Exception thrown if an invalid image format descriptor is provided |
  invalid_image_size | Exception thrown if the image size provided is invalid (e.g. zero) |
  invalid_kernel | Exception thrown if the provided kernel object (of type cl_kernel) is invalid (e.g. not initialized, from different context, or corrupted) |
  invalid_kernel_args | Exception thrown if the kernel arguments are invalid and/or do not fit the kernel parameter list |
  invalid_kernel_definition | Exception thrown if the kernel definition (number of arguments, argument types, etc.) is not the same for all devices for which the program has been built |
  invalid_kernel_name | Exception thrown if the provided kernel name is invalid (e.g. not part of the program provided) |
  invalid_mem_object | Exception thrown if an invalid OpenCL memory object (of type cl_mem) is passed to an OpenCL funciton |
  invalid_mip_level | Exception thrown if the provided miplevel is greater than zero, but the OpenGL implementation does not support creating from non-zero mipmap levels |
  invalid_operation | Exception thrown if interoperability of OpenCL with other frameworks collide |
  invalid_platform | Exception thrown if an invalid OpenCL platform is provided to an OpenCL function |
  invalid_program | Exception thrown if an OpenCL program object handle is invalid (e.g. not initialized) |
  invalid_program_executable | Exception thrown if there is no built program exectuable available for the device |
  invalid_property | Exception thrown if an invalid property is provided to a function (vague value) |
  invalid_queue_properties | Exception thrown if invalid OpenCL command queue properties are provided when creating a command queue |
  invalid_sampler | Exception thrown if an invalid sampler is provided for an image |
  invalid_value | Exception thrown is an invalid value is provided to an OpenCL function |
  invalid_work_dimension | Exception thrown if the work dimension is invalid (usually this means that the work dimension was set to be larger than three |
  invalid_work_group_size | Exception thrown if the number of work groups is invalid (usually this means that more than 256/512/768/1024 work groups have been specified, but the device(s) cannot support this |
  invalid_work_item_size | Exception thrown if the number of work items per work group invalid (usually this means that more than 256/512/768/1024 work items have been specified, but the device(s) cannot support this |
  map_failure | Exception thrown if the mapping of device memory to the host memory space failed |
  mem_copy_overlap | Exception thrown if the source buffer overlaps the destination buffer when copying from device memory to device memory |
  mem_object_allocation_failure | Exception thrown if a memory object cannot be allocated. Usually the requested memory buffer is simply too large |
  out_of_host_memory | Exception thrown if the host cannot provide enough memory for the datastructures in the OpenCL backend (temporary arrays, etc.) to perform the requested operation |
  out_of_resources | Exception thrown if the compute device is out of resources (either global memory, registers, etc.) for the requested operation |
  profiling_info_not_available | Exception thrown if the OpenCL context does not have CL_QUEUE_PROFILING_ENABLE set, if the execution is not complete, or the event object is a user event object |
  unknown_error | Exception thrown if the returned error cannot be resolved to some defined error constant. Might result from invalid sources, invalid memory operations, etc |
  statement_not_supported_exception | Exception for the case the scheduler is unable to deal with the operation |
 expression_descriptor | A class for holding meta information such as the type or the underlying scalar type of an expression (such as x = inner_prod(y, z)) |
 FastMatrix< SCALARTYPE > | Internal helper class representing a row-major dense matrix used for the QR method for the purpose of computing eigenvalues |
 fft< NumericT > | Main kernel class for generating OpenCL kernels for the fast Fourier transform |
 first_letter_of_type< T > | Helper struct for obtaining the first letter of a type. Used internally by the generator only |
 fspai_precond< MatrixType > | Implementation of the Factored SParse Approximate Inverse Algorithm for a generic, uBLAS-compatible matrix type |
 fspai_precond< viennacl::compressed_matrix< ScalarType, MAT_ALIGNMENT > > | Implementation of the Factored SParse Approximate Inverse Algorithm for a ViennaCL compressed_matrix |
 fspai_tag | A tag for FSPAI. Experimental. Contains values for the algorithm. Must be passed to spai_precond constructor |
 gibbs_poole_stockmeyer_tag | Tag class for identifying the Gibbs-Poole-Stockmeyer algorithm for reducing the bandwidth of a sparse matrix |
 gmres_tag | A tag for the solver GMRES. Used for supplying solver parameters and for dispatching the solve() function |
 gpu_tag | A tag identifying OpenCL devices as GPUs |
 handle< OCL_TYPE > | Handle class the effectively represents a smart pointer for OpenCL handles |
 handle< cl_command_queue > | |
 handle< cl_context > | |
 handle< cl_kernel > | |
 handle< cl_mem > | |
 handle< cl_program > | |
 handle_fun | Functor for obtaining the OpenCL handle from ViennaCL objects (vector, matrix, etc.) |
 handle_inc_dec_helper< OCL_TYPE > | Helper for OpenCL reference counting used by class handle |
 hankel_matrix< SCALARTYPE, ALIGNMENT > | A Hankel matrix class |
 hyb_matrix< SCALARTYPE, ALIGNMENT > | Sparse matrix class using a hybrid format composed of the ELL and CSR format for storing the nonzeros |
 hyb_matrix< NumericT > | Main kernel class for generating OpenCL kernels for hyb_matrix |
 hyb_matrix< double > | |
 hyb_matrix< float > | |
 ichol0_precond< MatrixType > | Incomplete Cholesky preconditioner class with static pattern (ICHOL0), can be supplied to solve()-routines |
 ichol0_precond< compressed_matrix< ScalarType, MAT_ALIGNMENT > > | ILU0 preconditioner class, can be supplied to solve()-routines |
 ichol0_tag | A tag for incomplete Cholesky factorization with static pattern (ILU0) |
 identity_matrix< SCALARTYPE > | Represents a vector consisting of 1 at a given index and zeros otherwise. To be used as an initializer for viennacl::vector, vector_range, or vector_slize only |
 ilu< NumericT > | Main kernel class for generating OpenCL kernels for incomplete LU factorization preconditioners |
 ilu0_precond< MatrixType > | ILU0 preconditioner class, can be supplied to solve()-routines |
 ilu0_precond< compressed_matrix< ScalarType, MAT_ALIGNMENT > > | ILU0 preconditioner class, can be supplied to solve()-routines |
 ilu0_tag | A tag for incomplete LU factorization with static pattern (ILU0) |
 ilu_vector_range< VectorType, ValueType, SizeType > | Helper range class for representing a subvector of a larger buffer |
 ilut_precond< MatrixType > | ILUT preconditioner class, can be supplied to solve()-routines |
 ilut_precond< compressed_matrix< ScalarType, MAT_ALIGNMENT > > | ILUT preconditioner class, can be supplied to solve()-routines |
 ilut_tag | A tag for incomplete LU factorization with threshold (ILUT) |
 implicit_matrix_base< SCALARTYPE > | Base class for representing matrices where the individual entries are not all stored explicitly, e.g. identity_matrix<> |
 implicit_matrix_base< double > | |
 implicit_matrix_base< float > | |
 implicit_vector_base< SCALARTYPE > | Common base class for representing vectors where the entries are not all stored explicitly |
  one_vector< SCALARTYPE > | Represents a vector consisting of ones only |
  scalar_vector< SCALARTYPE > | Represents a vector consisting of scalars 's' only, i.e. v[i] = s for all i. To be used as an initializer for viennacl::vector, vector_range, or vector_slize only |
  unit_vector< SCALARTYPE > | Represents a vector consisting of 1 at a given index and zeros otherwise |
  zero_vector< SCALARTYPE > | Represents a vector consisting of zeros only |
 implicit_vector_base< double > | |
 implicit_vector_base< float > | |
 info< T > | Helper class for obtaining informations from the OpenCL backend. Deprecated! |
 internal_size1_fun | Functor for obtaining the internal number of rows of a ViennaCL matrix |
 internal_size2_fun | Functor for obtaining the internal number of columns of a ViennaCL matrix |
 internal_size_fun | Functor for returning the internal size of a vector |
 is_addition< T > | Helper metafunction for checking whether the provided type is viennacl::op_add (for addition) |
 is_any_dense_matrix< T > | Checks for either matrix_base or implicit_matrix_base |
 is_any_dense_structured_matrix< T > | Helper class for checking whether the provided type is any of the dense structured matrix types (circulant, Hankel, etc.) |
 is_any_scalar< T > | Helper struct for checking whether the provided type represents a scalar (either host, from ViennaCL, or a flip-sign proxy) |
 is_any_sparse_matrix< T > | Helper class for checking whether the provided type is one of the sparse matrix types (compressed_matrix, coordinate_matrix, etc.) |
 is_any_vector< T > | Checks for a type being either vector_base or implicit_vector_base |
 is_circulant_matrix< T > | Helper class for checking whether a matrix is a circulant matrix |
 is_compressed_matrix< T > | Helper class for checking whether a matrix is a compressed_matrix (CSR format) |
 is_coordinate_matrix< T > | Helper class for checking whether a matrix is a coordinate_matrix (COO format) |
 is_cpu_scalar< T > | Helper struct for checking whether a type is a host scalar type (e.g. float, double) |
 is_division< T > | Helper metafunction for checking whether the provided type is viennacl::op_div (for division) |
 is_eigen< Tag > | Meta function which checks whether a tag is tag_eigen |
 is_ell_matrix< T > | Helper class for checking whether a matrix is an ell_matrix (ELL format) |
 is_flip_sign_scalar< T > | Helper struct for checking whether a type represents a sign flip on a viennacl::scalar<> |
 is_hankel_matrix< T > | Helper class for checking whether a matrix is a Hankel matrix |
 is_hyb_matrix< T > | Helper class for checking whether a matrix is a hyb_matrix (hybrid format: ELL plus CSR) |
 is_mtl4< Tag > | Meta function which checks whether a tag is tag_mtl4 |
 is_primitive_type< T > | Helper class for checking whether a type is a primitive type |
 is_product< T > | Helper metafunction for checking whether the provided type is viennacl::op_prod (for products/multiplication) |
 is_row_major< T > | Helper class for checking whether a matrix has a row-major layout |
 is_same_type< T, U > | Helper metafunction for checking whether two types are the same |
 is_scalar< T > | Helper struct for checking whether a type is a viennacl::scalar<> |
 is_stl< Tag > | Meta function which checks whether a tag is tag_ublas |
 is_subtraction< T > | Helper metafunction for checking whether the provided type is viennacl::op_sub (for subtraction) |
 is_toeplitz_matrix< T > | Helper class for checking whether a matrix is a Toeplitz matrix |
 is_ublas< Tag > | Meta function which checks whether a tag is tag_ublas |
 is_vandermonde_matrix< T > | Helper class for checking whether a matrix is a Vandermonde matrix |
 is_viennacl< Tag > | Meta function which checks whether a tag is tag_viennacl |
 jacobi_precond< MatrixType, is_viennacl > | Jacobi preconditioner class, can be supplied to solve()-routines. Generic version for non-ViennaCL matrices |
 jacobi_precond< MatrixType, true > | Jacobi preconditioner class, can be supplied to solve()-routines |
 jacobi_tag | A tag for a jacobi preconditioner |
 kernel | Represents an OpenCL kernel within ViennaCL |
 lanczos_tag | A tag for the lanczos algorithm |
 layout_type_id< F > | Helper metafunction for obtaining the memory layout (row-/column-major) for a matrix |
 lhs_rhs_element | A class representing the 'data' for the LHS or RHS operand of the respective node |
 local_mem | A class representing local (shared) OpenCL memory. Typically used as kernel argument |
 lower_tag | A tag class representing a lower triangular matrix |
 majority_struct_for_orientation< T > | Returns the row_major or column_major class of a dense matrix based on the majority-tag (layout-tag) provided |
 map_wrapper< KeyType, ValueType > | Helper struct for mapping a std::map<KeyType, ValueType>. Used to avoids type length explosion when using nested std::map directly |
 map_wrapper< device_name_type, expression_map > | |
  device_name_map | Represents device->expression in the map hierarchy vendor->device_type->device_arch->device->expression->profile |
 map_wrapper< device_type, device_architecture_map > | |
  device_type_map | Represents device_type->device_arch in the map hierarchy vendor->device_type->device_arch->device->expression->profile |
 map_wrapper< expression_key_type, profile_base_ptr > | |
  expression_map | Represents expression->profile in the map hierarchy vendor->device_type->device_arch->device->expression->profile |
 map_wrapper< vendor_id_type, device_type_map > | |
  database_type | Represents vendor->device_type in the map hierarchy vendor->device_type->device_arch->device->expression->profile |
 map_wrapper< viennacl::ocl::device_architecture_family, device_name_map > | |
  device_architecture_map | Represents device_arch->device in the map hierarchy vendor->device_type->device_arch->device->expression->profile |
 mapped_object | Base class for mapping viennacl datastructure to generator-friendly structures |
  mapped_binary_leaf | Base class for mapping binary leaves (inner product-based, matrix vector product-base, matrix-matrix product based...) |
   mapped_matrix_product | Mapping of a matrix product |
   mapped_reduction | Base class for mapping a reduction |
    mapped_scalar_reduction | Mapping of a scalar reduction (based on inner product) |
    mapped_vector_reduction | Mapping of a vector reduction (based on matrix-vector product) |
  mapped_handle | Base class for datastructures passed by pointer |
   mapped_buffer | Base class for mapping buffer-based objects to a generator class |
    mapped_matrix | Mapping of a matrix to a generator class |
    mapped_vector | Mapping of a vector to a generator class |
   mapped_scalar | Mapping of a scalar to a generator class |
  mapped_host_scalar | Mapping of a host scalar to a generator class |
  mapped_implicit_matrix | Mapping of a implicit matrix to a generator class |
  mapped_implicit_vector | Mapping of a implicit vector to a generator class |
 mat_mult_matrix_index< LayoutT > | Helper struct for accessing an element of a row- or column-major matrix |
 matrix< NumericT, F > | Main kernel class for generating OpenCL kernels for operations on/with dense matrix objects of type viennacl::matrix<> |
 matrix_array_wrapper< NumericT, MajorityCategory, is_transposed > | Helper array for accessing a strided submatrix embedded in a larger matrix |
 matrix_base< SCALARTYPE, F, SizeType, DistanceType > | A dense matrix class |
 matrix_base< double > | |
 matrix_base< double, viennacl::viennacl::column_major > | |
 matrix_base< float > | |
 matrix_base< float, viennacl::viennacl::column_major > | |
 matrix_base< MatrixType::cpu_value_type, MatrixType::orientation_functor > | |
  matrix_range< MatrixType > | Class for representing non-strided submatrices of a bigger matrix A |
  matrix_slice< MatrixType > | Class for representing strided submatrices of a bigger matrix A |
 matrix_base< SCALARTYPE, F > | |
  matrix< SCALARTYPE, F, ALIGNMENT > | A dense matrix class |
 matrix_element< NumericT, F > | Main kernel class for generating OpenCL kernels for elementwise-operations such as element_sin() on/with dense matrix objects of type viennacl::matrix<> |
 matrix_expression< LHS, RHS, OP > | Expression template class for representing a tree of expressions which ultimately result in a matrix |
 matrix_iterator< ROWCOL, MATRIXTYPE > | UBLAS-like iterator class for iterating over the entries of a dense matrix |
 MATRIX_ITERATOR_INCREMENTER< ROWCOL, MATRIXTYPE > | Helper class for incrementing an iterator in a dense matrix |
 matrix_prod< NumericT, F_A, F_B, F_C > | Main kernel class for the generation of matrix-matrix product kernels C = A * B |
 MATRIX_SIZE_DEDUCER< LHS, RHS, OP > | Deduces the size of the resulting vector represented by a vector_expression from the operands |
 matrix_solve< NumericT, F1, F2 > | Main kernel class for the generation of matrix solve kernels |
 mem_handle | Main abstraction class for multiple memory domains. Represents a buffer in either main RAM, an OpenCL context, or a CUDA device |
 mixed_precision_cg_tag | A tag for the conjugate gradient Used for supplying solver parameters and for dispatching the solve() function |
 nmf< NumericT > | Main kernel class for generating OpenCL kernels for nonnegative matrix factorization of a dense matrices |
 nmf_config | Configuration class for the nonnegative-matrix-factorization algorithm. Specify tolerances, maximum iteration counts, etc., here |
 no_precond | A tag class representing the use of no preconditioner |
 num_nodes< T > | Helper metafunction for obtaining the number of nodes of an expression template tree |
 numeric_type_id< T > | Helper metafunction for obtaining the runtime type ID for a numerical type |
 op_abs | A tag class representing the modulus function for integers |
 op_acos | A tag class representing the acos() function |
 op_add | A tag class representing addition |
 op_applier< OP > | Worker class for decomposing expression templates |
 op_asin | A tag class representing the asin() function |
 op_assign | A tag class representing assignment |
 op_atan | A tag class representing the atan() function |
 op_atan2 | A tag class representing the atan2() function |
 op_ceil | A tag class representing the ceil() function |
 op_column | A tag class representing the extraction of a matrix column to a vector |
 op_cos | A tag class representing the cos() function |
 op_cosh | A tag class representing the cosh() function |
 op_div | A tag class representing division |
 op_element | Struct for holding the type family as well as the type of an operation (could be addition, subtraction, norm, etc.) |
 op_element_binary< OP > | A tag class representing element-wise binary operations (like multiplication) on vectors or matrices |
 op_element_unary< OP > | A tag class representing element-wise unary operations (like sin()) on vectors or matrices |
 op_executor< A, OP, T > | Worker class for decomposing expression templates |
 op_exp | A tag class representing the exp() function |
 op_fabs | A tag class representing the fabs() function |
 op_fdim | A tag class representing the fdim() function |
 op_flip_sign | A tag class representing sign flips (for scalars only. Vectors and matrices use the standard multiplication by the scalar -1.0) |
 op_floor | A tag class representing the floor() function |
 op_fmax | A tag class representing the fmax() function |
 op_fmin | A tag class representing the fmin() function |
 op_fmod | A tag class representing the fmod() function |
 op_inner_prod | A tag class representing inner products of two vectors |
 op_inplace_add | A tag class representing inplace addition |
 op_inplace_sub | A tag class representing inplace subtraction |
 op_log | A tag class representing the log() function |
 op_log10 | A tag class representing the log10() function |
 op_mat_mat_prod | A tag class representing matrix-matrix products |
 op_matrix_diag | A tag class representing the (off-)diagonal of a matrix |
 op_mult | A tag class representing multiplication by a scalar |
 op_norm_1 | A tag class representing the 1-norm of a vector |
 op_norm_2 | A tag class representing the 2-norm of a vector |
 op_norm_frobenius | A tag class representing the Frobenius-norm of a matrix |
 op_norm_inf | A tag class representing the inf-norm of a vector |
 op_pow | A tag class representing the power function |
 op_prod | A tag class representing matrix-vector products and element-wise multiplications |
 op_row | A tag class representing the extraction of a matrix row to a vector |
 op_sin | A tag class representing the sin() function |
 op_sinh | A tag class representing the sinh() function |
 op_sqrt | A tag class representing the sqrt() function |
 op_sub | A tag class representing subtraction |
 op_tan | A tag class representing the tan() function |
 op_tanh | A tag class representing the tanh() function |
 op_trans | A tag class representing transposed matrices |
 op_type_info< T > | Helper metafunction for obtaining the operation ID as well as the operation family for unary and binary operations on vectors and matrices |
 op_vector_diag | A tag class representing a matrix given by a vector placed on a certain (off-)diagonal |
 orientation_functor< T > | Returns the orientation functor tag (either row_major or column_major) of a matrix |
 ostream | |
  kernel_generation_stream | A stream class where the kernel sources are streamed to. Takes care of indentation of the sources |
 packed_cl_uint | Helper class for packing four cl_uint numbers into a uint4 type for access inside an OpenCL kernel |
 platform | Wrapper class for an OpenCL platform |
 power_iter_tag | A tag for the power iteration algorithm |
 profile_base | Base class for an operation profile |
  matrix_product | Kernel generation class for matrix-matrix products |
  matrix_saxpy | OpenCL kernel generation class for matrix expressions of AXPY type, i.e. A = alpha * B + beta * C, where the number of summands can in principle be arbitrarily large |
  scalar_reduction | OpenCL kernel generation template for scalar reduction operations such as s = norm_2(x) |
  vector_reduction | OpenCL kernel template for reductions resulting in a vector. Example: Computing the row norms of a matrix concurrently |
  vector_saxpy | OpenCL kernel generation class for vector expressions of AXPY type, i.e. x = alpha * y + beta * z, where the number of summands can in principle be arbitrarily large |
 program | Wrapper class for an OpenCL program |
 row_iteration | A tag indicating iteration along increasing row index of a matrix |
 row_major | A tag for row-major storage of a dense matrix |
 row_major_tag | Tag class for indicating row-major layout of a matrix. Not passed to the matrix directly, see row_major type |
 row_scaling< MatrixType, is_viennacl > | Jacobi-type preconditioner class, can be supplied to solve()-routines. This is a diagonal preconditioner with the diagonal entries being (configurable) row norms of the matrix |
 row_scaling< MatrixType, true > | Jacobi preconditioner class, can be supplied to solve()-routines |
 row_scaling_tag | A tag for a row scaling preconditioner which merely normalizes the equation system such that each row of the system matrix has unit norm |
 scalar< TYPE > | This class represents a single scalar value on the GPU and behaves mostly like a built-in scalar type like float or double |
 scalar< TYPE > | Main kernel class for generating OpenCL kernels for operations involving viennacl::scalar<>, but not viennacl::vector<> or viennacl::matrix<> |
 scalar< double > | |
 scalar< float > | |
 scalar_expression< LHS, RHS, OP > | A proxy for scalar expressions (e.g. from inner vector products) |
 scalar_expression< LHS, RHS, op_inner_prod > | Specialization of a scalar expression for inner products. Allows for a final reduction on the CPU |
 scalar_expression< LHS, RHS, op_norm_1 > | Specialization of a scalar expression for norm_1. Allows for a final reduction on the CPU |
 scalar_expression< LHS, RHS, op_norm_2 > | Specialization of a scalar expression for norm_2. Allows for a final reduction on the CPU |
 scalar_expression< LHS, RHS, op_norm_frobenius > | Specialization of a scalar expression for norm_frobenius. Allows for a final reduction on the CPU |
 scalar_expression< LHS, RHS, op_norm_inf > | Specialization of a scalar expression for norm_inf. Allows for a final reduction on the CPU |
 scalar_matrix< SCALARTYPE > | Represents a vector consisting of scalars 's' only, i.e. v[i] = s for all i. To be used as an initializer for viennacl::vector, vector_range, or vector_slize only |
 scalartype_size_fun | Functor for returning the size of the underlying scalar type in bytes |
 shared_ptr< T > | A shared pointer class similar to boost::shared_ptr. Reimplemented in order to avoid a Boost-dependency. Will be replaced by std::shared_ptr as soon as C++11 is widely available |
 shared_ptr< char > | |
 size_type< T > | Generic meta-function for retrieving the size_type associated with type T |
 spai< NumericT > | Main kernel class for generating OpenCL kernels for the sparse approximate inverse preconditioners |
 spai_precond< MatrixType > | Implementation of the SParse Approximate Inverse Algorithm for a generic, uBLAS-compatible matrix type |
 spai_precond< viennacl::compressed_matrix< ScalarType, MAT_ALIGNMENT > > | Implementation of the SParse Approximate Inverse Algorithm for a ViennaCL compressed_matrix |
 spai_tag | A tag for SPAI Contains values for the algorithm. Must be passed to spai_precond constructor |
 sparse_matrix_adapted_iterator< SCALARTYPE, SizeType, is_iterator1 > | A non-const iterator for sparse matrices of type std::vector<std::map<SizeType, SCALARTYPE> > |
 sparse_vector< ScalarType > | Represents sparse vector based on std::map<unsigned int, ScalarType> |
 statement | The main class for representing a statement such as x = inner_prod(y,z); at runtime |
 statement_node | Main datastructure for an node in the statement tree |
 svd< NumericT > | Main kernel class for generating OpenCL kernels for singular value decomposition of dense matrices |
 tag_eigen | A tag class for identifying types from Eigen |
 tag_mtl4 | A tag class for identifying types from MTL4 |
 tag_none | A tag class for identifying 'unknown' types |
 tag_of< T, Active > | Generic base for wrapping other linear algebra packages |
 tag_stl | A tag class for identifying types from the C++ STL |
 tag_ublas | A tag class for identifying types from uBLAS |
 tag_viennacl | A tag class for identifying types from ViennaCL |
 timer | Simple timer class based on gettimeofday (POSIX) or QueryPerformanceCounter (Windows) |
 toeplitz_matrix< SCALARTYPE, ALIGNMENT > | A Toeplitz matrix class |
 traversal_functor | Base functor class for traversing a statement |
  expression_generation_traversal | Functor for generating the expression string from a statement |
  fetch_traversal | Functor for fetching the elements of a statement |
  map_functor | Functor to map the statements to the types defined in mapped_objects.hpp |
  prototype_generation_traversal | Functor for generating the prototype of a statement |
  set_arguments_functor | Helper class for setting the arguments of a kernel |
  statement_representation_functor | Helper class for the OpenCL kernel generator, representing a statement |
 tuning_config< ConfigType > | Tuning configuration |
 tuning_param | Class for a tuning parameter |
 type_to_string< T > | Helper class for converting a type to its string representation |
 type_to_string< T > | Helper struct for converting a numerical type to its string representation |
 typesafe_host_array< T, special > | Helper class implementing an array on the host. Default case: No conversion necessary |
 typesafe_host_array< T, true > | Special host array type for conversion between OpenCL types and pure CPU types |
 unit_lower_tag | A tag class representing a lower triangular matrix with unit diagonal |
 unit_upper_tag | A tag class representing an upper triangular matrix with unit diagonal |
 upper_tag | A tag class representing an upper triangular matrix |
 value_type< T > | Generic helper function for retrieving the value_type associated with type T |
 vandermonde_matrix< SCALARTYPE, ALIGNMENT > | A Vandermonde matrix class |
 vector< TYPE > | Main kernel class for generating OpenCL kernels for operations on/with viennacl::vector<> without involving matrices, multiple inner products, or element-wise operations other than addition or subtraction |
 vector_array_wrapper< NumericT > | Helper class for accessing a strided subvector of a larger vector |
 vector_base< SCALARTYPE, SizeType, DistanceType > | Common base class for dense vectors, vector ranges, and vector slices |
 vector_base< double > | |
 vector_base< float > | |
 vector_base< SCALARTYPE > | |
  vector< SCALARTYPE, ALIGNMENT > | A vector class representing a linear memory sequence on the GPU. Inspired by boost::numeric::ublas::vector |
 vector_base< ScalarType > | |
  vector< ScalarType > | |
 vector_base< VectorType::cpu_value_type > | |
  vector_range< VectorType > | Class for representing non-strided subvectors of a bigger vector x |
  vector_slice< VectorType > | Class for representing strided subvectors of a bigger vector x |
 vector_element< TYPE > | Main kernel class for generating OpenCL kernels for elementwise operations other than addition and subtraction on/with viennacl::vector<> |
 vector_expression< LHS, RHS, OP > | An expression template class that represents a binary operation that yields a vector |
 vector_multi_inner_prod< TYPE > | Main kernel class for generating OpenCL kernels for multiple inner products on/with viennacl::vector<> |
 vector_tuple< ScalarT > | Tuple class holding pointers to multiple vectors. Mainly used as a temporary object returned from viennacl::tie() |
 zero_matrix< SCALARTYPE > | Represents a vector consisting of zeros only. To be used as an initializer for viennacl::vector, vector_range, or vector_slize only |