Template Numerical Library version\ main:f17d0c8
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Namespace List
Here is a list of all documented namespaces with brief descriptions:
[detail level 12345]
 ▼NstdSTL namespace
 Ctuple_element< I, TNL::Containers::StaticArray< N, T > >
 Ctuple_element< I, TNL::Containers::StaticVector< N, T > >
 Ctuple_size< TNL::Containers::StaticArray< N, T > >
 Ctuple_size< TNL::Containers::StaticVector< N, T > >
 ▼NTNLThe main TNL namespace
 ►NAlgorithmsNamespace for fundamental TNL algorithms
 ►NAllocatorsNamespace for TNL allocators
 NAssertInternal namespace for helper classes used in the TNL_ASSERT_* macros
 ►NBackendInternal namespace for CUDA/HIP backend support
 Nbase64Namespace for base64 encoding and decoding functions
 ►NCFDNamespace for Computational Fluid Dynamics utilities in TNL
 ►NContainersNamespace for TNL containers
 ►NDevicesNamespace for TNL execution models
 ►NExceptionsNamespace for TNL exceptions
 ►NImagesNamespace for image processing
 ►NMatricesNamespace for matrix formats
 ►NMeshesNamespace for numerical meshes and related objects
 ►NPointersNamespace for TNL pointers
 ►NSolversNamespace for solvers
 Callocates_host_accessible_dataA trait-class that determines if an allocator allocates data that are directly accessible from the host code without the need for explicit copy operations
 Callocates_host_accessible_data< Allocators::Cuda< T > >
 Callocates_host_accessible_data< Allocators::Hip< T > >
 CAnyWithArgFunction object implementing argany(x, y, i, j) for use with TNL::Algorithms::reduceWithArgument
 CAtomic
 CAtomic< T, Devices::Cuda >
 CAtomic< T, Devices::Host >
 CAtomic< T, Devices::Sequential >
 CBitAndExtension of std::bit_and<void> for use with TNL::Algorithms::reduce
 CBitOrExtension of std::bit_or<void> for use with TNL::Algorithms::reduce
 CBitXorExtension of std::bit_xor<void> for use with TNL::Algorithms::reduce
 ►CCast
 ►Ccopy_constCopy const qualifier from Source type to Target type
 CCPUCacheSizesCPU cache sizes
 CCPUInfoCPU information
 Cenable_if_type
 CFileThis class serves for binary IO. It allows to do IO even for data allocated on GPU together with on-the-fly data type conversion
 CFileNameHelper class for the construction of file names based on name, index and extension
 CHasAddAssignmentOperatorType trait for checking if T has operator+= taking one argument of type T
 CHasConstexprGetSizeMethodType trait for checking if T has a constexpr getSize method
 CHasCountMemberType trait for checking if T has count member
 CHasGetArrayDataMethodType trait for checking if T has getArrayData method
 CHasGetCommunicatorMethodType trait for checking if T has getCommunicator method
 CHasGetSizeMethodType trait for checking if T has getSize method
 CHasIsMatrixMethodType trait for checking if T has getCommunicator method
 CHasSetSizeMethodType trait for checking if T has setSize method
 CHasSubscriptOperatorType trait for checking if T has operator[] taking one index argument
 CHypreA simple RAII wrapper for Hypre's initialization and finalization
 Cis_complex
 Cis_complex< Arithmetics::Complex< T > >
 Cis_complex< const T >
 Cis_complex< std::complex< T > >
 Cis_complex< volatile const T >
 Cis_complex< volatile T >
 CIsArrayTypeType trait for checking if T is an array type, e.g. Containers::Array or Containers::Vector
 CIsScalarTypeType trait for checking if T is a scalar type (in the mathemtatical sense). Not to be confused with std::is_scalar
 CIsStaticArrayTypeType trait for checking if T is a static array type
 CIsVectorTypeType trait for checking if T is a vector type, e.g. Containers::Vector or Containers::VectorView
 CIsViewTypeType trait for checking if T is a view type
 CLoggerCreates calculations log in the form of a table
 CLogicalAndFunction object implementing x && y
 CLogicalOrFunction object implementing x || y
 CMaxFunction object implementing max(x, y)
 CMaxWithArgFunction object implementing argmax(x, y, i, j) for use with TNL::Algorithms::reduceWithArgument
 CMinFunction object implementing min(x, y)
 CMinWithArgFunction object implementing argmin(x, y, i, j) for use with TNL::Algorithms::reduceWithArgument
 CMultipliesFunction object implementing x * y
 CObjectBasic class for majority of TNL objects like matrices, meshes, grids, solvers, etc.
 CPerformanceCountersPerformance counter for measuring CPU cycles
 CPlusFunction object implementing x + y
 CReal
 CStringClass for managing strings
 CTimerClass for real time, CPU time and CPU cycles measuring
 CtnlFlopsCounter
 CUnaryPlusFunction object implementing +x
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