Arrays and views

Detailed Description

Multi-dimensional arrays and views and functions to create, transform and access them in multiple ways.

The generic array (nda::basic_array) and view (nda::basic_array_view) classes form the backbone of the nda library. They are used to store and access multi-dimensional data and provide a wide range of operations and functions to manipulate them.

Regular arrays own the memory they use for storing the data that means they are responsible for managing their memory storage. Views on the other hand do not own the memory they point to. They provide a lightweight alternative to access the data of regular arrays or other views.

Topics
	Algorithms
	Various algorithms that can be applied to arrays and views.
	Arithmetic operations
	All the usual arithmetic operations that can be applied to arrays and views.
	Array/View utilities
	Type traits, concepts and more functionality related to array and view types.
	Factories and transformations
	Various functions to create new array/view objects and to transform existing ones.
	HDF5 support
	HDF5 support for nda::basic_array and nda::basic_array_view objects.
	MPI support
	MPI support for nda::basic_array and nda::basic_array_view objects.
	Mathematical functions
	Various mathematical functions that can be applied to arrays and views.
	Symmetries
	Tools to use and detect symmetries in nda::Array objects.
	Typedefs
	Various typedefs/aliases of the most useful array and view types.

Classes
class	nda::basic_array< ValueType, Rank, LayoutPolicy, Algebra, ContainerPolicy >
	A generic multi-dimensional array. More...
class	nda::basic_array_view< ValueType, Rank, LayoutPolicy, Algebra, AccessorPolicy, OwningPolicy >
	A generic view of a multi-dimensional array. More...