1. Generic Multidimensional arrays of three kinds.
2. std.range, std.functional, and partially std.algorithm alternative suitable for fast execution and multidimensional algorithms.
3. Iterators like random access iterators in C++, Fields, and ndFields.
4. LLVM oriented math functions.

http://docs.algorithm.dlang.io

https://rawgit.com/libmir/mir-algorithm/master/ndslice.svg

• mir.ndslice.topology - Multidimensional std.range analog. Includes bitwise, bitpack, zip, unzip, map, indexed and many other features.
• mir.ndslice.concatenation - Concatenation and padding
• mir.ndslice.algorithm - Slim multidimensional std.algorithm analog
• mir.ndslice.sorting - Multidimensional sorting utilities

ndslice design was changed. New ndslices can be created on top of random access iterators including pointers. There are three kinds of ndslice:

• Contiguous - Contiguous in memory representation. It does not store strides and can be always flattened to 1 dimensional ndslice on top of the same iterator type.
• Canonical - BLAS like. Stride for row dimension assumed to be equal to 1.
• Universal - Numpy like. Each dimension has strides. All dimensions can be exchanged without reallocation. The old ndslice ABI corresponds to the Universal ndslice.

• With LDC <=1.1.1 mir.ndslice.topology.map may not work because LDC has deprecated DMD FE

If you are looking for old ndslice, please use the main repo with old tag v0.22.1.