## dense

`dense`

is a multidimensional array library build on top of the
`vector`

package, using indices from the `linear`

package. Native
support for mutable arrays, stencils and parallel computation.

### Array type

Arrays are just vectors (from `vector`

) with a shape:

`data Array v f a = Array !(f Layout) !(v a)`

where `Layout f = f Int`

is the shape of the array, given by a vector
from `linear`

(`V1`

, `V2`

, `V3`

or `V4`

). These vectors are also used
to indexing:

`> a ! V3 1 2 3`

### Delayed arrays

A delayed array, defined by

`data Delayed f a = Delayed !(Layout f) (Int -> a)`

can be constructing from a normal array via `delay`

. It can be useful
for mapping a function over an array and computing the result in
parallel via `manifest`

:

`> manifest . fmap (+100) . delay`

or equivalently using the `delayed`

isomorphism:

`> delayed +~ 100`

`Delayed`

is an instance of many classes, including `Additive`

from
`linear`

:

`> manifest $ delay a ^+^ 3 *^ delay b`

### Mutable

`dense`

has similar mutable capabilities to `vector`

, supporting
mutable operations over a `PrimMonad`

in `Data.Dense.Mutable`

.

### Stencils

`dense`

has good stencil support, allowing construction of 1D, 2D or 3D
stencils using template haskell and quasiquoters.

```
myStencil = [stencil|
2/5 8/5 2/5
8/5 2 8/5
2/5 8/5 2/5
|]
```

Stencils made with template haskell are unrolled at compile time.

### Comparison to other array libraries

`array`

supports multidimensional and mutable arrays but `dense`

provides many more high level functions as well as stencils and parallel
computation.

`repa`

and `yarr`

has a lot of the same features as `repa`

and `yarr`

.
Performance should be similar (more benchmarks needed) but `dense`

also
has support for mutable arrays and multidimensional stencils.

### Package structure

Like `vector`

, there is a `Data.Shaped.Generic`

module for working
over any generic vector as well as `Data.Shaped.Unboxed`

and
`Data.Shaped.Storable`

modules. Unlike `vector`

, boxed vectors are
in `Data.Shaped.Boxed`

.

The `Data.Shaped`

module includes a subset of `Data.Shaped.Generic`

as well as some extra reexports and is intended to be imported
*unqualified*.