# dcuminabs

Calculate the cumulative minimum absolute value of double-precision floating-point strided array elements.

## Usage

``````var dcuminabs = require( '@stdlib/stats/base/dcuminabs' );
``````

#### dcuminabs( N, x, strideX, y, strideY )

Computes the cumulative minimum absolute value of double-precision floating-point strided array elements.

``````var Float64Array = require( '@stdlib/array/float64' );

var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );
var y = new Float64Array( x.length );

dcuminabs( x.length, x, 1, y, 1 );
// y => <Float64Array>[ 1.0, 1.0, 1.0 ]
``````

The function has the following parameters:

The `N` and `stride` parameters determine which elements in `x` and `y` are accessed at runtime. For example, to compute the cumulative minimum absolute value of every other element in `x`,

``````var Float64Array = require( '@stdlib/array/float64' );

var x = new Float64Array( [ 1.0, 2.0, 2.0, -7.0, -2.0, 3.0, 4.0, 2.0 ] );
var y = new Float64Array( x.length );

var v = dcuminabs( 4, x, 2, y, 1 );
// y => <Float64Array>[ 1.0, 1.0, 1.0, 1.0, 0.0, 0.0, 0.0, 0.0 ]
``````

Note that indexing is relative to the first index. To introduce an offset, use `typed array` views.

``````var Float64Array = require( '@stdlib/array/float64' );

// Initial arrays...
var x0 = new Float64Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0 ] );
var y0 = new Float64Array( x0.length );

// Create offset views...
var x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
var y1 = new Float64Array( y0.buffer, y0.BYTES_PER_ELEMENT*3 ); // start at 4th element

dcuminabs( 4, x1, -2, y1, 1 );
// y0 => <Float64Array>[ 0.0, 0.0, 0.0, 4.0, 2.0, 2.0, 1.0, 0.0 ]
``````

#### dcuminabs.ndarray( N, x, strideX, offsetX, y, strideY, offsetY )

Computes the cumulative minimum absolute value of double-precision floating-point strided array elements using alternative indexing semantics.

``````var Float64Array = require( '@stdlib/array/float64' );

var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );
var y = new Float64Array( x.length );

dcuminabs.ndarray( x.length, x, 1, 0, y, 1, 0 );
// y => <Float64Array>[ 1.0, 1.0, 1.0 ]
``````

The function has the following additional parameters:

• offsetX: starting index for `x`.
• offsetY: starting index for `y`.

While `typed array` views mandate a view offset based on the underlying `buffer`, `offsetX` and `offsetY` parameters support indexing semantics based on a starting indices. For example, to calculate the cumulative minimum absolute value of every other value in `x` starting from the second value and to store in the last `N` elements of `y` starting from the last element

``````var Float64Array = require( '@stdlib/array/float64' );

var x = new Float64Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0 ] );
var y = new Float64Array( x.length );

dcuminabs.ndarray( 4, x, 2, 1, y, -1, y.length-1 );
// y => <Float64Array>[ 0.0, 0.0, 0.0, 0.0, 1.0, 1.0, 1.0, 1.0 ]
``````
• If `N <= 0`, both functions return `y` unchanged.