var maxsorted = require( '@stdlib/stats/strided/maxsorted' );

Computes the maximum value of a sorted strided array x.

var x = [ 1.0, 2.0, 3.0 ];
var N = x.length;

var v = maxsorted( N, x, 1 );
// returns 3.0

x = [ 3.0, 2.0, 1.0 ];
N = x.length;

v = maxsorted( N, x, 1 );
// returns 3.0

The function has the following parameters:

• N: number of indexed elements.
• x: sorted input Array or typed array.
• strideX: stride length for x.

The N and stride parameters determine which elements in the strided array are accessed at runtime. For example, to compute the maximum value of every other element in x,

var x = [ 1.0, 2.0, 2.0, -7.0, 3.0, 3.0, 4.0, 2.0 ];

var v = maxsorted( 4, x, 2 );
// returns 4.0

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

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

var x0 = new Float64Array( [ 2.0, 1.0, 2.0, 2.0, -2.0, 2.0, 3.0, 4.0 ] );
var x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element

var v = maxsorted( 4, x1, 2 );
// returns 4.0

Computes the maximum value of a sorted strided array using alternative indexing semantics.

var x = [ 1.0, 2.0, 3.0 ];

var v = maxsorted.ndarray( x.length, x, 1, 0 );
// returns 3.0

The function has the following additional parameters:

• offsetX: starting index for x.

While typed array views mandate a view offset based on the underlying buffer, the offset parameter supports indexing semantics based on a starting index. For example, to calculate the maximum value for every other value in x starting from the second value

var x = [ 2.0, 1.0, 2.0, 2.0, -2.0, 2.0, 3.0, 4.0 ];

var v = maxsorted.ndarray( 4, x, 2, 1 );
// returns 4.0

• If N <= 0, both functions return NaN.
• The input strided array must be sorted in either strictly ascending or descending order.
• Both functions support array-like objects having getter and setter accessors for array element access (e.g., @stdlib/array/base/accessor).

• @stdlib/stats/strided/dmaxsorted: calculate the maximum value of a sorted double-precision floating-point strided array.
• @stdlib/stats/strided/max: calculate the maximum value of a strided array.
• @stdlib/stats/strided/minsorted: calculate the minimum value of a sorted strided array.
• @stdlib/stats/strided/smaxsorted: calculate the maximum value of a sorted single-precision floating-point strided array.