snanminabs
Calculate the minimum absolute value of a single-precision floating-point strided array, ignoring
NaN
values.
Usage
var snanminabs = require( '@stdlib/stats/base/snanminabs' );
snanminabs( N, x, strideX )
Computes the minimum absolute value of a single-precision floating-point strided array x
, ignoring NaN
values.
var Float32Array = require( '@stdlib/array/float32' );
var x = new Float32Array( [ 1.0, -2.0, NaN, 2.0 ] );
var v = snanminabs( x.length, x, 1 );
// returns 1.0
The function has the following parameters:
- N: number of indexed elements.
- x: input
Float32Array
. - 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 minimum absolute value of every other element in x
,
var Float32Array = require( '@stdlib/array/float32' );
var x = new Float32Array( [ 1.0, 2.0, -7.0, -2.0, 4.0, 3.0, NaN, NaN ] );
var v = snanminabs( 4, x, 2 );
// returns 1.0
Note that indexing is relative to the first index. To introduce an offset, use typed array
views.
var Float32Array = require( '@stdlib/array/float32' );
var x0 = new Float32Array( [ 2.0, 1.0, -2.0, -2.0, 3.0, 4.0, NaN, NaN ] );
var x1 = new Float32Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
var v = snanminabs( 4, x1, 2 );
// returns 1.0
snanminabs.ndarray( N, x, strideX, offsetX )
Computes the minimum absolute value of a single-precision floating-point strided array, ignoring NaN
values and using alternative indexing semantics.
var Float32Array = require( '@stdlib/array/float32' );
var x = new Float32Array( [ 1.0, -2.0, NaN, 2.0 ] );
var v = snanminabs.ndarray( x.length, x, 1, 0 );
// returns 1.0
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 minimum absolute value for every other element in x
starting from the second element
var Float32Array = require( '@stdlib/array/float32' );
var x = new Float32Array( [ 2.0, 1.0, -2.0, -2.0, 3.0, 4.0, NaN, NaN ] );
var v = snanminabs.ndarray( 4, x, 2, 1 );
// returns 1.0
Notes
- If
N <= 0
, both functions returnNaN
.
Examples
var randu = require( '@stdlib/random/base/randu' );
var round = require( '@stdlib/math/base/special/round' );
var Float32Array = require( '@stdlib/array/float32' );
var snanminabs = require( '@stdlib/stats/base/snanminabs' );
var x;
var i;
x = new Float32Array( 10 );
for ( i = 0; i < x.length; i++ ) {
if ( randu() < 0.2 ) {
x[ i ] = NaN;
} else {
x[ i ] = round( (randu()*100.0) - 50.0 );
}
}
console.log( x );
var v = snanminabs( x.length, x, 1 );
console.log( v );
C APIs
Usage
#include "stdlib/stats/base/snanminabs.h"
stdlib_strided_snanminabs( N, *X, strideX )
Computes the minimum absolute value of a single-precision floating-point strided array x
, ignoring NaN
values.
const float x[] = { 1.0f, -2.0f, 0.0f/0.0f, -4.0f };
float v = stdlib_strided_snanminabs( 4, x, 1 );
// returns 1.0f
The function accepts the following arguments:
- N:
[in] CBLAS_INT
number of indexed elements. - X:
[in] float*
input array. - strideX:
[in] CBLAS_INT
stride length forX
.
float stdlib_strided_snanminabs( const CBLAS_INT N, const float *X, const CBLAS_INT strideX );
stdlib_strided_snanminabs_ndarray( N, *X, strideX, offsetX )
Computes the minimum absolute value of a single-precision floating-point strided array, ignoring NaN
values and using alternative indexing semantics.
const float x[] = { 1.0f, -2.0f, 0.0f/0.0f, -4.0f };
float v = stdlib_strided_snanminabs_ndarray( 4, x, 1, 0 );
// returns 1.0f
The function accepts the following arguments:
- N:
[in] CBLAS_INT
number of indexed elements. - X:
[in] float*
input array. - strideX:
[in] CBLAS_INT
stride length forX
. - offsetX:
[in] CBLAS_INT
starting index forX
.
float stdlib_strided_snanminabs_ndarray( const CBLAS_INT N, const float *X, const CBLAS_INT strideX, const CBLAS_INT offsetX );
Examples
#include "stdlib/stats/base/snanminabs.h"
#include <stdio.h>
int main( void ) {
// Create a strided array:
const float x[] = { 1.0f, -2.0f, -3.0f, 4.0f, -5.0f, -6.0f, 7.0f, -8.0f, 0.0f/0.0f, 0.0f/0.0f };
// Specify the number of elements:
const int N = 5;
// Specify the stride length:
const int strideX = 2;
// Compute the minimum absolute value:
float v = stdlib_strided_snanminabs( N, x, strideX );
// Print the result:
printf( "minabs: %f\n", v );
}