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Return the minimum and maximum absolute values.
import minmaxabsn from 'https://cdn.jsdelivr.net/gh/stdlib-js/math-base-special-minmaxabsn@esm/index.mjs';You can also import the following named exports from the package:
import { assign } from 'https://cdn.jsdelivr.net/gh/stdlib-js/math-base-special-minmaxabsn@esm/index.mjs';Returns the minimum and maximum absolute values in a single pass.
var v = minmaxabsn( 4.2, 3.14 );
// returns [ 3.14, 4.2 ]
v = minmaxabsn( +0.0, -0.0 );
// returns [ 0.0, 0.0 ]
v = minmaxabsn( 4.2, 3.14, -1.0, -6.8 );
// returns [ 1.0, 6.8 ]If any argument is NaN, the function returns NaN for both the minimum value and the maximum value.
var v = minmaxabsn( 4.2, NaN );
// returns [ NaN, NaN ]
v = minmaxabsn( NaN, 3.14 );
// returns [ NaN, NaN ]Returns the minimum and maximum absolute values in a single pass and assigns results to a provided output array.
import Float64Array from 'https://cdn.jsdelivr.net/gh/stdlib-js/array-float64@esm/index.mjs';
var out = new Float64Array( 2 );
var v = minmaxabsn.assign( 5.0, 3.0, -2.0, 1.0, out, 1, 0 );
// returns <Float64Array>[ 1.0, 5.0 ]
var bool = ( v === out );
// returns true- When an empty set is considered a subset of the extended reals (all real numbers, including positive and negative infinity), positive infinity is the greatest lower bound and negative infinity is the least upper bound. Similar to zero being the identity element for the sum of an empty set and to one being the identity element for the product of an empty set, positive infinity is the identity element for the minimum and negative infinity is the identity element for the maximum, and thus, if not provided any arguments, the function returns positive infinity for both the minimum and maximum absolute values.
<!DOCTYPE html>
<html lang="en">
<body>
<script type="module">
import randu from 'https://cdn.jsdelivr.net/gh/stdlib-js/random-base-randu@esm/index.mjs';
import minmaxabsn from 'https://cdn.jsdelivr.net/gh/stdlib-js/math-base-special-minmaxabsn@esm/index.mjs';
var x;
var y;
var v;
var i;
for ( i = 0; i < 100; i++ ) {
x = ( randu()*100.0 ) - 50.0;
y = ( randu()*100.0 ) - 50.0;
v = minmaxabsn( x, y );
console.log( 'minmaxabs(%d,%d) = [%d, %d]', x, y, v[0], v[1] );
}
</script>
</body>
</html>This package is part of stdlib, a standard library with an emphasis on numerical and scientific computing. The library provides a collection of robust, high performance libraries for mathematics, statistics, streams, utilities, and more.
For more information on the project, filing bug reports and feature requests, and guidance on how to develop stdlib, see the main project repository.
See LICENSE.
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