@stdlib/math-base-special-fast-alpha-max-plus-beta-min
v0.3.0
Published
Compute the hypotenuse using the alpha max plus beta min algorithm.
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Alpha Max Plus Beta Min
Compute the hypotenuse using the alpha max plus beta min algorithm.
Installation
npm install @stdlib/math-base-special-fast-alpha-max-plus-beta-min
Usage
var ampbm = require( '@stdlib/math-base-special-fast-alpha-max-plus-beta-min' );
ampbm( x, y )
Computes the hypotenuse using the alpha max plus beta min algorithm.
var h = ampbm( -5.0, 12.0 );
// returns ~13.5
ampbm.factory( alpha, beta, [nonnegative[, ints]] )
Returns a function for computing the hypotenuse using coefficients alpha
and beta
.
var hypot = ampbm.factory( 1.0, 0.5 );
var h = hypot( -5.0, 12.0 );
// returns 14.5
If the returned function should only expect nonnegative arguments, set the nonnegative
argument to true
.
var hypot = ampbm.factory( 1.0, 0.5, true );
var h = hypot( 5.0, 12.0 );
// returns 14.5
If the returned function should only expect signed 32-bit integers, set the ints
argument to true
.
var hypot = ampbm.factory( 1.0, 0.5, false, true );
var h = hypot( -5.0, 12.0 );
// returns 14
If the returned function should only expect unsigned 32-bit integer valued arguments, set the nonnegative
and ints
arguments to true
.
var hypot = ampbm.factory( 1.0, 0.5, true, true );
var h = hypot( 5.0, 12.0 );
// returns 14
Notes
- The algorithm computes only an approximation. For precise results, use
hypot
.
Examples
var randu = require( '@stdlib/random-base-randu' );
var round = require( '@stdlib/math-base-special-round' );
var ampbm = require( '@stdlib/math-base-special-fast-alpha-max-plus-beta-min' );
var x;
var y;
var h;
var i;
for ( i = 0; i < 100; i++ ) {
x = round( randu()*100.0 ) - 50.0;
y = round( randu()*100.0 ) - 50.0;
h = ampbm( x, y );
console.log( 'hypot(%d,%d) = %d', x, y, h );
}
C APIs
Usage
#include "stdlib/math/base/special/fast/alpha_max_plus_beta_min.h"
stdlib_base_fast_ampbm( x, y )
Computes the hypotenuse using the alpha max plus beta min algorithm.
double h = stdlib_base_fast_ampbm( -5.0, 12.0 );
// returns ~13.5
Examples
#include "stdlib/math/base/special/fast/alpha_max_plus_beta_min.h"
#include <stdio.h>
int main( void ) {
const double x[] = { 3.0, 4.0, 5.0, 12.0 };
double y;
int i;
for ( i = 0; i < 4; i += 2 ) {
y = stdlib_base_fast_ampbm( x[ i ], x[ i + 1 ] );
printf( "ampbm(%lf, %lf) = %lf\n", x[ i ], x[ i + 1 ], y );
}
}
References
- Lyons, Richard G. 2011. Understanding Digital Signal Processing, 3rd Edition. Prentice Hall.
See Also
@stdlib/math-base/special/hypot
: compute the hypotenuse avoiding overflow and underflow.
Notice
This package is part of stdlib, a standard library for JavaScript and Node.js, 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.
Community
License
See LICENSE.
Copyright
Copyright © 2016-2024. The Stdlib Authors.