@stdlib/math-base-special-floorsd NPM

floorsd

$NPM version$ $Build Status$ $Coverage Status$

Round a numeric value to the nearest number toward negative infinity with N significant figures.

Installation

npm install @stdlib/math-base-special-floorsd

Usage

var floorsd = require( '@stdlib/math-base-special-floorsd' );

floorsd( x, n, b )

Rounds a numeric value to the nearest number toward negative infinity with n significant figures.

var v = floorsd( 3.141592653589793, 5, 10 );
// returns 3.1415

v = floorsd( 3.141592653589793, 1, 10 );
// returns 3.0

v = floorsd( 12368.0, 2, 10 );
// returns 12000.0

v = floorsd( 0.0313, 2, 2 );
// returns 0.03125

Examples

var randu = require( '@stdlib/random-base-randu' );
var floorsd = require( '@stdlib/math-base-special-floorsd' );

var x;
var y;
var i;

for ( i = 0; i < 100; i++ ) {
    x = (randu()*10000.0) - 5000.0;
    y = floorsd( x, 5, 10 );
    console.log( 'x: %d. Rounded: %d.', x, y );
}

C APIs

Usage

#include "stdlib/math/base/special/floorsd.h"

stdlib_base_floorsd( x, n, b )

Rounds a numeric value to the nearest number toward negative infinity with n significant figures.

double out = stdlib_base_floorsd( 0.0313, 2, 2 );
// returns 0.03125

The function accepts the following arguments:

x: [in] double input value.
n: [in] int32_t number of significant figures.
b: [in] int32_t base.

double stdlib_base_floorsd( const double x, const int32_t n, const int32_t b );

Examples

#include "stdlib/math/base/special/floorsd.h"
#include <stdio.h>
#include <stdint.h>

int main( void ) {
    const double x[] = { -5.0, -3.89, -2.78, -1.67, -0.56, 0.56, 1.67, 2.78, 3.89, 5.0 };
    const int32_t n[] = { 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 };
    const int32_t b[] = { 20, 19, 18, 17, 16, 15, 14, 13, 12, 11 };

    double v;
    int i;
    for ( i = 0; i < 10; i++ ) {
        v = stdlib_base_floorsd( x[ i ], n[ i ], b[ i ] );
        printf( "floorsd(%lf, %d, %d) = %lf\n", x[ i ], n[ i ], b[ i ], v );
    }
}

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.