@stdlib/math-base-special-ceilsd NPM

ceilsd

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

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

Installation

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

Usage

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

ceilsd( x, n, b )

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

var v = ceilsd( 3.141592653589793, 5, 10 );
// returns 3.1416

v = ceilsd( 3.141592653589793, 1, 10 );
// returns 4.0

v = ceilsd( 12368.0, 2, 10 );
// returns 13000.0

v = ceilsd( 0.0313, 2, 2 );
// returns 0.046875

Examples

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

var x;
var y;
var i;

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

C APIs

Usage

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

stdlib_base_ceilsd( x, n, b )

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

double out = stdlib_base_ceilsd( 0.0313, 2, 2 );
// returns 0.046875

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

Examples

#include "stdlib/math/base/special/ceilsd.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_ceilsd( x[ i ], n[ i ], b[ i ] );
        printf( "ceilsd(%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.