npm package: @stdlib/ndarray-vector-float64
Description: Create a double-precision floating-point vector (i.e., a one-dimensional ndarray).
Author: The Stdlib Authors
Latest version: 0.1.1

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# Float64Vector

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> Create a double-precision floating-point vector (i.e., a one-dimensional [ndarray][@stdlib/ndarray/ctor]).

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<section class="intro">

</section>

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<!-- Package usage documentation. -->

<section class="installation">

## Installation

```bash
npm install @stdlib/ndarray-vector-float64
```

</section>

<section class="usage">

## Usage

```javascript
var Float64Vector = require( '@stdlib/ndarray-vector-float64' );
```

#### Float64Vector( \[options] )

Returns a one-dimensional double-precision floating-point [ndarray][@stdlib/ndarray/ctor].

```javascript
var numel = require( '@stdlib/ndarray-numel' );

var arr = new Float64Vector();
// returns <ndarray>

var len = numel( arr );
// returns 0
```

The function accepts the following options:

-   **order**: specifies whether an [ndarray][@stdlib/ndarray/ctor] is `'row-major'` (C-style) or `'column-major'` (Fortran-style). Default: `'row-major'`.
-   **mode**: specifies how to handle indices which exceed array dimensions (see [`ndarray`][@stdlib/ndarray/ctor]). Default: `'throw'`.
-   **readonly**: boolean indicating whether an array should be **read-only**. Default: `false`.

#### Float64Vector( length\[, options] )

Returns a one-dimensional double-precision floating-point [ndarray][@stdlib/ndarray/ctor] having a specified `length`.

```javascript
var numel = require( '@stdlib/ndarray-numel' );

var arr = new Float64Vector( 5 );
// returns <ndarray>

var len1 = numel( arr );
// returns 5
```

#### Float64Vector( obj\[, options] )

Creates a one-dimensional double-precision floating-point [ndarray][@stdlib/ndarray/ctor] from an array-like object or iterable.

```javascript
var numel = require( '@stdlib/ndarray-numel' );

var arr = new Float64Vector( [ 1.0, 2.0, 3.0 ] );
// returns <ndarray>

var len1 = numel( arr );
// returns 3
```

#### Float64Vector( buffer\[, byteOffset\[, length]]\[, options] )

Returns a one-dimensional double-precision floating-point [ndarray][@stdlib/ndarray/ctor] view of an [`ArrayBuffer`][@stdlib/array/buffer].

```javascript
var ArrayBuffer = require( '@stdlib/array-buffer' );
var numel = require( '@stdlib/ndarray-numel' );

var buf = new ArrayBuffer( 64 );

var arr1 = new Float64Vector( buf );
// returns <ndarray>

var len1 = numel( arr1 );
// returns 8

var arr2 = new Float64Vector( buf, 16 );
// returns <ndarray>

var len2 = numel( arr2 );
// returns 6

var arr3 = new Float64Vector( buf, 16, 1 );
// returns <ndarray>

var len3 = numel( arr3 );
// returns 1
```

</section>

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</section>

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<section class="examples">

## Examples

<!-- eslint no-undef: "error" -->

```javascript
var discreteUniform = require( '@stdlib/random-array-discrete-uniform' );
var sum = require( '@stdlib/blas-ext-sum' );
var map = require( '@stdlib/ndarray-map' );
var Float64Vector = require( '@stdlib/ndarray-vector-float64' );

// Create a vector containing random values:
var x = new Float64Vector( discreteUniform( 10, 0, 100 ) );

// Compute the sum:
var v = sum( x );
console.log( v.get() );

// Define a function which applies a threshold to individual values:
function threshold( v ) {
    return ( v > 10 ) ? v : 0;
}

// Apply threshold:
var y = map( x, threshold );

// Recompute the sum:
v = sum( y );
console.log( v.get() );
```

</section>

<!-- /.examples -->

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* * *

## Notice

This package is part of [stdlib][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][stdlib], see the main project [repository][stdlib].

#### Community

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---

## License

See [LICENSE][stdlib-license].


## Copyright

Copyright &copy; 2016-2026. The Stdlib [Authors][stdlib-authors].

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