npm package: @stdlib/strided-base-dmskmap2
Description: Apply a binary function to double-precision floating-point strided input arrays according to a strided mask array and assign results to a double-precision floating-point strided output array.
Author: The Stdlib Authors
Latest version: 0.2.3

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# dmskmap2

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> Apply a binary function to double-precision floating-point strided input arrays according to a strided mask array and assign results to a double-precision floating-point strided output array.

<section class="intro">

</section>

<!-- /.intro -->

<section class="installation">

## Installation

```bash
npm install @stdlib/strided-base-dmskmap2
```

</section>

<section class="usage">

## Usage

```javascript
var dmskmap2 = require( '@stdlib/strided-base-dmskmap2' );
```

#### dmskmap2( N, x, strideX, y, strideY, mask, strideMask, z, strideZ, fcn )

Applies a binary function to double-precision floating-point strided input arrays according to a strided mask array and assigns results to a double-precision floating-point strided output array.

```javascript
var Float64Array = require( '@stdlib/array-float64' );
var Uint8Array = require( '@stdlib/array-uint8' );
var add = require( '@stdlib/number-float64-base-add' );

var x = new Float64Array( [ -2.0, 1.0, -3.0, -5.0, 4.0, 0.0, -1.0, -3.0 ] );
var y = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] );
var z = new Float64Array( x.length );
var m = new Uint8Array( [ 0, 0, 1, 0, 0, 1, 1, 0 ] );

dmskmap2( x.length, x, 1, y, 1, m, 1, z, 1, add );
// z => <Float64Array>[ -1.0, 3.0, 0.0, -1.0, 9.0, 0.0, 0.0, 5.0 ]
```

The function accepts the following arguments:

-   **N**: number of indexed elements.
-   **x**: input [`Float64Array`][@stdlib/array/float64].
-   **strideX**: index increment for `x`.
-   **y**: input [`Float64Array`][@stdlib/array/float64].
-   **strideY**: index increment for `y`.
-   **mask**: mask [`Uint8Array`][@stdlib/array/uint8].
-   **strideMask**: index increment for `mask`.
-   **z**: output [`Float64Array`][@stdlib/array/float64].
-   **strideZ**: index increment for `z`.
-   **fcn**: function to apply.

The `N` and stride parameters determine which elements in the strided arrays are accessed at runtime. For example, to index every other value in `x` and to index the first `N` elements of `y` in reverse order,

```javascript
var Float64Array = require( '@stdlib/array-float64' );
var Uint8Array = require( '@stdlib/array-uint8' );
var add = require( '@stdlib/number-float64-base-add' );

var x = new Float64Array( [ -1.0, -2.0, -3.0, -4.0, -5.0, -6.0 ] );
var y = new Float64Array( [ 1.0, 1.0, 2.0, 2.0, 3.0, 3.0 ] );
var z = new Float64Array( [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ] );
var m = new Uint8Array( [ 0, 0, 1, 0, 0, 1 ] );

dmskmap2( 3, x, 2, y, -1, m, 2, z, 1, add );
// z => <Float64Array>[ 1.0, 0.0, -4.0, 0.0, 0.0, 0.0 ]
```

Note that indexing is relative to the first index. To introduce an offset, use [`typed array`][@stdlib/array/float64] views.

```javascript
var Float64Array = require( '@stdlib/array-float64' );
var Uint8Array = require( '@stdlib/array-uint8' );
var add = require( '@stdlib/number-float64-base-add' );

// Initial arrays...
var x0 = new Float64Array( [ -1.0, -2.0, -3.0, -4.0, -5.0, -6.0 ] );
var y0 = new Float64Array( [ 1.0, 1.0, 2.0, 2.0, 3.0, 3.0 ] );
var z0 = new Float64Array( [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ] );
var m0 = new Uint8Array( [ 0, 0, 1, 0, 0, 1 ] );

// Create offset views...
var x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
var y1 = new Float64Array( y0.buffer, y0.BYTES_PER_ELEMENT*3 ); // start at 4th element
var z1 = new Float64Array( z0.buffer, z0.BYTES_PER_ELEMENT*2 ); // start at 3rd element
var m1 = new Uint8Array( m0.buffer, m0.BYTES_PER_ELEMENT*3 ); // start at 4th element

dmskmap2( 3, x1, -2, y1, 1, m1, 1, z1, 1, add );
// z0 => <Float64Array>[ 0.0, 0.0, -4.0, -1.0, 0.0, 0.0 ]
```

#### dmskmap2.ndarray( N, x, strideX, offsetX, y, strideY, offsetY, mask, strideMask, offsetMask, z, strideZ, offsetZ, fcn )

Applies a binary function to double-precision floating-point strided input arrays according to a strided mask array and assigns results to a double-precision floating-point strided output array using alternative indexing semantics.

```javascript
var Float64Array = require( '@stdlib/array-float64' );
var Uint8Array = require( '@stdlib/array-uint8' );
var add = require( '@stdlib/number-float64-base-add' );

var x = new Float64Array( [ -1.0, -2.0, -3.0, -4.0, -5.0 ] );
var y = new Float64Array( [ 1.0, 1.0, 2.0, 2.0, 3.0 ] );
var z = new Float64Array( [ 0.0, 0.0, 0.0, 0.0, 0.0 ] );
var m = new Uint8Array( [ 0, 0, 1, 0, 0 ] );

dmskmap2.ndarray( x.length, x, 1, 0, y, 1, 0, m, 1, 0, z, 1, 0, add );
// z => <Float64Array>[ 0.0, -1.0, 0.0, -2.0, -2.0 ]
```

The function accepts the following additional arguments:

-   **offsetX**: starting index for `x`.
-   **offsetY**: starting index for `y`.
-   **offsetMask**: starting index for `mask`.
-   **offsetZ**: starting index for `z`.

While [`typed array`][@stdlib/array/float64] views mandate a view offset based on the underlying `buffer`, the offset parameters support indexing semantics based on starting indices. For example, to index every other value in `x` starting from the second value and to index the last `N` elements in `y` in reverse order,

```javascript
var Float64Array = require( '@stdlib/array-float64' );
var Uint8Array = require( '@stdlib/array-uint8' );
var add = require( '@stdlib/number-float64-base-add' );

var x = new Float64Array( [ -1.0, -2.0, -3.0, -4.0, -5.0, -6.0 ] );
var y = new Float64Array( [ 1.0, 1.0, 2.0, 2.0, 3.0, 3.0 ] );
var z = new Float64Array( [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ] );
var m = new Uint8Array( [ 0, 0, 1, 0, 0, 1 ] );

dmskmap2.ndarray( 3, x, 2, 1, y, -1, y.length-1, m, 2, 1, z, 1, 0, add );
// z => <Float64Array>[ 1.0, -1.0, 0.0, 0.0, 0.0, 0.0 ]
```

</section>

<!-- /.usage -->

<section class="notes">

</section>

<!-- /.notes -->

<section class="examples">

## Examples

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

```javascript
var discreteUniform = require( '@stdlib/random-base-discrete-uniform' ).factory;
var bernoulli = require( '@stdlib/random-base-bernoulli' ).factory;
var Float64Array = require( '@stdlib/array-float64' );
var filledarrayBy = require( '@stdlib/array-filled-by' );
var add = require( '@stdlib/number-float64-base-add' );
var dmskmap2 = require( '@stdlib/strided-base-dmskmap2' );

var x = filledarrayBy( 10, 'float64', discreteUniform( -100, 100 ) );
console.log( x );

var y = filledarrayBy( x.length, 'float64', discreteUniform( -100, 100 ) );
console.log( y );

var m = filledarrayBy( x.length, 'uint8', bernoulli( 0.2 ) );
console.log( m );

var z = new Float64Array( x.length );
console.log( z );

dmskmap2.ndarray( x.length, x, 1, 0, y, -1, y.length-1, m, 1, 0, z, 1, 0, add );
console.log( z );
```

</section>

<!-- /.examples -->

<!-- C interface documentation. -->

* * *

<section class="c">

## C APIs

<!-- Section to include introductory text. Make sure to keep an empty line after the intro `section` element and another before the `/section` close. -->

<section class="intro">

</section>

<!-- /.intro -->

<!-- C usage documentation. -->

<section class="usage">

### Usage

```c
#include "stdlib/strided/base/dmskmap2.h"
```

#### stdlib_strided_dmskmap2( N, \*X, strideX, \*Y, strideY, \*Mask, strideMask, \*Z, strideZ, fcn )

Applies a binary function to double-precision floating-point strided input arrays according to a strided mask array and assigns results to a double-precision floating-point strided output array.

```c
#include <stdint.h>

static double add( const double x, const double y ) {
    return x + y;
}

const double X[] = { 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 };
const double Y[] = { 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 };
double Z[] = { 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 };
const uint8_t M[] = { 0, 0, 1, 0, 0, 1 };

const int64_t N = 6;

stdlib_strided_dmskmap2( N, X, 1, Y, 1, M, 1, Z, 1, add );
```

The function accepts the following arguments:

-   **N**: `[in] int64_t` number of indexed elements.
-   **X**: `[in] double*` input array.
-   **strideX** `[in] int64_t` index increment for `X`.
-   **Y**: `[int] double*` input array.
-   **strideY**: `[in] int64_t` index increment for `Y`.
-   **Mask**: `[in] uint8_t*` mask array.
-   **strideMask**: `[in] int64_t` index increment for `Mask`.
-   **Z**: `[out] double*` output array.
-   **strideZ**: `[in] int64_t` index increment for `Z`.
-   **fcn**: `[in] double (*fcn)( double, double )` binary function to apply.

```c
void stdlib_strided_dmskmap2( const int64_t N, const double *X, const int64_t strideX, const double *Y, const int64_t strideY, const uint8_t *Mask, const int64_t strideMask, double *Z, const int64_t strideZ, double (*fcn)( double, double ) );
```

</section>

<!-- /.usage -->

<!-- C API usage notes. Make sure to keep an empty line after the `section` element and another before the `/section` close. -->

<section class="notes">

</section>

<!-- /.notes -->

<!-- C API usage examples. -->

<section class="examples">

### Examples

```c
#include "stdlib/strided/base/dmskmap2.h"
#include <stdint.h>
#include <stdio.h>
#include <inttypes.h>

// Define a callback:
static double add( const double x, const double y ) {
    return x + y;
}

int main( void ) {
    // Create input strided arrays:
    const double X[] = { 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 };
    const double Y[] = { 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 };

    // Create a mask strided array:
    const uint8_t M[] = { 0, 0, 1, 0, 0, 1 };

    // Create an output strided array:
    double Z[] = { 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 };

    // Specify the number of elements:
    const int64_t N = 6;

    // Define the strides:
    const int64_t strideX = 1;
    const int64_t strideY = -1;
    const int64_t strideZ = 1;
    const int64_t strideM = 1;

    // Apply the callback:
    stdlib_strided_dmskmap2( N, X, strideX, Y, strideY, M, strideM, Z, strideZ, add );

    // Print the results:
    for ( int64_t i = 0; i < N; i++ ) {
        printf( "Z[ %"PRId64" ] = %lf\n", i, Z[ i ] );
    }
}
```

</section>

<!-- /.examples -->

</section>

<!-- /.c -->

<!-- Section for related `stdlib` packages. Do not manually edit this section, as it is automatically populated. -->

<section class="related">

* * *

## See Also

-   <span class="package-name">[`@stdlib/strided-base/dmap2`][@stdlib/strided/base/dmap2]</span><span class="delimiter">: </span><span class="description">apply a binary function to double-precision floating-point strided input arrays and assign results to a double-precision floating-point strided output array.</span>
-   <span class="package-name">[`@stdlib/strided-base/dmskmap`][@stdlib/strided/base/dmskmap]</span><span class="delimiter">: </span><span class="description">apply a unary function to a double-precision floating-point strided input array according to a strided mask array and assign results to a double-precision floating-point strided output array.</span>
-   <span class="package-name">[`@stdlib/strided-base/smskmap2`][@stdlib/strided/base/smskmap2]</span><span class="delimiter">: </span><span class="description">apply a binary function to single-precision floating-point strided input arrays according to a strided mask array and assign results to a single-precision floating-point strided output array.</span>

</section>

<!-- /.related -->

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<section class="main-repo" >

* * *

## Notice

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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].

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---

## License

See [LICENSE][stdlib-license].


## Copyright

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

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[@stdlib/array/float64]: https://www.npmjs.com/package/@stdlib/array-float64

[@stdlib/array/uint8]: https://www.npmjs.com/package/@stdlib/array-uint8

<!-- <related-links> -->

[@stdlib/strided/base/dmap2]: https://www.npmjs.com/package/@stdlib/strided-base-dmap2

[@stdlib/strided/base/dmskmap]: https://www.npmjs.com/package/@stdlib/strided-base-dmskmap

[@stdlib/strided/base/smskmap2]: https://www.npmjs.com/package/@stdlib/strided-base-smskmap2

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