|
| 1 | +<!-- |
| 2 | +
|
| 3 | +@license Apache-2.0 |
| 4 | +
|
| 5 | +Copyright (c) 2021 The Stdlib Authors. |
| 6 | +
|
| 7 | +Licensed under the Apache License, Version 2.0 (the "License"); |
| 8 | +you may not use this file except in compliance with the License. |
| 9 | +You may obtain a copy of the License at |
| 10 | +
|
| 11 | + http://www.apache.org/licenses/LICENSE-2.0 |
| 12 | +
|
| 13 | +Unless required by applicable law or agreed to in writing, software |
| 14 | +distributed under the License is distributed on an "AS IS" BASIS, |
| 15 | +WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| 16 | +See the License for the specific language governing permissions and |
| 17 | +limitations under the License. |
| 18 | +
|
| 19 | +--> |
| 20 | + |
| 21 | +# dmsksqrt |
| 22 | + |
| 23 | +> Compute the principal [square root][@stdlib/math/base/special/sqrt] for each element in a double-precision floating-point strided array according to a strided mask array. |
| 24 | +
|
| 25 | +<section class="intro"> |
| 26 | + |
| 27 | +</section> |
| 28 | + |
| 29 | +<!-- /.intro --> |
| 30 | + |
| 31 | +<section class="usage"> |
| 32 | + |
| 33 | +## Usage |
| 34 | + |
| 35 | +```javascript |
| 36 | +var dmsksqrt = require( '@stdlib/math/strided/special/dmsksqrt' ); |
| 37 | +``` |
| 38 | + |
| 39 | +#### dmsksqrt( N, x, sx, m, sm, y, sy ) |
| 40 | + |
| 41 | +Computes the principal [square root][@stdlib/math/base/special/sqrt] for each element in a double-precision floating-point strided array according to a strided mask array. |
| 42 | + |
| 43 | +```javascript |
| 44 | +var Float64Array = require( '@stdlib/array/float64' ); |
| 45 | +var Uint8Array = require( '@stdlib/array/uint8' ); |
| 46 | + |
| 47 | +var x = new Float64Array( [ 0.0, 4.0, 9.0, 12.0, 24.0 ] ); |
| 48 | +var m = new Uint8Array( [ 0, 0, 1, 0, 1 ] ); |
| 49 | +var y = new Float64Array( x.length ); |
| 50 | + |
| 51 | +dmsksqrt( x.length, x, 1, m, 1, y, 1 ); |
| 52 | +// y => <Float64Array>[ 0.0, 2.0, 0.0, ~3.464, 0.0 ] |
| 53 | +``` |
| 54 | + |
| 55 | +The function accepts the following arguments: |
| 56 | + |
| 57 | +- **N**: number of indexed elements. |
| 58 | +- **x**: input [`Float64Array`][@stdlib/array/float64]. |
| 59 | +- **sx**: index increment for `x`. |
| 60 | +- **m**: mask [`Uint8Array`][@stdlib/array/uint8]. |
| 61 | +- **sm**: index increment for `m`. |
| 62 | +- **y**: output [`Float64Array`][@stdlib/array/float64]. |
| 63 | +- **sy**: index increment for `y`. |
| 64 | + |
| 65 | +The `N` and stride parameters determine which strided array elements 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, |
| 66 | + |
| 67 | +```javascript |
| 68 | +var Float64Array = require( '@stdlib/array/float64' ); |
| 69 | +var Uint8Array = require( '@stdlib/array/uint8' ); |
| 70 | + |
| 71 | +var x = new Float64Array( [ 0.0, 4.0, 9.0, 12.0, 24.0, 64.0 ] ); |
| 72 | +var m = new Uint8Array( [ 0, 0, 1, 0, 1, 1 ] ); |
| 73 | +var y = new Float64Array( [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ] ); |
| 74 | + |
| 75 | +dmsksqrt( 3, x, 2, m, 2, y, -1 ); |
| 76 | +// y => <Float64Array>[ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ] |
| 77 | +``` |
| 78 | + |
| 79 | +Note that indexing is relative to the first index. To introduce an offset, use [`typed array`][@stdlib/array/float64] views. |
| 80 | + |
| 81 | +```javascript |
| 82 | +var Float64Array = require( '@stdlib/array/float64' ); |
| 83 | +var Uint8Array = require( '@stdlib/array/uint8' ); |
| 84 | + |
| 85 | +// Initial arrays... |
| 86 | +var x0 = new Float64Array( [ 0.0, 4.0, 9.0, 12.0, 24.0, 64.0 ] ); |
| 87 | +var m0 = new Uint8Array( [ 0, 0, 1, 0, 1, 1 ] ); |
| 88 | +var y0 = new Float64Array( [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ] ); |
| 89 | + |
| 90 | +// Create offset views... |
| 91 | +var x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element |
| 92 | +var m1 = new Uint8Array( m0.buffer, m0.BYTES_PER_ELEMENT*1 ); // start at 2nd element |
| 93 | +var y1 = new Float64Array( y0.buffer, y0.BYTES_PER_ELEMENT*3 ); // start at 4th element |
| 94 | + |
| 95 | +dmsksqrt( 3, x1, -2, m1, -2, y1, 1 ); |
| 96 | +// y0 => <Float64Array>[ 0.0, 0.0, 0.0, 0.0, ~3.464, 2.0 ] |
| 97 | +``` |
| 98 | + |
| 99 | +#### dmsksqrt.ndarray( N, x, sx, ox, m, sm, om, y, sy, oy ) |
| 100 | + |
| 101 | +Computes the principal [square root][@stdlib/math/base/special/sqrt] for each element in a double-precision floating-point strided array according to a strided mask array using alternative indexing semantics. |
| 102 | + |
| 103 | +```javascript |
| 104 | +var Float64Array = require( '@stdlib/array/float64' ); |
| 105 | +var Uint8Array = require( '@stdlib/array/uint8' ); |
| 106 | + |
| 107 | +var x = new Float64Array( [ 0.0, 4.0, 9.0, 12.0, 24.0 ] ); |
| 108 | +var m = new Uint8Array( [ 0, 0, 1, 0, 1 ] ); |
| 109 | +var y = new Float64Array( [ 0.0, 0.0, 0.0, 0.0, 0.0 ] ); |
| 110 | + |
| 111 | +dmsksqrt.ndarray( x.length, x, 1, 0, m, 1, 0, y, 1, 0 ); |
| 112 | +// y => <Float64Array>[ 0.0, 2.0, 0.0, ~3.464, 0.0 ] |
| 113 | +``` |
| 114 | + |
| 115 | +The function accepts the following additional arguments: |
| 116 | + |
| 117 | +- **ox**: starting index for `x`. |
| 118 | +- **om**: starting index for `m`. |
| 119 | +- **oy**: starting index for `y`. |
| 120 | + |
| 121 | +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`, |
| 122 | + |
| 123 | +```javascript |
| 124 | +var Float64Array = require( '@stdlib/array/float64' ); |
| 125 | +var Uint8Array = require( '@stdlib/array/uint8' ); |
| 126 | + |
| 127 | +var x = new Float64Array( [ 0.0, 4.0, 9.0, 12.0, 24.0, 64.0 ] ); |
| 128 | +var m = new Uint8Array( [ 0, 0, 1, 0, 1, 1 ] ); |
| 129 | +var y = new Float64Array( [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ] ); |
| 130 | + |
| 131 | +dmsksqrt.ndarray( 3, x, 2, 1, m, 2, 1, y, -1, y.length-1 ); |
| 132 | +// y => <Float64Array>[ 0.0, 0.0, 0.0, 0.0, ~3.464, 2.0 ] |
| 133 | +``` |
| 134 | + |
| 135 | +</section> |
| 136 | + |
| 137 | +<!-- /.usage --> |
| 138 | + |
| 139 | +<section class="notes"> |
| 140 | + |
| 141 | +</section> |
| 142 | + |
| 143 | +<!-- /.notes --> |
| 144 | + |
| 145 | +<section class="examples"> |
| 146 | + |
| 147 | +## Examples |
| 148 | + |
| 149 | +<!-- eslint no-undef: "error" --> |
| 150 | + |
| 151 | +```javascript |
| 152 | +var uniform = require( '@stdlib/random/base/uniform' ); |
| 153 | +var Float64Array = require( '@stdlib/array/float64' ); |
| 154 | +var Uint8Array = require( '@stdlib/array/uint8' ); |
| 155 | +var dmsksqrt = require( '@stdlib/math/strided/special/dmsksqrt' ); |
| 156 | + |
| 157 | +var x = new Float64Array( 10 ); |
| 158 | +var m = new Uint8Array( 10 ); |
| 159 | +var y = new Float64Array( 10 ); |
| 160 | + |
| 161 | +var i; |
| 162 | +for ( i = 0; i < x.length; i++ ) { |
| 163 | + x[ i ] = uniform( 0.0, 200.0 ); |
| 164 | + if ( uniform( 0.0, 1.0 ) < 0.5 ) { |
| 165 | + m[ i ] = 1; |
| 166 | + } |
| 167 | +} |
| 168 | +console.log( x ); |
| 169 | +console.log( m ); |
| 170 | +console.log( y ); |
| 171 | + |
| 172 | +dmsksqrt.ndarray( x.length, x, 1, 0, m, 1, 0, y, -1, y.length-1 ); |
| 173 | +console.log( y ); |
| 174 | +``` |
| 175 | + |
| 176 | +</section> |
| 177 | + |
| 178 | +<!-- /.examples --> |
| 179 | + |
| 180 | +<!-- C interface documentation. --> |
| 181 | + |
| 182 | +* * * |
| 183 | + |
| 184 | +<section class="c"> |
| 185 | + |
| 186 | +## C APIs |
| 187 | + |
| 188 | +<!-- Section to include introductory text. Make sure to keep an empty line after the intro `section` element and another before the `/section` close. --> |
| 189 | + |
| 190 | +<section class="intro"> |
| 191 | + |
| 192 | +</section> |
| 193 | + |
| 194 | +<!-- /.intro --> |
| 195 | + |
| 196 | +<!-- C usage documentation. --> |
| 197 | + |
| 198 | +<section class="usage"> |
| 199 | + |
| 200 | +### Usage |
| 201 | + |
| 202 | +```c |
| 203 | +#include "stdlib/math/strided/special/dmsksqrt.h" |
| 204 | +``` |
| 205 | + |
| 206 | +#### stdlib_strided_dmsksqrt( N, \*X, strideX, \*Mask, strideMask, \*Y, strideY ) |
| 207 | + |
| 208 | +Computes the principal [square root][@stdlib/math/base/special/sqrt] for each element in a double-precision floating-point strided array according to a strided mask array. |
| 209 | + |
| 210 | +```c |
| 211 | +#include <stdint.h> |
| 212 | + |
| 213 | +double X[] = { 0.0, 4.0, 9.0, 12.0, 24.0, 64.0, 81.0, 101.0 }; |
| 214 | +uint8_t Mask[] = { 0, 0, 1, 0, 1, 1, 0, 0 }; |
| 215 | +double Y[] = { 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 }; |
| 216 | + |
| 217 | +int64_t N = 4; |
| 218 | + |
| 219 | +stdlib_strided_dmsksqrt( N, X, 2, Mask, 2, Y, 2 ); |
| 220 | +``` |
| 221 | +
|
| 222 | +The function accepts the following arguments: |
| 223 | +
|
| 224 | +- **N**: `[in] int64_t` number of indexed elements. |
| 225 | +- **X**: `[in] double*` input array. |
| 226 | +- **strideX**: `[in] int64_t` index increment for `X`. |
| 227 | +- **Mask**: `[in] uint8_t*` input array. |
| 228 | +- **strideMask**: `[in] int64_t` index increment for `Mask`. |
| 229 | +- **Y**: `[out] double*` output array. |
| 230 | +- **strideY**: `[in] int64_t` index increment for `Y`. |
| 231 | +
|
| 232 | +```c |
| 233 | +void stdlib_strided_dmsksqrt( const int64_t N, const double *X, const int64_t strideX, const uint8_t *Mask, const int64_t strideMask, double *Y, const int64_t strideY ); |
| 234 | +``` |
| 235 | + |
| 236 | +</section> |
| 237 | + |
| 238 | +<!-- /.usage --> |
| 239 | + |
| 240 | +<!-- C API usage notes. Make sure to keep an empty line after the `section` element and another before the `/section` close. --> |
| 241 | + |
| 242 | +<section class="notes"> |
| 243 | + |
| 244 | +</section> |
| 245 | + |
| 246 | +<!-- /.notes --> |
| 247 | + |
| 248 | +<!-- C API usage examples. --> |
| 249 | + |
| 250 | +<section class="examples"> |
| 251 | + |
| 252 | +### Examples |
| 253 | + |
| 254 | +```c |
| 255 | +#include "stdlib/math/strided/special/dmsksqrt.h" |
| 256 | +#include <stdint.h> |
| 257 | +#include <stdio.h> |
| 258 | + |
| 259 | +int main() { |
| 260 | + // Create an input strided array: |
| 261 | + double X[] = { 0.0, 4.0, 9.0, 12.0, 24.0, 64.0, 81.0, 101.0 }; |
| 262 | + |
| 263 | + // Create a mask strided array: |
| 264 | + uint8_t M[] = { 0, 0, 1, 0, 1, 1, 0, 0 }; |
| 265 | + |
| 266 | + // Create an output strided array: |
| 267 | + double Y[] = { 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 }; |
| 268 | + |
| 269 | + // Specify the number of elements: |
| 270 | + int64_t N = 4; |
| 271 | + |
| 272 | + // Specify the stride lengths: |
| 273 | + int64_t strideX = 2; |
| 274 | + int64_t strideM = 2; |
| 275 | + int64_t strideY = 2; |
| 276 | + |
| 277 | + // Compute the results: |
| 278 | + stdlib_strided_dmsksqrt( N, X, strideX, M, strideM, Y, strideY ); |
| 279 | + |
| 280 | + // Print the results: |
| 281 | + for ( int i = 0; i < 8; i++ ) { |
| 282 | + printf( "Y[ %i ] = %lf\n", i, Y[ i ] ); |
| 283 | + } |
| 284 | +} |
| 285 | +``` |
| 286 | + |
| 287 | +</section> |
| 288 | + |
| 289 | +<!-- /.examples --> |
| 290 | + |
| 291 | +</section> |
| 292 | + |
| 293 | +<!-- /.c --> |
| 294 | + |
| 295 | +<section class="links"> |
| 296 | + |
| 297 | +[@stdlib/array/float64]: https://github.com/stdlib-js/stdlib |
| 298 | + |
| 299 | +[@stdlib/math/base/special/sqrt]: https://github.com/stdlib-js/stdlib |
| 300 | + |
| 301 | +[@stdlib/array/uint8]: https://github.com/stdlib-js/stdlib |
| 302 | + |
| 303 | +</section> |
| 304 | + |
| 305 | +<!-- /.links --> |
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