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index.d.ts
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index.d.ts
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/*
* @license Apache-2.0
*
* Copyright (c) 2021 The Stdlib Authors.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
// TypeScript Version: 2.0
/* tslint:disable:max-line-length */
/* tslint:disable:max-file-line-count */
import dapx = require( '@stdlib/blas/ext/base/dapx' );
import dapxsum = require( '@stdlib/blas/ext/base/dapxsum' );
import dapxsumkbn = require( '@stdlib/blas/ext/base/dapxsumkbn' );
import dapxsumkbn2 = require( '@stdlib/blas/ext/base/dapxsumkbn2' );
import dapxsumors = require( '@stdlib/blas/ext/base/dapxsumors' );
import dapxsumpw = require( '@stdlib/blas/ext/base/dapxsumpw' );
import dasumpw = require( '@stdlib/blas/ext/base/dasumpw' );
import dcusum = require( '@stdlib/blas/ext/base/dcusum' );
import dcusumkbn = require( '@stdlib/blas/ext/base/dcusumkbn' );
import dcusumkbn2 = require( '@stdlib/blas/ext/base/dcusumkbn2' );
import dcusumors = require( '@stdlib/blas/ext/base/dcusumors' );
import dcusumpw = require( '@stdlib/blas/ext/base/dcusumpw' );
import dfill = require( '@stdlib/blas/ext/base/dfill' );
import dnanasum = require( '@stdlib/blas/ext/base/dnanasum' );
import dnanasumors = require( '@stdlib/blas/ext/base/dnanasumors' );
import dnannsum = require( '@stdlib/blas/ext/base/dnannsum' );
import dnannsumkbn = require( '@stdlib/blas/ext/base/dnannsumkbn' );
import dnannsumkbn2 = require( '@stdlib/blas/ext/base/dnannsumkbn2' );
import dnannsumors = require( '@stdlib/blas/ext/base/dnannsumors' );
import dnannsumpw = require( '@stdlib/blas/ext/base/dnannsumpw' );
import dnansum = require( '@stdlib/blas/ext/base/dnansum' );
import dnansumkbn = require( '@stdlib/blas/ext/base/dnansumkbn' );
import dnansumkbn2 = require( '@stdlib/blas/ext/base/dnansumkbn2' );
import dnansumors = require( '@stdlib/blas/ext/base/dnansumors' );
import dnansumpw = require( '@stdlib/blas/ext/base/dnansumpw' );
import drev = require( '@stdlib/blas/ext/base/drev' );
import dsapxsum = require( '@stdlib/blas/ext/base/dsapxsum' );
import dsapxsumpw = require( '@stdlib/blas/ext/base/dsapxsumpw' );
import dsnannsumors = require( '@stdlib/blas/ext/base/dsnannsumors' );
import dsnansum = require( '@stdlib/blas/ext/base/dsnansum' );
import dsnansumors = require( '@stdlib/blas/ext/base/dsnansumors' );
import dsnansumpw = require( '@stdlib/blas/ext/base/dsnansumpw' );
import dsort2hp = require( '@stdlib/blas/ext/base/dsort2hp' );
import dsort2ins = require( '@stdlib/blas/ext/base/dsort2ins' );
import dsort2sh = require( '@stdlib/blas/ext/base/dsort2sh' );
import dsorthp = require( '@stdlib/blas/ext/base/dsorthp' );
import dsortins = require( '@stdlib/blas/ext/base/dsortins' );
import dsortsh = require( '@stdlib/blas/ext/base/dsortsh' );
import dssum = require( '@stdlib/blas/ext/base/dssum' );
import dssumors = require( '@stdlib/blas/ext/base/dssumors' );
import dssumpw = require( '@stdlib/blas/ext/base/dssumpw' );
import dsum = require( '@stdlib/blas/ext/base/dsum' );
import dsumkbn = require( '@stdlib/blas/ext/base/dsumkbn' );
import dsumkbn2 = require( '@stdlib/blas/ext/base/dsumkbn2' );
import dsumors = require( '@stdlib/blas/ext/base/dsumors' );
import dsumpw = require( '@stdlib/blas/ext/base/dsumpw' );
import gapx = require( '@stdlib/blas/ext/base/gapx' );
import gapxsum = require( '@stdlib/blas/ext/base/gapxsum' );
import gapxsumkbn = require( '@stdlib/blas/ext/base/gapxsumkbn' );
import gapxsumkbn2 = require( '@stdlib/blas/ext/base/gapxsumkbn2' );
import gapxsumors = require( '@stdlib/blas/ext/base/gapxsumors' );
import gapxsumpw = require( '@stdlib/blas/ext/base/gapxsumpw' );
import gasumpw = require( '@stdlib/blas/ext/base/gasumpw' );
import gcusum = require( '@stdlib/blas/ext/base/gcusum' );
import gcusumkbn = require( '@stdlib/blas/ext/base/gcusumkbn' );
import gcusumkbn2 = require( '@stdlib/blas/ext/base/gcusumkbn2' );
import gcusumors = require( '@stdlib/blas/ext/base/gcusumors' );
import gcusumpw = require( '@stdlib/blas/ext/base/gcusumpw' );
import gfill = require( '@stdlib/blas/ext/base/gfill' );
import gfillBy = require( '@stdlib/blas/ext/base/gfill-by' );
import gnannsumkbn = require( '@stdlib/blas/ext/base/gnannsumkbn' );
import gnansum = require( '@stdlib/blas/ext/base/gnansum' );
import gnansumkbn = require( '@stdlib/blas/ext/base/gnansumkbn' );
import gnansumkbn2 = require( '@stdlib/blas/ext/base/gnansumkbn2' );
import gnansumors = require( '@stdlib/blas/ext/base/gnansumors' );
import gnansumpw = require( '@stdlib/blas/ext/base/gnansumpw' );
import grev = require( '@stdlib/blas/ext/base/grev' );
import gsort2hp = require( '@stdlib/blas/ext/base/gsort2hp' );
import gsort2ins = require( '@stdlib/blas/ext/base/gsort2ins' );
import gsort2sh = require( '@stdlib/blas/ext/base/gsort2sh' );
import gsorthp = require( '@stdlib/blas/ext/base/gsorthp' );
import gsortins = require( '@stdlib/blas/ext/base/gsortins' );
import gsortsh = require( '@stdlib/blas/ext/base/gsortsh' );
import gsum = require( '@stdlib/blas/ext/base/gsum' );
import gsumkbn = require( '@stdlib/blas/ext/base/gsumkbn' );
import gsumkbn2 = require( '@stdlib/blas/ext/base/gsumkbn2' );
import gsumors = require( '@stdlib/blas/ext/base/gsumors' );
import gsumpw = require( '@stdlib/blas/ext/base/gsumpw' );
import sapx = require( '@stdlib/blas/ext/base/sapx' );
import sapxsum = require( '@stdlib/blas/ext/base/sapxsum' );
import sapxsumkbn = require( '@stdlib/blas/ext/base/sapxsumkbn' );
import sapxsumkbn2 = require( '@stdlib/blas/ext/base/sapxsumkbn2' );
import sapxsumors = require( '@stdlib/blas/ext/base/sapxsumors' );
import sapxsumpw = require( '@stdlib/blas/ext/base/sapxsumpw' );
import sasumpw = require( '@stdlib/blas/ext/base/sasumpw' );
import scusum = require( '@stdlib/blas/ext/base/scusum' );
import scusumkbn = require( '@stdlib/blas/ext/base/scusumkbn' );
import scusumkbn2 = require( '@stdlib/blas/ext/base/scusumkbn2' );
import scusumors = require( '@stdlib/blas/ext/base/scusumors' );
import scusumpw = require( '@stdlib/blas/ext/base/scusumpw' );
import sdsapxsum = require( '@stdlib/blas/ext/base/sdsapxsum' );
import sdsapxsumpw = require( '@stdlib/blas/ext/base/sdsapxsumpw' );
import sdsnansum = require( '@stdlib/blas/ext/base/sdsnansum' );
import sdsnansumpw = require( '@stdlib/blas/ext/base/sdsnansumpw' );
import sdssum = require( '@stdlib/blas/ext/base/sdssum' );
import sdssumpw = require( '@stdlib/blas/ext/base/sdssumpw' );
import sfill = require( '@stdlib/blas/ext/base/sfill' );
import snansum = require( '@stdlib/blas/ext/base/snansum' );
import snansumkbn = require( '@stdlib/blas/ext/base/snansumkbn' );
import snansumkbn2 = require( '@stdlib/blas/ext/base/snansumkbn2' );
import snansumors = require( '@stdlib/blas/ext/base/snansumors' );
import snansumpw = require( '@stdlib/blas/ext/base/snansumpw' );
import srev = require( '@stdlib/blas/ext/base/srev' );
import ssort2hp = require( '@stdlib/blas/ext/base/ssort2hp' );
import ssort2ins = require( '@stdlib/blas/ext/base/ssort2ins' );
import ssort2sh = require( '@stdlib/blas/ext/base/ssort2sh' );
import ssorthp = require( '@stdlib/blas/ext/base/ssorthp' );
import ssortins = require( '@stdlib/blas/ext/base/ssortins' );
import ssortsh = require( '@stdlib/blas/ext/base/ssortsh' );
import ssum = require( '@stdlib/blas/ext/base/ssum' );
import ssumkbn = require( '@stdlib/blas/ext/base/ssumkbn' );
import ssumkbn2 = require( '@stdlib/blas/ext/base/ssumkbn2' );
import ssumors = require( '@stdlib/blas/ext/base/ssumors' );
import ssumpw = require( '@stdlib/blas/ext/base/ssumpw' );
/**
* Interface describing the `base` namespace.
*/
interface Namespace {
/**
* Adds a constant to each element in a double-precision floating-point strided array.
*
* @param N - number of indexed elements
* @param alpha - constant
* @param x - input array
* @param stride - stride length
* @returns `x`
*
* @example
* var Float64Array = require( `@stdlib/array/float64` );
*
* var x = new Float64Array( [ -2.0, 1.0, 3.0, -5.0, 4.0, 0.0, -1.0, -3.0 ] );
*
* ns.dapx( x.length, 5.0, x, 1 );
* // x => <Float64Array>[ 3.0, 6.0, 8.0, 0.0, 9.0, 5.0, 4.0, 2.0 ]
*
* @example
* var Float64Array = require( `@stdlib/array/float64` );
*
* var x = new Float64Array( [ -2.0, 1.0, 3.0, -5.0, 4.0, 0.0, -1.0, -3.0 ] );
*
* ns.dapx.ndarray( x.length, 5.0, x, 1, 0 );
* // x => <Float64Array>[ 3.0, 6.0, 8.0, 0.0, 9.0, 5.0, 4.0, 2.0 ]
*/
dapx: typeof dapx;
/**
* Adds a constant to each double-precision floating-point strided array element and computes the sum.
*
* @param N - number of indexed elements
* @param alpha - constant
* @param x - input array
* @param stride - stride length
* @returns sum
*
* @example
* var Float64Array = require( `@stdlib/array/float64` );
*
* var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );
*
* var v = ns.dapxsum( x.length, 5.0, x, 1 );
* // returns 16.0
*
* @example
* var Float64Array = require( `@stdlib/array/float64` );
*
* var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );
*
* var v = ns.dapxsum.ndarray( x.length, 5.0, x, 1, 0 );
* // returns 16.0
*/
dapxsum: typeof dapxsum;
/**
* Adds a constant to each double-precision floating-point strided array element and computes the sum using an improved Kahan–Babuška algorithm.
*
* @param N - number of indexed elements
* @param alpha - constant
* @param x - input array
* @param stride - stride length
* @returns sum
*
* @example
* var Float64Array = require( `@stdlib/array/float64` );
*
* var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );
*
* var v = ns.dapxsumkbn( x.length, 5.0, x, 1 );
* // returns 16.0
*
* @example
* var Float64Array = require( `@stdlib/array/float64` );
*
* var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );
*
* var v = ns.dapxsumkbn.ndarray( x.length, 5.0, x, 1, 0 );
* // returns 16.0
*/
dapxsumkbn: typeof dapxsumkbn;
/**
* Adds a constant to each double-precision floating-point strided array element and computes the sum using a second-order iterative Kahan–Babuška algorithm.
*
* @param N - number of indexed elements
* @param alpha - constant
* @param x - input array
* @param stride - stride length
* @returns sum
*
* @example
* var Float64Array = require( `@stdlib/array/float64` );
*
* var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );
*
* var v = ns.dapxsumkbn2( x.length, 5.0, x, 1 );
* // returns 16.0
*
* @example
* var Float64Array = require( `@stdlib/array/float64` );
*
* var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );
*
* var v = ns.dapxsumkbn2.ndarray( x.length, 5.0, x, 1, 0 );
* // returns 16.0
*/
dapxsumkbn2: typeof dapxsumkbn2;
/**
* Adds a constant to each double-precision floating-point strided array element and computes the sum using ordinary recursive summation.
*
* @param N - number of indexed elements
* @param alpha - constant
* @param x - input array
* @param stride - stride length
* @returns sum
*
* @example
* var Float64Array = require( `@stdlib/array/float64` );
*
* var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );
*
* var v = ns.dapxsumors( x.length, 5.0, x, 1 );
* // returns 16.0
*
* @example
* var Float64Array = require( `@stdlib/array/float64` );
*
* var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );
*
* var v = ns.dapxsumors.ndarray( x.length, 5.0, x, 1, 0 );
* // returns 16.0
*/
dapxsumors: typeof dapxsumors;
/**
* Adds a constant to each double-precision floating-point strided array element and computes the sum using pairwise summation.
*
* @param N - number of indexed elements
* @param alpha - constant
* @param x - input array
* @param stride - stride length
* @returns sum
*
* @example
* var Float64Array = require( `@stdlib/array/float64` );
*
* var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );
*
* var v = ns.dapxsumpw( x.length, 5.0, x, 1 );
* // returns 16.0
*
* @example
* var Float64Array = require( `@stdlib/array/float64` );
*
* var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );
*
* var v = ns.dapxsumpw.ndarray( x.length, 5.0, x, 1, 0 );
* // returns 16.0
*/
dapxsumpw: typeof dapxsumpw;
/**
* Computes the sum of absolute values (L1 norm) of double-precision floating-point strided array elements using pairwise summation.
*
* @param N - number of indexed elements
* @param x - input array
* @param stride - stride length
* @returns sum
*
* @example
* var Float64Array = require( `@stdlib/array/float64` );
*
* var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );
*
* var v = ns.dasumpw( x.length, x, 1 );
* // returns 1.0
*
* @example
* var Float64Array = require( `@stdlib/array/float64` );
*
* var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );
*
* var v = ns.dasumpw.ndarray( x.length, x, 1, 0 );
* // returns 1.0
*/
dasumpw: typeof dasumpw;
/**
* Computes the cumulative sum of double-precision floating-point strided array elements.
*
* @param N - number of indexed elements
* @param sum - initial sum
* @param x - input array
* @param strideX - `x` stride length
* @param y - output array
* @param strideY - `y` stride length
* @returns output array
*
* @example
* var Float64Array = require( `@stdlib/array/float64` );
*
* var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );
* var y = new Float64Array( x.length );
*
* ns.dcusum( x.length, 0.0, x, 1, y, 1 );
* // y => <Float64Array>[ 1.0, -1.0, 1.0 ]
*
* @example
* var Float64Array = require( `@stdlib/array/float64` );
*
* var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );
* var y = new Float64Array( x.length );
*
* ns.dcusum.ndarray( x.length, 0.0, x, 1, 0, y, 1, 0 );
* // y => <Float64Array>[ 1.0, -1.0, 1.0 ]
*/
dcusum: typeof dcusum;
/**
* Computes the cumulative sum of double-precision floating-point strided array elements using an improved Kahan–Babuška algorithm.
*
* @param N - number of indexed elements
* @param sum - initial sum
* @param x - input array
* @param strideX - `x` stride length
* @param y - output array
* @param strideY - `y` stride length
* @returns output array
*
* @example
* var Float64Array = require( `@stdlib/array/float64` );
*
* var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );
* var y = new Float64Array( x.length );
*
* ns.dcusumkbn( x.length, 0.0, x, 1, y, 1 );
* // y => <Float64Array>[ 1.0, -1.0, 1.0 ]
*
* @example
* var Float64Array = require( `@stdlib/array/float64` );
*
* var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );
* var y = new Float64Array( x.length );
*
* ns.dcusumkbn.ndarray( x.length, 0.0, x, 1, 0, y, 1, 0 );
* // y => <Float64Array>[ 1.0, -1.0, 1.0 ]
*/
dcusumkbn: typeof dcusumkbn;
/**
* Computes the cumulative sum of double-precision floating-point strided array elements using a second-order iterative Kahan–Babuška algorithm.
*
* @param N - number of indexed elements
* @param sum - initial sum
* @param x - input array
* @param strideX - `x` stride length
* @param y - output array
* @param strideY - `y` stride length
* @returns output array
*
* @example
* var Float64Array = require( `@stdlib/array/float64` );
*
* var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );
* var y = new Float64Array( x.length );
*
* ns.dcusumkbn2( x.length, 0.0, x, 1, y, 1 );
* // y => <Float64Array>[ 1.0, -1.0, 1.0 ]
*
* @example
* var Float64Array = require( `@stdlib/array/float64` );
*
* var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );
* var y = new Float64Array( x.length );
*
* ns.dcusumkbn2.ndarray( x.length, 0.0, x, 1, 0, y, 1, 0 );
* // y => <Float64Array>[ 1.0, -1.0, 1.0 ]
*/
dcusumkbn2: typeof dcusumkbn2;
/**
* Computes the cumulative sum of double-precision floating-point strided array elements using ordinary recursive summation.
*
* @param N - number of indexed elements
* @param sum - initial sum
* @param x - input array
* @param strideX - `x` stride length
* @param y - output array
* @param strideY - `y` stride length
* @returns output array
*
* @example
* var Float64Array = require( `@stdlib/array/float64` );
*
* var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );
* var y = new Float64Array( x.length );
*
* ns.dcusumors( x.length, 0.0, x, 1, y, 1 );
* // y => <Float64Array>[ 1.0, -1.0, 1.0 ]
*
* @example
* var Float64Array = require( `@stdlib/array/float64` );
*
* var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );
* var y = new Float64Array( x.length );
*
* ns.dcusumors.ndarray( x.length, 0.0, x, 1, 0, y, 1, 0 );
* // y => <Float64Array>[ 1.0, -1.0, 1.0 ]
*/
dcusumors: typeof dcusumors;
/**
* Computes the cumulative sum of double-precision floating-point strided array elements using pairwise summation.
*
* @param N - number of indexed elements
* @param sum - initial sum
* @param x - input array
* @param strideX - `x` stride length
* @param y - output array
* @param strideY - `y` stride length
* @returns output array
*
* @example
* var Float64Array = require( `@stdlib/array/float64` );
*
* var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );
* var y = new Float64Array( x.length );
*
* ns.dcusumpw( x.length, 0.0, x, 1, y, 1 );
* // y => <Float64Array>[ 1.0, -1.0, 1.0 ]
*
* @example
* var Float64Array = require( `@stdlib/array/float64` );
*
* var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );
* var y = new Float64Array( x.length );
*
* ns.dcusumpw.ndarray( x.length, 0.0, x, 1, 0, y, 1, 0 );
* // y => <Float64Array>[ 1.0, -1.0, 1.0 ]
*/
dcusumpw: typeof dcusumpw;
/**
* Fills a double-precision floating-point strided array with a specified scalar value.
*
* @param N - number of indexed elements
* @param alpha - constant
* @param x - input array
* @param stride - stride length
* @returns `x`
*
* @example
* var Float64Array = require( `@stdlib/array/float64` );
*
* var x = new Float64Array( [ -2.0, 1.0, 3.0, -5.0, 4.0, 0.0, -1.0, -3.0 ] );
*
* ns.dfill( x.length, 5.0, x, 1 );
* // x => <Float64Array>[ 5.0, 5.0, 5.0, 0.0, 5.0, 5.0, 5.0, 5.0 ]
*
* @example
* var Float64Array = require( `@stdlib/array/float64` );
*
* var x = new Float64Array( [ -2.0, 1.0, 3.0, -5.0, 4.0, 0.0, -1.0, -3.0 ] );
*
* ns.dfill.ndarray( x.length, 5.0, x, 1, 0 );
* // x => <Float64Array>[ 5.0, 5.0, 5.0, 0.0, 5.0, 5.0, 5.0, 5.0 ]
*/
dfill: typeof dfill;
/**
* Computes the sum of absolute values (L1 norm) of double-precision floating-point strided array elements, ignoring `NaN` values.
*
* @param N - number of indexed elements
* @param x - input array
* @param stride - stride length
* @returns sum
*
* @example
* var Float64Array = require( `@stdlib/array/float64` );
*
* var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );
*
* var v = ns.dnanasum( x.length, x, 1 );
* // returns 5.0
*
* @example
* var Float64Array = require( `@stdlib/array/float64` );
*
* var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );
*
* var v = ns.dnanasum.ndarray( x.length, x, 1, 0 );
* // returns 5.0
*/
dnanasum: typeof dnanasum;
/**
* Computes the sum of absolute values (L1 norm) of double-precision floating-point strided array elements, ignoring `NaN` values and using ordinary recursive summation.
*
* @param N - number of indexed elements
* @param x - input array
* @param stride - stride length
* @returns sum
*
* @example
* var Float64Array = require( `@stdlib/array/float64` );
*
* var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );
*
* var v = ns.dnanasumors( x.length, x, 1 );
* // returns 5.0
*
* @example
* var Float64Array = require( `@stdlib/array/float64` );
*
* var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );
*
* var v = ns.dnanasumors.ndarray( x.length, x, 1, 0 );
* // returns 5.0
*/
dnanasumors: typeof dnanasumors;
/**
* Computes the sum of double-precision floating-point strided array elements, ignoring `NaN` values.
*
* @param N - number of indexed elements
* @param x - input array
* @param strideX - `x` stride length
* @param out - output array whose first element is the sum and whose second element is the number of non-NaN elements
* @param strideOut - `out` stride length
* @returns output array
*
* @example
* var Float64Array = require( `@stdlib/array/float64` );
*
* var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );
* var out = new Float64Array( 2 );
*
* var v = ns.dnannsum( x.length, x, 1, out, 1 );
* // returns <Float64Array>[ 1.0, 3 ]
*
* @example
* var Float64Array = require( `@stdlib/array/float64` );
*
* var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );
* var out = new Float64Array( 2 );
*
* var v = ns.dnannsum( x.length, x, 1, 0, out, 1, 0 );
* // returns <Float64Array>[ 1.0, 3 ]
*/
dnannsum: typeof dnannsum;
/**
* Computes the sum of double-precision floating-point strided array elements, ignoring `NaN` values and using an improved Kahan–Babuška algorithm.
*
* @param N - number of indexed elements
* @param x - input array
* @param strideX - `x` stride length
* @param out - output array whose first element is the sum and whose second element is the number of non-NaN elements
* @param strideOut - `out` stride length
* @returns output array
*
* @example
* var Float64Array = require( `@stdlib/array/float64` );
*
* var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );
* var out = new Float64Array( 2 );
*
* var v = ns.dnannsumkbn( x.length, x, 1, out, 1 );
* // returns <Float64Array>[ 1.0, 3 ]
*
* @example
* var Float64Array = require( `@stdlib/array/float64` );
*
* var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );
* var out = new Float64Array( 2 );
*
* var v = ns.dnannsumkbn( x.length, x, 1, 0, out, 1, 0 );
* // returns <Float64Array>[ 1.0, 3 ]
*/
dnannsumkbn: typeof dnannsumkbn;
/**
* Computes the sum of double-precision floating-point strided array elements, ignoring `NaN` values and using a second-order iterative Kahan–Babuška algorithm.
*
* @param N - number of indexed elements
* @param x - input array
* @param strideX - `x` stride length
* @param out - output array whose first element is the sum and whose second element is the number of non-NaN elements
* @param strideOut - `out` stride length
* @returns output array
*
* @example
* var Float64Array = require( `@stdlib/array/float64` );
*
* var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );
* var out = new Float64Array( 2 );
*
* var v = ns.dnannsumkbn2( x.length, x, 1, out, 1 );
* // returns <Float64Array>[ 1.0, 3 ]
*
* @example
* var Float64Array = require( `@stdlib/array/float64` );
*
* var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );
* var out = new Float64Array( 2 );
*
* var v = ns.dnannsumkbn2( x.length, x, 1, 0, out, 1, 0 );
* // returns <Float64Array>[ 1.0, 3 ]
*/
dnannsumkbn2: typeof dnannsumkbn2;
/**
* Computes the sum of double-precision floating-point strided array elements, ignoring `NaN` values and using ordinary recursive summation.
*
* @param N - number of indexed elements
* @param x - input array
* @param strideX - `x` stride length
* @param out - output array whose first element is the sum and whose second element is the number of non-NaN elements
* @param strideOut - `out` stride length
* @returns output array
*
* @example
* var Float64Array = require( `@stdlib/array/float64` );
*
* var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );
* var out = new Float64Array( 2 );
*
* var v = ns.dnannsumors( x.length, x, 1, out, 1 );
* // returns <Float64Array>[ 1.0, 3 ]
*
* @example
* var Float64Array = require( `@stdlib/array/float64` );
*
* var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );
* var out = new Float64Array( 2 );
*
* var v = ns.dnannsumors( x.length, x, 1, 0, out, 1, 0 );
* // returns <Float64Array>[ 1.0, 3 ]
*/
dnannsumors: typeof dnannsumors;
/**
* Computes the sum of double-precision floating-point strided array elements, ignoring `NaN` values and using pairwise summation.
*
* @param N - number of indexed elements
* @param x - input array
* @param strideX - `x` stride length
* @param out - output array whose first element is the sum and whose second element is the number of non-NaN elements
* @param strideOut - `out` stride length
* @returns output array
*
* @example
* var Float64Array = require( `@stdlib/array/float64` );
*
* var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );
* var out = new Float64Array( 2 );
*
* var v = ns.dnannsumpw( x.length, x, 1, out, 1 );
* // returns <Float64Array>[ 1.0, 3 ]
*
* @example
* var Float64Array = require( `@stdlib/array/float64` );
*
* var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );
* var out = new Float64Array( 2 );
*
* var v = ns.dnannsumpw( x.length, x, 1, 0, out, 1, 0 );
* // returns <Float64Array>[ 1.0, 3 ]
*/
dnannsumpw: typeof dnannsumpw;
/**
* Computes the sum of double-precision floating-point strided array elements, ignoring `NaN` values.
*
* @param N - number of indexed elements
* @param x - input array
* @param stride - stride length
* @returns sum
*
* @example
* var Float64Array = require( `@stdlib/array/float64` );
*
* var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );
*
* var v = ns.dnansum( x.length, x, 1 );
* // returns 1.0
*
* @example
* var Float64Array = require( `@stdlib/array/float64` );
*
* var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );
*
* var v = ns.dnansum.ndarray( x.length, x, 1, 0 );
* // returns 1.0
*/
dnansum: typeof dnansum;
/**
* Computes the sum of double-precision floating-point strided array elements, ignoring `NaN` values and using an improved Kahan–Babuška algorithm.
*
* @param N - number of indexed elements
* @param x - input array
* @param stride - stride length
* @returns sum
*
* @example
* var Float64Array = require( `@stdlib/array/float64` );
*
* var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );
*
* var v = ns.dnansumkbn( x.length, x, 1 );
* // returns 1.0
*
* @example
* var Float64Array = require( `@stdlib/array/float64` );
*
* var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );
*
* var v = ns.dnansumkbn.ndarray( x.length, x, 1, 0 );
* // returns 1.0
*/
dnansumkbn: typeof dnansumkbn;
/**
* Computes the sum of double-precision floating-point strided array elements, ignoring `NaN` values and using a second-order iterative Kahan–Babuška algorithm.
*
* @param N - number of indexed elements
* @param x - input array
* @param stride - stride length
* @returns sum
*
* @example
* var Float64Array = require( `@stdlib/array/float64` );
*
* var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );
*
* var v = ns.dnansumkbn2( x.length, x, 1 );
* // returns 1.0
*
* @example
* var Float64Array = require( `@stdlib/array/float64` );
*
* var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );
*
* var v = ns.dnansumkbn2.ndarray( x.length, x, 1, 0 );
* // returns 1.0
*/
dnansumkbn2: typeof dnansumkbn2;
/**
* Computes the sum of double-precision floating-point strided array elements, ignoring `NaN` values and using ordinary recursive summation.
*
* @param N - number of indexed elements
* @param x - input array
* @param stride - stride length
* @returns sum
*
* @example
* var Float64Array = require( `@stdlib/array/float64` );
*
* var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );
*
* var v = ns.dnansumors( x.length, x, 1 );
* // returns 1.0
*
* @example
* var Float64Array = require( `@stdlib/array/float64` );
*
* var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );
*
* var v = ns.dnansumors.ndarray( x.length, x, 1, 0 );
* // returns 1.0
*/
dnansumors: typeof dnansumors;
/**
* Computes the sum of double-precision floating-point strided array elements, ignoring `NaN` values and using pairwise summation.
*
* @param N - number of indexed elements
* @param x - input array
* @param stride - stride length
* @returns sum
*
* @example
* var Float64Array = require( `@stdlib/array/float64` );
*
* var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );
*
* var v = ns.dnansumpw( x.length, x, 1 );
* // returns 1.0
*
* @example
* var Float64Array = require( `@stdlib/array/float64` );
*
* var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );
*
* var v = ns.dnansumpw.ndarray( x.length, x, 1, 0 );
* // returns 1.0
*/
dnansumpw: typeof dnansumpw;
/**
* Reverses a double-precision floating-point strided array in-place.
*
* @param N - number of indexed elements
* @param x - input array
* @param stride - stride length
* @returns `x`
*
* @example
* var Float64Array = require( `@stdlib/array/float64` );
*
* var x = new Float64Array( [ -2.0, 1.0, 3.0, -5.0, 4.0, 0.0, -1.0, -3.0 ] );
*
* ns.drev( x.length, x, 1 );
* // x => <Float64Array>[ -3.0, -1.0, 0.0, 4.0, -5.0, 3.0, 1.0, -2.0 ]
*
* @example
* var Float64Array = require( `@stdlib/array/float64` );
*
* var x = new Float64Array( [ -2.0, 1.0, 3.0, -5.0, 4.0, 0.0, -1.0, -3.0 ] );
*
* ns.drev.ndarray( x.length, x, 1, 0 );
* // x => <Float64Array>[ -3.0, -1.0, 0.0, 4.0, -5.0, 3.0, 1.0, -2.0 ]
*/
drev: typeof drev;
/**
* Adds a constant to each single-precision floating-point strided array element and computes the sum using extended accumulation and returning an extended precision result.
*
* @param N - number of indexed elements
* @param alpha - constant
* @param x - input array
* @param stride - stride length
* @returns sum
*
* @example
* var Float32Array = require( `@stdlib/array/float32` );
*
* var x = new Float32Array( [ 1.0, -2.0, 2.0 ] );
*
* var v = ns.dsapxsum( x.length, 5.0, x, 1 );
* // returns 16.0
*
* @example
* var Float32Array = require( `@stdlib/array/float32` );
*
* var x = new Float32Array( [ 1.0, -2.0, 2.0 ] );
*
* var v = ns.dsapxsum.ndarray( x.length, 5.0, x, 1, 0 );
* // returns 16.0
*/
dsapxsum: typeof dsapxsum;
/**
* Adds a constant to each single-precision floating-point strided array element and computes the sum using pairwise summation with extended accumulation and returning an extended precision result.
*
* @param N - number of indexed elements
* @param alpha - constant
* @param x - input array
* @param stride - stride length
* @returns sum
*
* @example
* var Float32Array = require( `@stdlib/array/float32` );
*
* var x = new Float32Array( [ 1.0, -2.0, 2.0 ] );
*
* var v = ns.dsapxsumpw( x.length, 5.0, x, 1 );
* // returns 16.0
*
* @example
* var Float32Array = require( `@stdlib/array/float32` );
*
* var x = new Float32Array( [ 1.0, -2.0, 2.0 ] );
*
* var v = ns.dsapxsumpw.ndarray( x.length, 5.0, x, 1, 0 );
* // returns 16.0
*/
dsapxsumpw: typeof dsapxsumpw;
/**
* Computes the sum of single-precision floating-point strided array elements, ignoring `NaN` values, using ordinary recursive summation with extended accumulation, and returning an extended precision result.
*
* @param N - number of indexed elements
* @param x - input array
* @param strideX - `x` stride length
* @param out - output array whose first element is the sum and whose second element is the number of non-NaN elements
* @param strideOut - `out` stride length
* @returns output array
*
* @example
* var Float32Array = require( `@stdlib/array/float32` );
* var Float64Array = require( `@stdlib/array/float64` );
*
* var x = new Float32Array( [ 1.0, -2.0, NaN, 2.0 ] );
* var out = new Float64Array( 2 );
*
* var v = ns.dsnannsumors( x.length, x, 1, out, 1 );
* // returns <Float64Array>[ 1.0, 3 ]
*
* @example
* var Float32Array = require( `@stdlib/array/float32` );
* var Float64Array = require( `@stdlib/array/float64` );
*
* var x = new Float32Array( [ 1.0, -2.0, NaN, 2.0 ] );
* var out = new Float64Array( 2 );
*
* var v = ns.dsnannsumors( x.length, x, 1, 0, out, 1, 0 );
* // returns <Float64Array>[ 1.0, 3 ]
*/
dsnannsumors: typeof dsnannsumors;
/**
* Computes the sum of single-precision floating-point strided array elements, ignoring `NaN` values, using extended accumulation, and returning an extended precision result.
*
* @param N - number of indexed elements
* @param x - input array
* @param stride - stride length
* @returns sum
*
* @example
* var Float32Array = require( `@stdlib/array/float32` );
*
* var x = new Float32Array( [ 1.0, -2.0, NaN, 2.0 ] );
*
* var v = ns.dsnansum( x.length, x, 1 );
* // returns 1.0
*
* @example
* var Float32Array = require( `@stdlib/array/float32` );
*
* var x = new Float32Array( [ 1.0, -2.0, NaN, 2.0 ] );
*
* var v = ns.dsnansum.ndarray( x.length, x, 1, 0 );
* // returns 1.0
*/
dsnansum: typeof dsnansum;
/**
* Computes the sum of single-precision floating-point strided array elements, ignoring `NaN` values, using ordinary recursive summation with extended accumulation, and returning an extended precision result.
*
* @param N - number of indexed elements
* @param x - input array
* @param stride - stride length
* @returns sum
*
* @example
* var Float32Array = require( `@stdlib/array/float32` );
*
* var x = new Float32Array( [ 1.0, -2.0, NaN, 2.0 ] );
*
* var v = ns.dsnansumors( x.length, x, 1 );
* // returns 1.0
*
* @example
* var Float32Array = require( `@stdlib/array/float32` );