Press n or j to go to the next uncovered block, b, p or k for the previous block.
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* @license Apache-2.0
*
* Copyright (c) 2026 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.
*/
'use strict';
// MODULES //
var abs = require( '@stdlib/math/base/special/abs' );
var pow = require( '@stdlib/math/base/special/pow' );
var dcityblock = require( '@stdlib/stats/strided/distances/dcityblock' ).ndarray;
var deuclidean = require( '@stdlib/stats/strided/distances/deuclidean' ).ndarray;
var dchebyshev = require( '@stdlib/stats/strided/distances/dchebyshev' ).ndarray;
var PINF = require( '@stdlib/constants/float64/pinf' );
// MAIN //
/**
* Computes the Minkowski distance between two double-precision floating-point strided arrays using alternative indexing semantics.
*
* @param {NonNegativeInteger} N - number of indexed elements
* @param {number} p - order of the Minkowski norm
* @param {Float64Array} x - first input array
* @param {integer} strideX - stride length of `x`
* @param {NonNegativeInteger} offsetX - starting index for `x`
* @param {Float64Array} y - second input array
* @param {integer} strideY - stride length of `y`
* @param {NonNegativeInteger} offsetY - starting index for `y`
* @returns {number} Minkowski distance
*
* @example
* var Float64Array = require( '@stdlib/array/float64' );
*
* var x = new Float64Array( [ 4.0, 2.0, -3.0, 5.0, -1.0 ] );
* var y = new Float64Array( [ 2.0, 6.0, -1.0, -4.0, 8.0 ] );
*
* var z = dminkowski( x.length, 3, x, 1, 0, y, 1, 0 );
* // returns ~11.543
*/
function dminkowski( N, p, x, strideX, offsetX, y, strideY, offsetY ) {
var ox;
var oy;
var i;
var d;
var s;
if ( N <= 0 ) {
return NaN;
}
if ( p === 1.0 ) {
return dcityblock( N, x, strideX, offsetX, y, strideY, offsetY );
}
if ( p === 2.0 ) {
return deuclidean( N, x, strideX, offsetX, y, strideY, offsetY );
}
if ( p === PINF ) {
return dchebyshev( N, x, strideX, offsetX, y, strideY, offsetY );
}
ox = offsetX;
oy = offsetY;
d = 0.0;
for ( i = 0; i < N; i++ ) {
s = abs( x[ ox ] - y[ oy ] );
d += pow( s, p );
ox += strideX;
oy += strideY;
}
return pow( d, 1.0/p );
}
// EXPORTS //
module.exports = dminkowski;
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