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Element-wise subtraction of two strided arrays via a callback function.
npm install @stdlib/math-strided-ops-sub-by
var subBy = require( '@stdlib/math-strided-ops-sub-by' );
Performs element-wise subtraction of two strided arrays via a callback function and assigns each result to an element in an output strided array.
function accessor( values ) {
return values;
}
var x = [ 11.0, 12.0, 13.0, 14.0, 15.0 ];
var y = [ 8.0, 7.0, 6.0, 5.0, 4.0 ];
var z = [ 0.0, 0.0, 0.0, 0.0, 0.0 ];
subBy( x.length, x, 1, y, 1, z, 1, accessor );
// z => [ 3.0, 5.0, 7.0, 9.0, 11.0 ]
The function accepts the following arguments:
- N: number of indexed elements.
-
x: input
Array
,typed array
, or an array-like object (excluding strings and functions). -
strideX: index increment for
x
. -
y: input
Array
,typed array
, or an array-like object (excluding strings and functions). -
strideY: index increment for
y
. -
z: output
Array
,typed array
, or an array-like object (excluding strings and functions). -
strideZ: index increment for
z
. - clbk: callback function.
- thisArg: execution context (optional).
The invoked callback function is provided four arguments:
-
values: input array element values
[vx, vy]
. - idx: iteration index (zero-based).
-
indices: input and output array strided indices
[ix, iy, iz]
(computed according tooffset + idx*stride
). -
arrays: input and output arrays/collections
[x, y, z]
.
To set the callback execution context, provide a thisArg
.
function accessor( values ) {
this.count += 1;
return values;
}
var context = {
'count': 0
};
var x = [ 11.0, 12.0, 13.0, 14.0, 15.0 ];
var y = [ 8.0, 7.0, 6.0, 5.0, 4.0 ];
var z = [ 0.0, 0.0, 0.0, 0.0, 0.0 ];
subBy( x.length, x, 1, y, 1, z, 1, accessor, context );
// z => [ 3.0, 5.0, 7.0, 9.0, 11.0 ]
var cnt = context.count;
// returns 5
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,
function accessor( values ) {
return values;
}
var x = [ 11.0, 12.0, 13.0, 14.0, 15.0, 16.0 ];
var y = [ 8.0, 7.0, 6.0, 5.0, 4.0, 3.0 ];
var z = [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ];
subBy( 3, x, 2, y, -1, z, 1, accessor );
// z => [ 5.0, 6.0, 7.0, 0.0, 0.0, 0.0 ]
Note that indexing is relative to the first index. To introduce an offset, use typed array
views.
var Float64Array = require( '@stdlib/array-float64' );
function accessor( values ) {
return values;
}
// Initial arrays...
var x0 = new Float64Array( [ 11.0, 12.0, 13.0, 14.0, 15.0, 16.0 ] );
var y0 = new Float64Array( [ 8.0, 7.0, 6.0, 5.0, 4.0, 3.0 ] );
var z0 = new Float64Array( [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ] );
// 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*3 ); // start at 4th element
subBy( 3, x1, -2, y1, 1, z1, 1, accessor );
// z0 => <Float64Array>[ 0.0, 0.0, 0.0, 11.0, 10.0, 9.0 ]
Performs element-wise subtraction of two strided arrays via a callback function and assigns each result to an element in an output strided array using alternative indexing semantics.
function accessor( values ) {
return values;
}
var x = [ 11.0, 12.0, 13.0, 14.0, 15.0 ];
var y = [ 8.0, 7.0, 6.0, 5.0, 4.0 ];
var z = [ 0.0, 0.0, 0.0, 0.0, 0.0 ];
subBy.ndarray( x.length, x, 1, 0, y, 1, 0, z, 1, 0, accessor );
// z => [ 3.0, 5.0, 7.0, 9.0, 11.0 ]
The function accepts the following additional arguments:
-
offsetX: starting index for
x
. -
offsetY: starting index for
y
. -
offsetZ: starting index for
z
.
While typed array
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
,
function accessor( values ) {
return values;
}
var x = [ 11.0, 12.0, 13.0, 14.0, 15.0, 16.0 ];
var y = [ 8.0, 7.0, 6.0, 5.0, 4.0, 3.0 ];
var z = [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ];
subBy.ndarray( 3, x, 2, 1, y, -1, y.length-1, z, 1, 2, accessor );
// z => [ 0.0, 0.0, 0.0, 11.0, 10.0, 9.0 ]
-
If a provided callback function does not return any value (or equivalently, explicitly returns
undefined
), the value is ignored.function accessor() { // No-op... } var x = [ 11.0, 12.0, 13.0, 14.0, 15.0 ]; var y = [ 8.0, 7.0, 6.0, 5.0, 4.0 ]; var z = [ 0.0, 0.0, 0.0, 0.0, 0.0 ]; subBy( x.length, x, 1, y, 1, z, 1, accessor ); // z => [ 0.0, 0.0, 0.0, 0.0, 0.0 ]
var uniform = require( '@stdlib/random-base-uniform' ).factory;
var filledarray = require( '@stdlib/array-filled' );
var filledarrayBy = require( '@stdlib/array-filled-by' );
var subBy = require( '@stdlib/math-strided-ops-sub-by' );
function accessor( values, i ) {
if ( (i%3) === 0 ) {
// Simulate a "missing" value...
return;
}
return values;
}
var x = filledarrayBy( 10, 'generic', uniform( -10.0, 10.0 ) );
console.log( x );
var y = filledarrayBy( x.length, 'generic', uniform( -10.0, 10.0 ) );
console.log( y );
var z = filledarray( null, x.length, 'generic' );
console.log( z );
subBy.ndarray( x.length, x, 1, 0, y, -1, y.length-1, z, 1, 0, accessor );
console.log( z );
This package is part of 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.
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