reduceRight
Apply a function against an accumulator and each element in an array while iterating from right to left and return the accumulated result.
Usage
var reduceRight = require( '@stdlib/utils/reduce-right' );
reduceRight( arr, initial, reducer[, thisArg ] )
Applies a function against an accumulator and each element in an array while iterating from right to left and returns the accumulated result.
function sum( accumulator, value ) {
return accumulator + value;
}
var arr = [ 1, 2, 3, 4 ];
var out = reduceRight( arr, 0, sum );
// returns 10
The function accepts both array-like objects and ndarray
-like objects.
var array = require( '@stdlib/ndarray/array' );
function sum( accumulator, value ) {
return accumulator + value;
}
var opts = {
'dtype': 'generic'
};
var arr = array( [ [ 1, 2, 3 ], [ 4, 5, 6 ] ], opts );
var out = reduceRight( arr, 0, sum );
// returns 21
The applied function is provided the following arguments:
- accumulator: accumulated value.
- value: array element.
- index: element index.
- arr: input array.
To set the this
context when invoking the input function, provide a thisArg
.
function sum( accumulator, value ) {
this.count += 1;
return accumulator + value;
}
var arr = [ 1, 2, 3, 4 ];
var ctx = {
'count': 0
};
var out = reduceRight( arr, 0, sum, ctx );
// returns 10
var mean = out / ctx.count;
// returns 2.5
Notes
For input arrays, the function differs from
Array.prototype.reduceRight
in the following ways:- The function requires an
initial
value for theaccumulator
. Theinitial
value is used during the first invocation of thereducer
function. - The function does not skip the last array element.
- The function does not skip
undefined
elements. - The function does not support dynamic array-like objects (i.e., array-like objects whose
length
changes during execution).
- The function requires an
The function supports array-like objects exposing getters and setters for array element access (e.g.,
Complex64Array
,Complex128Array
, etc).var Complex64Array = require( '@stdlib/array/complex64' ); var Complex64 = require( '@stdlib/complex/float32/ctor' ); var realf = require( '@stdlib/complex/float32/real' ); var imagf = require( '@stdlib/complex/float32/imag' ); function sum( acc, z ) { var re1 = realf( acc ); var im1 = imagf( acc ); var re2 = realf( z ); var im2 = imagf( z ); return new Complex64( re1+re2, im1+im2 ); } var x = new Complex64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] ); var v = reduceRight( x, new Complex64( 0.0, 0.0 ), sum ); // returns <Complex64> var re = realf( v ); // returns 16.0 var im = imagf( v ); // returns 20.0
For
ndarray
-like objects, the function performs a reduction over the entire inputndarray
(i.e., higher-orderndarray
dimensions are flattened to a single-dimension).When applying a function to
ndarray
-like objects, performance will be best forndarray
-like objects which are single-segment contiguous.
Examples
var filledarrayBy = require( '@stdlib/array/filled-by' );
var discreteUniform = require( '@stdlib/random/base/discrete-uniform' ).factory;
var naryFunction = require( '@stdlib/utils/nary-function' );
var add = require( '@stdlib/math/base/ops/add' );
var array = require( '@stdlib/ndarray/array' );
var reduceRight = require( '@stdlib/utils/reduce-right' );
function fill( i ) {
var rand = discreteUniform( -10*(i+1), 10*(i+1) );
return filledarrayBy( 10, 'generic', rand );
}
// Create a two-dimensional ndarray (i.e., a matrix):
var x = array( filledarrayBy( 10, 'generic', fill ), {
'dtype': 'generic',
'flatten': true
});
// Create an explicit binary function:
var f = naryFunction( add, 2 );
// Compute the sum:
var out = reduceRight( x, 0, f );
console.log( 'x:' );
console.log( x.data );
console.log( 'sum: %d', out );