Compute a sum incrementally.
The sum is defined as
var incrsum = require( '@stdlib/stats/incr/sum' );
Returns an accumulator function
which incrementally computes a sum.
var accumulator = incrsum();
If provided an input value x
, the accumulator function returns an updated sum. If not provided an input value x
, the accumulator function returns the current sum.
var accumulator = incrsum();
var sum = accumulator( 2.0 );
// returns 2.0
sum = accumulator( 1.0 );
// returns 3.0
sum = accumulator( 3.0 );
// returns 6.0
sum = accumulator();
// returns 6.0
- Input values are not type checked. If provided
NaN
or a value which, when used in computations, results inNaN
, the accumulated value isNaN
for all future invocations. If non-numeric inputs are possible, you are advised to type check and handle accordingly before passing the value to the accumulator function. - For long running accumulations or accumulations of large numbers, care should be taken to prevent overflow.
var randu = require( '@stdlib/random/base/randu' );
var incrsum = require( '@stdlib/stats/incr/sum' );
var accumulator;
var v;
var i;
// Initialize an accumulator:
accumulator = incrsum();
// For each simulated datum, update the sum...
for ( i = 0; i < 100; i++ ) {
v = randu() * 100.0;
accumulator( v );
}
console.log( accumulator() );
- Klein, Andreas. 2005. "A Generalized Kahan-Babuška-Summation-Algorithm." Computing 76 (3): 279–93. doi:10.1007/s00607-005-0139-x.
@stdlib/stats/incr/count
: compute a count incrementally.@stdlib/stats/incr/mean
: compute an arithmetic mean incrementally.@stdlib/stats/incr/msum
: compute a moving sum incrementally.@stdlib/stats/incr/prod
: compute a product incrementally.@stdlib/stats/incr/summary
: compute a statistical summary incrementally.