A proposal to add a method to sum multiple values to JavaScript.
Authors: Kevin Gibbons
Champions: Kevin Gibbons
This proposal is at stage 3 of the TC39 process: the proposal is ready for implementations. Tests are available in test262. See issue #19 for implementation status.
Summing a list is a very common operation and is one of the few remaining use cases for Array.prototype.reduce. Better to let users express that operation directy.
Also, summing a list of floating point numbers can be done more precisely than the naive .reduce((a, b) => a + b, 0) approach using more clever algorithms, a fact which few JavaScript programmers are aware of (and even among those who are, most wouldn't bother doing it). We can make it easy to reach for the better option.
Add an iterable-taking Math.sumPrecise method which returns the sum of the values in the iterable using a more precise algorithm than naive summation.
let values = [1e20, 0.1, -1e20];
values.reduce((a, b) => a + b, 0); // 0
Math.sumPrecise(values); // 0.1Instead of specifying any particular algorithm, this proposal requires the maximally correct answer - that is, the answer you'd get if you did arbitrary-precision arithmetic, then converted the result back to floats. This can be done without actually needing arbitrary-precision arithmetic. One way of doing this is given in Shewchuk '96, which I've implemented in JS (plus some details to handle intermediate overflow). Other strategies are possible.
Python's math.fsum is currently implemented using the same algorithm (though without handling intermediate overflow).
A more recent algorithm is given in Fast exact summation using small and large superaccumulators by Radford M. Neal, MIT-licensed code for which is available here.
Math.max precedent suggests variadic, but that's really not what you want - once your lists get larger than a few tens of thousands of elements, you'll probably overflow the stack and get a RangeError.
So this proposal includes only an iterable-taking form.
Math.sum is the obvious name, but it's not obvious that this going to be a different (slower) algorithm than naive summation. This is called Math.sumPrecise to call attention to that difference.
It will reject non-number values, breaking with precedent from Math.max.
It is -0. This is the floating point additive identity. This choice ensures that Math.sumPrecise([]) + Math.sumPrecise(foo) always gives the same answer as Math.sumPrecise(foo).
No - it's important that Math.sumPrecise() returns the Number -0 (or 0), which means that 5n + Math.sumPrecise(bigints) would throw when bigints is empty, which would be bad.
We could have seperate methods for summing BigInts. I'd vote for BigInt.sum or BigInt.sumFrom, depending on the outcome of the naming discussion above. But such a method will not be part of this proposal.
That comes up much less so I'm not currently proposing it.