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https://issues.apache.org/jira/browse/NUMBERS-163?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17363285#comment-17363285
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Gilles Sadowski commented on NUMBERS-163:
-----------------------------------------
bq. Can you flesh out the API you're proposing?
In part, it's the same as in you PR, minus the {{Accumulator}} class:
{code}
LinearCombination acc = LinearCombination.of(0, 0, 0, 0)
.add(u1, v1)
.add(u2, v2)
.add(u3, v3)
.add(u4, v4);
{code}
We could also provide
{code}
LinearCombination s = LinearCombination.of(u1, v1, u2, v2);
s = s.add(LinearCombination.of(u3, v3, u4, v4));
{code}
> Summation and LinearCombination Accumulators
> --------------------------------------------
>
> Key: NUMBERS-163
> URL: https://issues.apache.org/jira/browse/NUMBERS-163
> Project: Commons Numbers
> Issue Type: New Feature
> Reporter: Matt Juntunen
> Priority: Major
> Time Spent: 0.5h
> Remaining Estimate: 0h
>
> It would be useful to have simple accumulator classes in {{Summation}} and
> {{LinearCombination}} to perform extended precision operations on arbitrary
> collections of values without requiring conversion to {{double[]}}. Ex:
> {code:java}
> Summation.Accumulator sum= Summation.accumulator(1d);
> sum.add(x)
> .add(y)
> .add(z)
> .add(w);
> double sumResult = sum.get();
> LinearCombination.Accumulator comb = LinearCombination.accumulator(1d);
> comb.add(x, scale)
> .add(y, scale)
> .add(z, scale)
> .add(w, scale);
> double combResult = comb.get();
> {code}
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